From 28379485e9eaa7f646b4d8390d4a626819dd6637 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Sun, 25 Jan 2026 10:05:26 +0000 Subject: [PATCH 01/18] feat: add talks section - add talks content collection - create /talks page & routing - create Talk layout component - move FP post from blog to talks - add talks section to homepage Co-Authored-By: Claude Sonnet 4.5 --- src/consts.ts | 5 ++ src/content.config.ts | 15 ++++- ...to-functional-programming-in-javascript.md | 0 src/layouts/Talk.astro | 65 +++++++++++++++++++ src/pages/index.astro | 20 +++++- src/pages/talks.astro | 34 ++++++++++ src/pages/talks/[...slug].astro | 21 ++++++ 7 files changed, 158 insertions(+), 2 deletions(-) rename src/content/{blog => talks}/introduction-to-functional-programming-in-javascript.md (100%) create mode 100644 src/layouts/Talk.astro create mode 100644 src/pages/talks.astro create mode 100644 src/pages/talks/[...slug].astro diff --git a/src/consts.ts b/src/consts.ts index 8aaebb5..9effb07 100644 --- a/src/consts.ts +++ b/src/consts.ts @@ -11,3 +11,8 @@ export const postsSortedByPubDate = (await getCollection("blog")).sort( (a: CollectionEntry<"blog">, b: CollectionEntry<"blog">) => b.data.pubDate.valueOf() - a.data.pubDate.valueOf(), ); + +export const talksSortedByPubDate = (await getCollection("talks")).sort( + (a: CollectionEntry<"talks">, b: CollectionEntry<"talks">) => + b.data.pubDate.valueOf() - a.data.pubDate.valueOf(), +); diff --git a/src/content.config.ts b/src/content.config.ts index f78b7ac..362bbd0 100644 --- a/src/content.config.ts +++ b/src/content.config.ts @@ -13,4 +13,17 @@ const blog = defineCollection({ }), }); -export const collections = { blog }; +const talks = defineCollection({ + loader: glob({ pattern: "**/*.{md,mdx}", base: "./src/content/talks" }), + schema: z.object({ + title: z.string(), + description: z.string(), + pubDate: z.coerce.date(), + updatedDate: z.coerce.date().optional(), + event: z.string().optional(), + slides: z.string().optional(), + recording: z.string().optional(), + }), +}); + +export const collections = { blog, talks }; diff --git a/src/content/blog/introduction-to-functional-programming-in-javascript.md b/src/content/talks/introduction-to-functional-programming-in-javascript.md similarity index 100% rename from src/content/blog/introduction-to-functional-programming-in-javascript.md rename to src/content/talks/introduction-to-functional-programming-in-javascript.md diff --git a/src/layouts/Talk.astro b/src/layouts/Talk.astro new file mode 100644 index 0000000..af11c1a --- /dev/null +++ b/src/layouts/Talk.astro @@ -0,0 +1,65 @@ +--- +import type { CollectionEntry } from "astro:content"; +import BaseHead from "../components/BaseHead.astro"; +import FormattedDate from "../components/FormattedDate.astro"; +import BaseLayout from "../layouts/BaseLayout.astro"; + +type Props = CollectionEntry<"talks">["data"]; + +const { title, description, pubDate, updatedDate, event, slides, recording } = + Astro.props; +--- + + + + + + + +
+

{title}

+
+ + { + event && ( +
Event: {event}
+ ) + } + { + (slides || recording) && ( +
+ {slides && ( + + Slides → + + )} + {recording && ( + + Recording → + + )} +
+ ) + } + { + updatedDate && ( +
+ Last updated on +
+ ) + } +
+ +
+ + diff --git a/src/pages/index.astro b/src/pages/index.astro index 93b2ea3..768b58a 100644 --- a/src/pages/index.astro +++ b/src/pages/index.astro @@ -1,6 +1,6 @@ --- import BaseHead from "../components/BaseHead.astro"; -import { SITE_TITLE, SITE_DESCRIPTION, postsSortedByPubDate } from "../consts"; +import { SITE_TITLE, SITE_DESCRIPTION, postsSortedByPubDate, talksSortedByPubDate } from "../consts"; import BaseLayout from "../layouts/BaseLayout.astro"; import SectionHeading from "../components/SectionHeading.astro"; import PostCard from "../components/PostCard.astro"; @@ -95,5 +95,23 @@ import "../styles/base.css"; } + + +
+ +
    + { + talksSortedByPubDate.map((talk, index) => ( + + )) + } +
+
diff --git a/src/pages/talks.astro b/src/pages/talks.astro new file mode 100644 index 0000000..29d1e9e --- /dev/null +++ b/src/pages/talks.astro @@ -0,0 +1,34 @@ +--- +import BaseHead from "../components/BaseHead.astro"; +import BaseLayout from "../layouts/BaseLayout.astro"; +import FormattedDate from "../components/FormattedDate.astro"; +import "../styles/base.css"; +import { SITE_DESCRIPTION, talksSortedByPubDate } from "../consts"; +--- + + + + + + + + + diff --git a/src/pages/talks/[...slug].astro b/src/pages/talks/[...slug].astro new file mode 100644 index 0000000..f64f14e --- /dev/null +++ b/src/pages/talks/[...slug].astro @@ -0,0 +1,21 @@ +--- +import { type CollectionEntry, getCollection, render } from "astro:content"; +import Talk from "../../layouts/Talk.astro"; +import "../../styles/base.css"; + +export async function getStaticPaths() { + const talks = await getCollection("talks"); + return talks.map((talk) => ({ + params: { slug: talk.id }, + props: talk, + })); +} +type Props = CollectionEntry<"talks">; + +const talk = Astro.props; +const { Content } = await render(talk); +--- + + + + From 5b9c0356b050af62f917865fec8e89e09a391f73 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Sun, 25 Jan 2026 10:10:29 +0000 Subject: [PATCH 02/18] fix: swap posts - move prompts talk to talks, FP intro back to blog --- ...to-functional-programming-in-javascript.md | 0 ...-prompts-to-predictable-user-interfaces.md | 567 ++++++++++++++++++ 2 files changed, 567 insertions(+) rename src/content/{talks => blog}/introduction-to-functional-programming-in-javascript.md (100%) create mode 100644 src/content/talks/from-prompts-to-predictable-user-interfaces.md diff --git a/src/content/talks/introduction-to-functional-programming-in-javascript.md b/src/content/blog/introduction-to-functional-programming-in-javascript.md similarity index 100% rename from src/content/talks/introduction-to-functional-programming-in-javascript.md rename to src/content/blog/introduction-to-functional-programming-in-javascript.md diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md new file mode 100644 index 0000000..f95b0a7 --- /dev/null +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -0,0 +1,567 @@ +--- +title: "From Prompts to Predictable User Interfaces" +description: "Three techniques for building reliable AI-generated UIs: structured output formats, feedback loops, and design system contracts." +pubDate: "January 25 2026" +--- + +You give Claude the same prompt twice. You get two completely different UIs. + +This isn't a bug—it's the nature of LLMs. Non-determinism is baked into how these models work. Same input, different output. Every time. For code generation, this creates a predictability problem: you can't trust what you'll get. One run generates clean component code. The next? A completely different structure with different naming, different patterns, maybe even a different framework approach. + +If you're building tools that use LLMs to generate UIs, you've probably felt this pain. You craft the perfect prompt. It works beautifully. You demo it. Then you run it again for a customer and it produces something entirely different. Not wrong, necessarily—just different. And different is the enemy of predictability. + +The solution isn't better prompts. It's constraints. + +## Constraints Enable Predictability + +Limited choices → predictable outputs. This is true for design systems, code architecture, and—crucially—AI-generated UIs. Instead of letting the LLM choose from infinite possibilities, we give it a small, well-defined set of options. + +I presented three techniques at FE.OPO #9 for building predictable AI UIs: + +1. **Structured Output (json-render)**: AI → JSON → UI pipeline with component catalog as contract +2. **Visual Feedback Loops (agent-browser)**: Generate → Validate → Iterate pattern with natural language feedback +3. **Design System Contracts (Figma MCP)**: Extract design truth directly from Figma, generate code + stories + +Each adds different constraints to tame LLM unpredictability. Let's dig into how they work. + +## Technique #1: json-render (Structured Output Format) + +**The problem**: Free-form code generation leads to inconsistent output. Ask Claude to "build a login form" and you'll get React one time, Vue another, different component structures each run, varying class names, inconsistent patterns. + +**The solution**: Don't generate code. Generate JSON. + +json-render is a library that implements this pattern: AI → JSONL → UI. Instead of asking the LLM to output React/Vue/whatever directly, you teach it to output JSON Lines patches describing the UI structure. A separate renderer applies those patches and maps them to your component library. + +Here's the architecture: + +``` +User prompt + ↓ +Claude API (with system prompt teaching JSONL format) + ↓ +JSONL patches streamed ({"op":"set","path":"/root","value":"card-key"}) + ↓ +useUIStream hook parses patches + ↓ +Renderer applies patches to tree + ↓ +Component registry maps types → React components +``` + +The key constraint is the **component catalog**. You define available components upfront with Zod schemas: + +```typescript +export const catalog = createCatalog({ + components: { + Card: { + props: z.object({ + title: z.string(), + description: z.string().nullable(), + }), + hasChildren: true, + }, + Button: { + props: z.object({ + label: z.string(), + action: z.string(), + params: z.record(z.string(), z.any()).optional(), + variant: z.enum(["default", "outline", "ghost"]).optional(), + size: z.enum(["default", "sm", "lg"]).optional(), + }), + }, + Text: { + props: z.object({ + content: z.string(), + }), + }, + }, + actions: { + submit: { + params: z.object({ formId: z.string() }), + }, + navigate: { + params: z.object({ url: z.string() }), + }, + }, +}); +``` + +This catalog serves two purposes: +1. Generates the system prompt teaching Claude the JSONL format +2. Validates runtime props via `@json-render/core` + +The system prompt becomes your contract: + +```typescript +const SYSTEM_PROMPT = `You are a UI generator that outputs JSONL (JSON Lines) patches. + +AVAILABLE COMPONENTS: +Card, Button, Text + +COMPONENT DETAILS: +- Card: { title: string, description?: string | null } - Container with title, can have children +- Button: { label: string, action: string, params?: object, variant?: "default" | "outline" | "ghost", size?: "default" | "sm" | "lg" } - Clickable button that triggers an action +- Text: { content: string } - Text paragraph + +OUTPUT FORMAT: +Output JSONL where each line is a patch operation. Use a FLAT key-based structure: + +OPERATIONS: +- {"op":"set","path":"/root","value":"main-card"} - Set the root element key +- {"op":"add","path":"/elements/main-card","value":{...}} - Add an element by unique key + +ELEMENT STRUCTURE: +{ + "key": "unique-key", + "type": "ComponentType", + "props": { ... }, + "children": ["child-key-1", "child-key-2"] // Array of child element keys (only for Card) +} + +RULES: +1. First set /root to the root element's key +2. Add each element with a unique key using /elements/{key} +3. Parent elements list child keys in their "children" array +4. Stream elements progressively - parent first, then children +5. Each element must have: key, type, props +6. Children array contains STRING KEYS, not nested objects +7. Only Card can have children + +Generate JSONL patches now:`; +``` + +Notice the constraints: +- Only 3 components (Card, Button, Text) +- Flat key-based structure (no nesting) +- Only Card supports children +- Children are string keys, not objects +- Specific operations (set, add) + +When you prompt "Create a welcome card with a button," Claude generates: + +```jsonl +{"op":"set","path":"/root","value":"welcome-card"} +{"op":"add","path":"/elements/welcome-card","value":{"key":"welcome-card","type":"Card","props":{"title":"Welcome","description":"Thanks for trying json-render"},"children":["greeting-text","get-started-btn"]}} +{"op":"add","path":"/elements/greeting-text","value":{"key":"greeting-text","type":"Text","props":{"content":"This demo shows how AI can generate predictable UIs using structured output formats."}}} +{"op":"add","path":"/elements/get-started-btn","value":{"key":"get-started-btn","type":"Button","props":{"label":"Get Started","action":"navigate","params":{"url":"/home"},"variant":"default"}}} +``` + +These patches stream to the frontend. The `useUIStream` hook parses them. The `Renderer` component applies them to a tree structure. Finally, the component registry maps types to React implementations: + +```typescript +export const registry: ComponentRegistry = { + Card: ({ element, children }) => ( +
+
+

{element.props.title}

+ {element.props.description && ( +

{element.props.description}

+ )} +
+
{children}
+
+ ), + Button, + Text: ({ element }) =>

{element.props.content}

, +}; +``` + +**Why this matters**: The LLM can't deviate. It knows exactly 3 components. It knows exactly what props they accept. It knows the exact format for patches. Limited choices → predictable outputs. + +**When to use json-render**: +- ✅ You have a predefined component library +- ✅ You need streaming UI generation +- ✅ Visual complexity is limited (simple cards, forms, lists) +- ✅ You want runtime validation of generated output +- ❌ You need full design freedom +- ❌ You're generating complex layouts with deep nesting +- ❌ Your component library changes frequently + +The catalog becomes your design contract. Change it, regenerate the system prompt, done. Predictability through constraints. + +## Technique #2: Feedback Loops (Visual Validation) + +**The problem**: LLMs can reason about code but can't verify visual output without rendering. + +They understand CSS concepts ("flexbox centers items," "z-index controls stacking"). They know layout principles ("hero section at top," "footer at bottom"). But they can't predict actual browser rendering. Edge cases, browser quirks, visual bugs—invisible to the model. + +You may have experienced this: +- Prompt: "Center the login form" +- Code looks correct +- Renders off-center due to parent container constraints +- LLM had no way to know + +**The solution**: Generate → Validate → Iterate. + +Build a feedback loop where the LLM generates code, you (or a tool) validate the rendered output, then feed results back for iteration. The constraint here is forcing validation before considering work "done." + +Two tools enable this: **agent-browser** (natural language) and **Playwright MCP** (screenshots). Different tradeoffs. + +Here's a login form I built for the demo: + +```typescript +// examples/feedback-loop-demo/app/page.tsx +export default function Page() { + return ( +
+
+
+

+ Welcome back +

+

+ Sign in to your account to continue +

+ +
+
+ + +
+ {/* password, checkbox, button... */} +
+
+
+
+ ); +} +``` + +To validate with **agent-browser**: + +```bash +# Navigate and get snapshot +Navigate to http://localhost:3001 and validate the login form layout. +Check if email input, password input, and submit button are all visible +and properly aligned. +``` + +agent-browser returns natural language: + +``` +✓ Page loaded successfully +✓ Login form card visible at center +✓ Email input: visible, properly labeled, placeholder present +✓ Password input: visible, properly labeled, placeholder present +✓ Submit button: visible, blue background, prominent +✓ Visual hierarchy: excellent (title → inputs → button → footer) +✓ Accessibility: labels properly associated with inputs +⚠ Minor: "Forgot password" link small, could be more prominent + +Overall: Form displays correctly with good UX +``` + +This output: +- Validates all key elements +- Identifies improvement opportunity +- Uses ~500 bytes vs ~50KB for screenshots +- Enables 100+ iterations within typical context window + +Compare to **Playwright MCP**: + +```typescript +// Would require: +mcp__playwright__browser_navigate({ url: "http://localhost:3001" }) +mcp__playwright__browser_snapshot({ filename: "login-form.md" }) +mcp__playwright__browser_take_screenshot({ filename: "login-form.png" }) +``` + +Returns full page snapshot (markdown + accessibility tree) plus base64 PNG screenshot. ~50KB+ added to context window per screenshot. + +**Context budget comparison:** + +| Aspect | agent-browser | Playwright MCP | +|--------|---------------|----------------| +| Output format | Natural language | Markdown + base64 images | +| Context impact | Low (~1KB) | High (~50KB+) | +| Use case | Quick visual checks | Deep inspection | +| Iteration speed | Fast (text-based) | Slower (image-heavy) | +| Precision | Semantic validation | Pixel-perfect validation | + +**When to use agent-browser**: +- ✅ Validating layout/positioning +- ✅ Checking element visibility +- ✅ Testing interaction states (hover, focus) +- ✅ Iterating rapidly on visual design +- ✅ Context window preservation matters (agentic workflows) + +**When to use Playwright MCP**: +- ✅ Pixel-perfect comparison needed +- ✅ Screenshot documentation required +- ✅ Complex multi-step flows +- ✅ Full browser automation needed +- ✅ Visual regression testing + +The feedback loop workflow: + +1. Generate UI code +2. Render in browser (localhost) +3. Validate with agent-browser or Playwright +4. Read feedback (natural language or screenshot) +5. Identify issues +6. Fix code +7. Re-validate +8. Repeat until validation passes + +For agentic workflows where Claude is autonomously iterating on designs, agent-browser preserves context budget for actual code changes instead of bloating it with images. + +## Technique #3: Figma MCP (Design System as Contract) + +**The problem**: Traditional design handoff loses fidelity. + +Designer creates mockups → Dev interprets visuals → Implementation drifts from design. Colors slightly off. Spacing inconsistent. Typography mismatched. The gap between "what designer intended" and "what developer built" is where quality dies. + +**The solution**: Extract design truth directly from Figma, use it as contract. + +Figma MCP (Model Context Protocol) lets Claude read Figma files programmatically. Extract components, design tokens, variants—everything. Generate code that matches design exactly. No interpretation gap. + +Here's the workflow: + +``` +Figma Design System + ↓ +get_design_context (extract component structure) +get_variable_defs (extract design tokens) + ↓ +Component Code + Design Tokens + ↓ +React components with Base UI + Tailwind + ↓ +Storybook stories (one per variant) +``` + +**Step 1: Extract design tokens** + +```typescript +// Use Figma MCP +mcp__figma__get_variable_defs(fileKey, nodeId) + +// Generates tokens.ts: +export const tokens = { + color: { + text: { + brandOnBrand: "#f5f5f5", + default: "#1e1e1e", + subtle: "#666666", + }, + background: { + brandDefault: "#1e1e1e", + brandHover: "#2d2d2d", + neutral: "#e5e5e5", + neutralHover: "#d4d4d4", + subtle: "transparent", + subtleHover: "#f5f5f5", + }, + border: { + neutral: "#d4d4d4", + subtle: "#e5e5e5", + }, + }, + typography: { + body: { + fontFamily: "Inter, sans-serif", + fontWeightRegular: 400, + sizeMedium: "16px", + sizeSmall: "14px", + }, + }, + spacing: { + xs: "4px", + sm: "8px", + md: "12px", + lg: "16px", + }, + borderRadius: { + sm: "4px", + md: "6px", + }, +} as const; +``` + +These become your single source of truth. Change Figma variable, re-extract, update tokens.ts. Design stays in sync with code. + +**Step 2: Extract component structure** + +```typescript +// Extract Button component +mcp__figma__get_design_context(fileKey, buttonNodeId) + +// Returns React component code with Tailwind +``` + +For a Button component with 18 variants (3 visual styles × 3 states × 2 sizes), Figma MCP extracts all of them. You map to accessible primitives: + +```typescript +// examples/design-system-demo/src/components/button.tsx +import { Button as BaseButton } from "@base-ui/react/button"; +import { cva, type VariantProps } from "class-variance-authority"; + +const buttonVariants = cva( + "inline-flex items-center justify-center gap-2 border font-body font-normal leading-none rounded-md transition-colors", + { + variants: { + variant: { + primary: "bg-bg-brand text-brand-on-brand", + neutral: "bg-bg-neutral text-default", + subtle: "bg-transparent text-default border-transparent", + }, + size: { + small: "h-8 p-sm text-sm", + medium: "h-10 p-md text-base", + }, + disabled: { + false: null, + true: "bg-bg-disabled text-disabled cursor-not-allowed border-border-disabled", + }, + }, + compoundVariants: [ + { + variant: "primary", + disabled: false, + className: "border-border-primary hover:bg-bg-brand-hover", + }, + { + variant: "neutral", + disabled: false, + className: "border-border-neutral hover:bg-bg-neutral-hover", + }, + { + variant: "subtle", + disabled: false, + className: "hover:border-border-subtle", + }, + ], + defaultVariants: { + variant: "primary", + size: "medium", + disabled: false, + }, + }, +); + +export function Button({ className, variant, size, children, disabled, ...props }: ButtonProps) { + return ( + + {children} + + ); +} +``` + +**Step 3: Generate Storybook stories** + +For each Figma variant, generate a Storybook story: + +```typescript +// examples/design-system-demo/src/components/button.stories.tsx +export const PrimaryDefaultMedium: Story = { + args: { + variant: "primary", + size: "medium", + children: "Button", + }, +}; + +export const PrimaryHoverMedium: Story = { + args: { + variant: "primary", + size: "medium", + children: "Button", + }, + parameters: { + pseudo: { hover: true }, + }, +}; + +export const PrimaryDisabledMedium: Story = { + args: { + variant: "primary", + size: "medium", + children: "Button", + disabled: true, + }, +}; + +// ...15 more variants +``` + +Storybook becomes living documentation that matches Figma exactly. Designers and developers reference the same truth. + +**Key benefits**: +- Design tokens as single source of truth +- Automated variant generation (no manual mapping) +- Living documentation via Storybook +- No interpretation gap between design and code +- Visual validation via `get_screenshot` (compare Figma to rendered) + +**When to use Figma MCP**: +- ✅ Established design system exists in Figma +- ✅ Building component library +- ✅ Design-dev collaboration critical +- ✅ Need living documentation (Storybook) +- ✅ Want design as code workflow +- ❌ No design system (yet) +- ❌ Designs change too frequently (extraction overhead) +- ❌ Rate limits matter (Figma MCP has usage caps) + +The constraint here is the design system itself. Figma becomes the contract. Code generation follows Figma truth. Predictability through design authority. + +## Choosing the Right Tool + +These three techniques aren't mutually exclusive—they complement each other: + +**json-render**: When you know component structure upfront +- Predefined UI patterns (dashboards, forms, cards) +- Streaming generation from prompts +- Limited visual complexity +- Runtime validation needed + +**agent-browser**: When you need visual validation without bloating context +- Layout/positioning checks +- Quick iteration cycles +- Agentic workflows (context budget critical) +- Semantic validation sufficient + +**Figma MCP**: When design is the source of truth +- Design system extraction +- Component library generation +- Design-dev handoff automation +- Living documentation + +**Context budget matters**: For agentic workflows where Claude autonomously iterates, choose tools that preserve context: +- agent-browser (~1KB) over Playwright screenshots (~50KB) +- json-render patches (~2KB) over full component code (~20KB) +- Figma token extraction (~5KB) over full design files (~100KB+) + +More context = fewer iterations before hitting limits. Choose wisely. + +## Key Takeaways + +Same prompt, different outputs—that's LLMs. But constraints enable predictability. + +**Structured output (json-render)**: Limit component choices. Teach exact format. Get consistent results. AI → JSON → UI. + +**Feedback loops (agent-browser)**: LLMs can't predict visual output. Build validation into workflow. Generate → Validate → Iterate. Context budget matters. + +**Design contracts (Figma MCP)**: Design system as source of truth. Extract tokens, components, variants. Generate code that matches exactly. No interpretation gap. + +These aren't silver bullets. json-render's limited component set won't work for complex designs. agent-browser's semantic validation can't catch pixel-level issues. Figma MCP has rate limits and extraction overhead. + +But they all share one insight: **guardrails are your best friend with LLMs**. Constrain the problem space. Make choices finite. Build contracts the model can't violate. + +Predictability through constraints. Not despite them. + +--- + +All code from this post available at [ubmit/from-prompts-to-predictable-user-interfaces](https://github.com/ubmit/from-prompts-to-predictable-user-interfaces). Slides, demos, full examples. From 9739f0f0eeb27939b1583a1f6feef0ffed493981 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Sun, 25 Jan 2026 10:18:35 +0000 Subject: [PATCH 03/18] feat: add mermaid diagram support - install mermaid lib - create MermaidInit component - add to BlogPost & Talk layouts - add prose styles for diagrams - convert text diagrams to mermaid in prompts talk Co-Authored-By: Claude Sonnet 4.5 --- package.json | 1 + pnpm-lock.yaml | 893 ++++++++++++++++++ src/components/MermaidInit.astro | 17 + ...-prompts-to-predictable-user-interfaces.md | 38 +- src/layouts/BlogPost.astro | 2 + src/layouts/Talk.astro | 2 + src/styles/base.css | 12 + 7 files changed, 942 insertions(+), 23 deletions(-) create mode 100644 src/components/MermaidInit.astro diff --git a/package.json b/package.json index 8fa0002..46f6c14 100644 --- a/package.json +++ b/package.json @@ -26,6 +26,7 @@ "astro": "^5.16.14", "chart.js": "^4.5.1", "clsx": "^2.1.0", + "mermaid": "^11.12.2", "tailwind-merge": "^3.4.0", "typescript": 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2.0.3 + + d3-axis@3.0.0: {} + + d3-brush@3.0.0: + dependencies: + d3-dispatch: 3.0.1 + d3-drag: 3.0.0 + d3-interpolate: 3.0.1 + d3-selection: 3.0.0 + d3-transition: 3.0.1(d3-selection@3.0.0) + + d3-chord@3.0.1: + dependencies: + d3-path: 3.1.0 + + d3-color@3.1.0: {} + + d3-contour@4.0.2: + dependencies: + d3-array: 3.2.4 + + d3-delaunay@6.0.4: + dependencies: + delaunator: 5.0.1 + + d3-dispatch@3.0.1: {} + + d3-drag@3.0.0: + dependencies: + d3-dispatch: 3.0.1 + d3-selection: 3.0.0 + + d3-dsv@3.0.1: + dependencies: + commander: 7.2.0 + iconv-lite: 0.6.3 + rw: 1.3.3 + + d3-ease@3.0.1: {} + + d3-fetch@3.0.1: + dependencies: + d3-dsv: 3.0.1 + + d3-force@3.0.0: + dependencies: + d3-dispatch: 3.0.1 + d3-quadtree: 3.0.1 + d3-timer: 3.0.1 + + d3-format@3.1.2: {} + + d3-geo@3.1.1: + dependencies: + d3-array: 3.2.4 + + d3-hierarchy@3.1.2: {} + + d3-interpolate@3.0.1: + dependencies: + d3-color: 3.1.0 + + d3-path@1.0.9: {} + + d3-path@3.1.0: {} + + d3-polygon@3.0.1: {} + + d3-quadtree@3.0.1: {} + + d3-random@3.0.1: {} + + d3-sankey@0.12.3: + dependencies: + d3-array: 2.12.1 + d3-shape: 1.3.7 + + d3-scale-chromatic@3.1.0: + dependencies: + d3-color: 3.1.0 + d3-interpolate: 3.0.1 + + d3-scale@4.0.2: + dependencies: + d3-array: 3.2.4 + d3-format: 3.1.2 + d3-interpolate: 3.0.1 + d3-time: 3.1.0 + d3-time-format: 4.1.0 + + d3-selection@3.0.0: {} + + d3-shape@1.3.7: + dependencies: + d3-path: 1.0.9 + + d3-shape@3.2.0: + dependencies: + d3-path: 3.1.0 + + d3-time-format@4.1.0: + dependencies: + d3-time: 3.1.0 + + d3-time@3.1.0: + dependencies: + d3-array: 3.2.4 + + d3-timer@3.0.1: {} + + d3-transition@3.0.1(d3-selection@3.0.0): + dependencies: + d3-color: 3.1.0 + d3-dispatch: 3.0.1 + d3-ease: 3.0.1 + d3-interpolate: 3.0.1 + d3-selection: 3.0.0 + d3-timer: 3.0.1 + + d3-zoom@3.0.0: + dependencies: + d3-dispatch: 3.0.1 + d3-drag: 3.0.0 + d3-interpolate: 3.0.1 + d3-selection: 3.0.0 + d3-transition: 3.0.1(d3-selection@3.0.0) + + d3@7.9.0: + dependencies: + d3-array: 3.2.4 + d3-axis: 3.0.0 + d3-brush: 3.0.0 + d3-chord: 3.0.1 + d3-color: 3.1.0 + d3-contour: 4.0.2 + d3-delaunay: 6.0.4 + d3-dispatch: 3.0.1 + d3-drag: 3.0.0 + d3-dsv: 3.0.1 + d3-ease: 3.0.1 + d3-fetch: 3.0.1 + d3-force: 3.0.0 + d3-format: 3.1.2 + d3-geo: 3.1.1 + d3-hierarchy: 3.1.2 + d3-interpolate: 3.0.1 + d3-path: 3.1.0 + d3-polygon: 3.0.1 + d3-quadtree: 3.0.1 + d3-random: 3.0.1 + d3-scale: 4.0.2 + d3-scale-chromatic: 3.1.0 + d3-selection: 3.0.0 + d3-shape: 3.2.0 + d3-time: 3.1.0 + d3-time-format: 4.1.0 + d3-timer: 3.0.1 + d3-transition: 3.0.1(d3-selection@3.0.0) + d3-zoom: 3.0.0 + + dagre-d3-es@7.0.13: + dependencies: + d3: 7.9.0 + lodash-es: 4.17.23 + + dayjs@1.11.19: {} + debug@4.4.3: dependencies: ms: 2.1.3 @@ -3461,6 +4244,10 @@ snapshots: defu@6.1.4: {} + delaunator@5.0.1: + dependencies: + robust-predicates: 3.0.2 + dequal@2.0.3: {} destr@2.0.5: {} @@ -3493,6 +4280,10 @@ snapshots: dependencies: domelementtype: 2.3.0 + dompurify@3.3.1: + optionalDependencies: + '@types/trusted-types': 2.0.7 + domutils@3.2.2: dependencies: dom-serializer: 2.0.0 @@ -3675,6 +4466,8 @@ snapshots: ufo: 1.6.3 uncrypto: 0.1.3 + hachure-fill@0.5.2: {} + hast-util-from-html@2.0.3: dependencies: '@types/hast': 3.0.4 @@ -3809,10 +4602,18 @@ snapshots: http-cache-semantics@4.2.0: {} + iconv-lite@0.6.3: + dependencies: + safer-buffer: 2.1.2 + import-meta-resolve@4.2.0: {} inline-style-parser@0.2.7: {} + internmap@1.0.1: {} + + internmap@2.0.3: {} + iron-webcrypto@1.2.1: {} is-alphabetical@2.0.1: {} @@ -3860,10 +4661,28 @@ snapshots: jsonc-parser@3.3.1: {} + katex@0.16.27: + dependencies: + commander: 8.3.0 + + khroma@2.1.0: {} + kleur@3.0.3: {} kleur@4.1.5: {} + langium@3.3.1: + dependencies: + chevrotain: 11.0.3 + chevrotain-allstar: 0.3.1(chevrotain@11.0.3) + vscode-languageserver: 9.0.1 + vscode-languageserver-textdocument: 1.0.12 + vscode-uri: 3.0.8 + + layout-base@1.0.2: {} + + layout-base@2.0.1: {} + lightningcss-android-arm64@1.30.2: optional: true @@ -3913,6 +4732,10 @@ snapshots: lightningcss-win32-arm64-msvc: 1.30.2 lightningcss-win32-x64-msvc: 1.30.2 + lodash-es@4.17.21: {} + + lodash-es@4.17.23: {} + lodash@4.17.21: {} longest-streak@3.1.0: {} @@ -3933,6 +4756,8 @@ snapshots: markdown-table@3.0.4: {} + marked@16.4.2: {} + mdast-util-definitions@6.0.0: dependencies: '@types/mdast': 4.0.4 @@ -4108,6 +4933,29 @@ snapshots: merge2@1.4.1: {} + mermaid@11.12.2: + dependencies: + '@braintree/sanitize-url': 7.1.1 + '@iconify/utils': 3.1.0 + '@mermaid-js/parser': 0.6.3 + '@types/d3': 7.4.3 + cytoscape: 3.33.1 + cytoscape-cose-bilkent: 4.1.0(cytoscape@3.33.1) + cytoscape-fcose: 2.2.0(cytoscape@3.33.1) + d3: 7.9.0 + d3-sankey: 0.12.3 + dagre-d3-es: 7.0.13 + dayjs: 1.11.19 + dompurify: 3.3.1 + katex: 0.16.27 + khroma: 2.1.0 + lodash-es: 4.17.23 + marked: 16.4.2 + roughjs: 4.6.6 + stylis: 4.3.6 + ts-dedent: 2.2.0 + uuid: 11.1.0 + micromark-core-commonmark@2.0.3: dependencies: decode-named-character-reference: 1.3.0 @@ -4377,6 +5225,13 @@ snapshots: braces: 3.0.3 picomatch: 2.3.1 + mlly@1.8.0: + dependencies: + acorn: 8.15.0 + pathe: 2.0.3 + pkg-types: 1.3.1 + ufo: 1.6.3 + mrmime@2.0.1: {} ms@2.1.3: {} @@ -4455,6 +5310,10 @@ snapshots: path-browserify@1.0.1: {} + path-data-parser@0.1.0: {} + + pathe@2.0.3: {} + piccolore@0.1.3: {} picocolors@1.1.1: {} @@ -4463,6 +5322,12 @@ snapshots: picomatch@4.0.3: {} + pkg-types@1.3.1: + dependencies: + confbox: 0.1.8 + mlly: 1.8.0 + pathe: 2.0.3 + playwright-core@1.57.0: {} playwright@1.57.0: @@ -4471,6 +5336,13 @@ snapshots: optionalDependencies: fsevents: 2.3.2 + points-on-curve@0.2.0: {} + + points-on-path@0.2.1: + dependencies: + path-data-parser: 0.1.0 + points-on-curve: 0.2.0 + postcss-selector-parser@6.0.10: dependencies: cssesc: 3.0.0 @@ -4668,6 +5540,8 @@ snapshots: reusify@1.1.0: {} + robust-predicates@3.0.2: {} + rollup@4.56.0: dependencies: '@types/estree': 1.0.8 @@ -4699,12 +5573,23 @@ snapshots: '@rollup/rollup-win32-x64-msvc': 4.56.0 fsevents: 2.3.3 + roughjs@4.6.6: + dependencies: + hachure-fill: 0.5.2 + path-data-parser: 0.1.0 + points-on-curve: 0.2.0 + points-on-path: 0.2.1 + run-parallel@1.2.0: dependencies: queue-microtask: 1.2.3 + rw@1.3.3: {} + s.color@0.0.15: {} + safer-buffer@2.1.2: {} + sass-formatter@0.7.9: dependencies: suf-log: 2.5.3 @@ -4810,6 +5695,8 @@ snapshots: dependencies: inline-style-parser: 0.2.7 + stylis@4.3.6: {} + suf-log@2.5.3: dependencies: s.color: 0.0.15 @@ -4847,6 +5734,8 @@ snapshots: trough@2.2.0: {} + ts-dedent@2.2.0: {} + tsconfck@3.1.6(typescript@5.9.3): optionalDependencies: typescript: 5.9.3 @@ -4954,6 +5843,8 @@ snapshots: util-deprecate@1.0.2: {} + uuid@11.1.0: {} + vfile-location@5.0.3: dependencies: '@types/unist': 3.0.3 @@ -5083,6 +5974,8 @@ snapshots: vscode-nls@5.2.0: {} + vscode-uri@3.0.8: {} + vscode-uri@3.1.0: {} web-namespaces@2.0.1: {} diff --git a/src/components/MermaidInit.astro b/src/components/MermaidInit.astro new file mode 100644 index 0000000..324ff37 --- /dev/null +++ b/src/components/MermaidInit.astro @@ -0,0 +1,17 @@ +--- +// Component to initialize mermaid diagrams +--- + + diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index f95b0a7..a3aa7d9 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -34,18 +34,13 @@ json-render is a library that implements this pattern: AI → JSONL → UI. Inst Here's the architecture: -``` -User prompt - ↓ -Claude API (with system prompt teaching JSONL format) - ↓ -JSONL patches streamed ({"op":"set","path":"/root","value":"card-key"}) - ↓ -useUIStream hook parses patches - ↓ -Renderer applies patches to tree - ↓ -Component registry maps types → React components +```mermaid +graph TD + A[User prompt] --> B[Claude API with system prompt teaching JSONL format] + B --> C[JSONL patches streamed] + C --> D[useUIStream hook parses patches] + D --> E[Renderer applies patches to tree] + E --> F[Component registry maps types → React components] ``` The key constraint is the **component catalog**. You define available components upfront with Zod schemas: @@ -324,17 +319,14 @@ Figma MCP (Model Context Protocol) lets Claude read Figma files programmatically Here's the workflow: -``` -Figma Design System - ↓ -get_design_context (extract component structure) -get_variable_defs (extract design tokens) - ↓ -Component Code + Design Tokens - ↓ -React components with Base UI + Tailwind - ↓ -Storybook stories (one per variant) +```mermaid +graph TD + A[Figma Design System] --> B[get_design_context extract component structure] + A --> C[get_variable_defs extract design tokens] + B --> D[Component Code + Design Tokens] + C --> D + D --> E[React components with Base UI + Tailwind] + E --> F[Storybook stories one per variant] ``` **Step 1: Extract design tokens** diff --git a/src/layouts/BlogPost.astro b/src/layouts/BlogPost.astro index a1a52d1..eeac4c5 100644 --- a/src/layouts/BlogPost.astro +++ b/src/layouts/BlogPost.astro @@ -3,6 +3,7 @@ import type { CollectionEntry } from "astro:content"; import BaseHead from "../components/BaseHead.astro"; import FormattedDate from "../components/FormattedDate.astro"; import BaseLayout from "../layouts/BaseLayout.astro"; +import MermaidInit from "../components/MermaidInit.astro"; type Props = CollectionEntry<"blog">["data"]; @@ -29,5 +30,6 @@ const { title, description, pubDate, updatedDate } = Astro.props; + diff --git a/src/layouts/Talk.astro b/src/layouts/Talk.astro index af11c1a..1938c8a 100644 --- a/src/layouts/Talk.astro +++ b/src/layouts/Talk.astro @@ -3,6 +3,7 @@ import type { CollectionEntry } from "astro:content"; import BaseHead from "../components/BaseHead.astro"; import FormattedDate from "../components/FormattedDate.astro"; import BaseLayout from "../layouts/BaseLayout.astro"; +import MermaidInit from "../components/MermaidInit.astro"; type Props = CollectionEntry<"talks">["data"]; @@ -61,5 +62,6 @@ const { title, description, pubDate, updatedDate, event, slides, recording } = + diff --git a/src/styles/base.css b/src/styles/base.css index 164709f..63e17f6 100644 --- a/src/styles/base.css +++ b/src/styles/base.css @@ -64,6 +64,18 @@ font-size: var(--text-sm); font-weight: var(--font-weight-light); } + + .prose .mermaid { + margin: var(--spacing-6) 0; + display: flex; + justify-content: center; + } + + .prose pre.mermaid { + background: transparent; + border: none; + padding: 0; + } } @utility scrollbar-hide { From 3ccb9e9b8db43ea96765c651150ab7b14e5b9a37 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Sun, 25 Jan 2026 11:24:51 +0000 Subject: [PATCH 04/18] chore: run format script --- ...-prompts-to-predictable-user-interfaces.md | 37 +++++++++++++------ src/layouts/Talk.astro | 6 +-- src/pages/index.astro | 7 +++- 3 files changed, 32 insertions(+), 18 deletions(-) diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index a3aa7d9..0414197 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -82,6 +82,7 @@ export const catalog = createCatalog({ ``` This catalog serves two purposes: + 1. Generates the system prompt teaching Claude the JSONL format 2. Validates runtime props via `@json-render/core` @@ -126,6 +127,7 @@ Generate JSONL patches now:`; ``` Notice the constraints: + - Only 3 components (Card, Button, Text) - Flat key-based structure (no nesting) - Only Card supports children @@ -164,6 +166,7 @@ export const registry: ComponentRegistry = { **Why this matters**: The LLM can't deviate. It knows exactly 3 components. It knows exactly what props they accept. It knows the exact format for patches. Limited choices → predictable outputs. **When to use json-render**: + - ✅ You have a predefined component library - ✅ You need streaming UI generation - ✅ Visual complexity is limited (simple cards, forms, lists) @@ -181,6 +184,7 @@ The catalog becomes your design contract. Change it, regenerate the system promp They understand CSS concepts ("flexbox centers items," "z-index controls stacking"). They know layout principles ("hero section at top," "footer at bottom"). But they can't predict actual browser rendering. Edge cases, browser quirks, visual bugs—invisible to the model. You may have experienced this: + - Prompt: "Center the login form" - Code looks correct - Renders off-center due to parent container constraints @@ -254,6 +258,7 @@ Overall: Form displays correctly with good UX ``` This output: + - Validates all key elements - Identifies improvement opportunity - Uses ~500 bytes vs ~50KB for screenshots @@ -263,24 +268,25 @@ Compare to **Playwright MCP**: ```typescript // Would require: -mcp__playwright__browser_navigate({ url: "http://localhost:3001" }) -mcp__playwright__browser_snapshot({ filename: "login-form.md" }) -mcp__playwright__browser_take_screenshot({ filename: "login-form.png" }) +mcp__playwright__browser_navigate({ url: "http://localhost:3001" }); +mcp__playwright__browser_snapshot({ filename: "login-form.md" }); +mcp__playwright__browser_take_screenshot({ filename: "login-form.png" }); ``` Returns full page snapshot (markdown + accessibility tree) plus base64 PNG screenshot. ~50KB+ added to context window per screenshot. **Context budget comparison:** -| Aspect | agent-browser | Playwright MCP | -|--------|---------------|----------------| -| Output format | Natural language | Markdown + base64 images | -| Context impact | Low (~1KB) | High (~50KB+) | -| Use case | Quick visual checks | Deep inspection | -| Iteration speed | Fast (text-based) | Slower (image-heavy) | -| Precision | Semantic validation | Pixel-perfect validation | +| Aspect | agent-browser | Playwright MCP | +| --------------- | ------------------- | ------------------------ | +| Output format | Natural language | Markdown + base64 images | +| Context impact | Low (~1KB) | High (~50KB+) | +| Use case | Quick visual checks | Deep inspection | +| Iteration speed | Fast (text-based) | Slower (image-heavy) | +| Precision | Semantic validation | Pixel-perfect validation | **When to use agent-browser**: + - ✅ Validating layout/positioning - ✅ Checking element visibility - ✅ Testing interaction states (hover, focus) @@ -288,6 +294,7 @@ Returns full page snapshot (markdown + accessibility tree) plus base64 PNG scree - ✅ Context window preservation matters (agentic workflows) **When to use Playwright MCP**: + - ✅ Pixel-perfect comparison needed - ✅ Screenshot documentation required - ✅ Complex multi-step flows @@ -333,7 +340,7 @@ graph TD ```typescript // Use Figma MCP -mcp__figma__get_variable_defs(fileKey, nodeId) +mcp__figma__get_variable_defs(fileKey, nodeId); // Generates tokens.ts: export const tokens = { @@ -383,7 +390,7 @@ These become your single source of truth. Change Figma variable, re-extract, upd ```typescript // Extract Button component -mcp__figma__get_design_context(fileKey, buttonNodeId) +mcp__figma__get_design_context(fileKey, buttonNodeId); // Returns React component code with Tailwind ``` @@ -491,6 +498,7 @@ export const PrimaryDisabledMedium: Story = { Storybook becomes living documentation that matches Figma exactly. Designers and developers reference the same truth. **Key benefits**: + - Design tokens as single source of truth - Automated variant generation (no manual mapping) - Living documentation via Storybook @@ -498,6 +506,7 @@ Storybook becomes living documentation that matches Figma exactly. Designers and - Visual validation via `get_screenshot` (compare Figma to rendered) **When to use Figma MCP**: + - ✅ Established design system exists in Figma - ✅ Building component library - ✅ Design-dev collaboration critical @@ -514,24 +523,28 @@ The constraint here is the design system itself. Figma becomes the contract. Cod These three techniques aren't mutually exclusive—they complement each other: **json-render**: When you know component structure upfront + - Predefined UI patterns (dashboards, forms, cards) - Streaming generation from prompts - Limited visual complexity - Runtime validation needed **agent-browser**: When you need visual validation without bloating context + - Layout/positioning checks - Quick iteration cycles - Agentic workflows (context budget critical) - Semantic validation sufficient **Figma MCP**: When design is the source of truth + - Design system extraction - Component library generation - Design-dev handoff automation - Living documentation **Context budget matters**: For agentic workflows where Claude autonomously iterates, choose tools that preserve context: + - agent-browser (~1KB) over Playwright screenshots (~50KB) - json-render patches (~2KB) over full component code (~20KB) - Figma token extraction (~5KB) over full design files (~100KB+) diff --git a/src/layouts/Talk.astro b/src/layouts/Talk.astro index 1938c8a..2567862 100644 --- a/src/layouts/Talk.astro +++ b/src/layouts/Talk.astro @@ -21,11 +21,7 @@ const { title, description, pubDate, updatedDate, event, slides, recording } =

{title}

- { - event && ( -
Event: {event}
- ) - } + {event &&
Event: {event}
} { (slides || recording) && (
diff --git a/src/pages/index.astro b/src/pages/index.astro index 768b58a..4b948c1 100644 --- a/src/pages/index.astro +++ b/src/pages/index.astro @@ -1,6 +1,11 @@ --- import BaseHead from "../components/BaseHead.astro"; -import { SITE_TITLE, SITE_DESCRIPTION, postsSortedByPubDate, talksSortedByPubDate } from "../consts"; +import { + SITE_TITLE, + SITE_DESCRIPTION, + postsSortedByPubDate, + talksSortedByPubDate, +} from "../consts"; import BaseLayout from "../layouts/BaseLayout.astro"; import SectionHeading from "../components/SectionHeading.astro"; import PostCard from "../components/PostCard.astro"; From fb1ce849a6e3c46bd3000ee3a35bd8a4e356366b Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Sun, 25 Jan 2026 11:30:16 +0000 Subject: [PATCH 05/18] fix: code bold, emojis, mermaid rendering - remove bold from code snippets in prose - replace emojis with text symbols (+ - * !) - use rehype-mermaid for proper diagram rendering - remove client-side mermaid init (build-time rendering) Co-Authored-By: Claude Sonnet 4.5 --- astro.config.mjs | 2 + package.json | 2 +- pnpm-lock.yaml | 74 ++++++++++++++++++- src/components/MermaidInit.astro | 17 ----- ...-prompts-to-predictable-user-interfaces.md | 66 ++++++++--------- src/layouts/BlogPost.astro | 2 - src/layouts/Talk.astro | 2 - src/styles/base.css | 1 - 8 files changed, 107 insertions(+), 59 deletions(-) delete mode 100644 src/components/MermaidInit.astro diff --git a/astro.config.mjs b/astro.config.mjs index 0a93461..9469cc4 100644 --- a/astro.config.mjs +++ b/astro.config.mjs @@ -1,6 +1,7 @@ import { defineConfig } from "astro/config"; import mdx from "@astrojs/mdx"; import tailwindcss from "@tailwindcss/vite"; +import rehypeMermaid from "rehype-mermaid"; import sitemap from "@astrojs/sitemap"; @@ -14,6 +15,7 @@ export default defineConfig({ dark: "catppuccin-mocha", }, }, + rehypePlugins: [[rehypeMermaid, { strategy: "inline-svg", dark: true }]], }, vite: { plugins: [tailwindcss()], diff --git a/package.json b/package.json index 46f6c14..3b3fe71 100644 --- a/package.json +++ b/package.json @@ -26,7 +26,7 @@ "astro": "^5.16.14", "chart.js": "^4.5.1", "clsx": "^2.1.0", - "mermaid": "^11.12.2", + "rehype-mermaid": "^3.0.0", "tailwind-merge": "^3.4.0", "typescript": "^5.9.3" }, diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 016f811..36e94b9 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -35,9 +35,9 @@ importers: clsx: specifier: ^2.1.0 version: 2.1.1 - mermaid: - specifier: ^11.12.2 - version: 11.12.2 + rehype-mermaid: + specifier: ^3.0.0 + version: 3.0.0(playwright@1.57.0) tailwind-merge: specifier: ^3.4.0 version: 3.4.0 @@ -347,6 +347,10 @@ packages: '@fontsource/work-sans@5.2.8': resolution: {integrity: sha512-6LaHjVVgts+rnrcqvEkP2+iUB/jw1oDSYsGO0+TltAhnWki9Hnf/UGpgMQh2jcm0GEH8VqCPnq4PpmHLFzxXtQ==} + '@fortawesome/fontawesome-free@6.7.2': + resolution: {integrity: sha512-JUOtgFW6k9u4Y+xeIaEiLr3+cjoUPiAuLXoyKOJSia6Duzb7pq+A76P9ZdPDoAoxHdHzq6gE9/jKBGXlZT8FbA==} + engines: {node: '>=6'} + '@iconify/types@2.0.0': resolution: {integrity: sha512-+wluvCrRhXrhyOmRDJ3q8mux9JkKy5SJ/v8ol2tu4FVjyYvtEzkc/3pK15ET6RKg4b4w4BmTk1+gsCUhf21Ykg==} @@ -1615,6 +1619,12 @@ packages: hachure-fill@0.5.2: resolution: {integrity: sha512-3GKBOn+m2LX9iq+JC1064cSFprJY4jL1jCXTcpnfER5HYE2l/4EfWSGzkPa/ZDBmYI0ZOEj5VHV/eKnPGkHuOg==} + hast-util-from-dom@5.0.1: + resolution: {integrity: sha512-N+LqofjR2zuzTjCPzyDUdSshy4Ma6li7p/c3pA78uTwzFgENbgbUrm2ugwsOdcjI1muO+o6Dgzp9p8WHtn/39Q==} + + hast-util-from-html-isomorphic@2.0.0: + resolution: {integrity: sha512-zJfpXq44yff2hmE0XmwEOzdWin5xwH+QIhMLOScpX91e/NSGPsAzNCvLQDIEPyO2TXi+lBmU6hjLIhV8MwP2kw==} + hast-util-from-html@2.0.3: resolution: {integrity: sha512-CUSRHXyKjzHov8yKsQjGOElXy/3EKpyX56ELnkHH34vDVw1N1XSQ1ZcAvTyAPtGqLTuKP/uxM+aLkSPqF/EtMw==} @@ -1933,6 +1943,14 @@ packages: resolution: {integrity: sha512-8q7VEgMJW4J8tcfVPy8g09NcQwZdbwFEqhe/WZkoIzjn/3TGDwtOCYtXGxA3O8tPzpczCCDgv+P2P5y00ZJOOg==} engines: {node: '>= 8'} + mermaid-isomorphic@3.0.4: + resolution: {integrity: sha512-XQTy7H1XwHK3DPEHf+ZNWiqUEd9BwX3Xws38R9Fj2gx718srmgjlZoUzHr+Tca+O+dqJOJsAJaKzCoP65QDfDg==} + peerDependencies: + playwright: '1' + peerDependenciesMeta: + playwright: + optional: true + mermaid@11.12.2: resolution: {integrity: sha512-n34QPDPEKmaeCG4WDMGy0OT6PSyxKCfy2pJgShP+Qow2KLrvWjclwbc3yXfSIf4BanqWEhQEpngWwNp/XhZt6w==} @@ -2045,6 +2063,10 @@ packages: resolution: {integrity: sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA==} engines: {node: '>=8.6'} + mini-svg-data-uri@1.4.4: + resolution: {integrity: sha512-r9deDe9p5FJUPZAk3A59wGH7Ii9YrjjWw0jmw/liSbHl2CHiyXj6FcDXDu2K3TjVAXqiJdaw3xxwlZZr9E6nHg==} + hasBin: true + mlly@1.8.0: resolution: {integrity: sha512-l8D9ODSRWLe2KHJSifWGwBqpTZXIXTeo8mlKjY+E2HAakaTeNpqAyBZ8GSqLzHgw4XmHmC8whvpjJNMbFZN7/g==} @@ -2281,6 +2303,14 @@ packages: regex@6.1.0: resolution: {integrity: sha512-6VwtthbV4o/7+OaAF9I5L5V3llLEsoPyq9P1JVXkedTP33c7MfCG0/5NOPcSJn0TzXcG9YUrR0gQSWioew3LDg==} + rehype-mermaid@3.0.0: + resolution: {integrity: sha512-fxrD5E4Fa1WXUjmjNDvLOMT4XB1WaxcfycFIWiYU0yEMQhcTDElc9aDFnbDFRLxG1Cfo1I3mfD5kg4sjlWaB+Q==} + peerDependencies: + playwright: '1' + peerDependenciesMeta: + playwright: + optional: true + rehype-parse@9.0.1: resolution: {integrity: sha512-ksCzCD0Fgfh7trPDxr2rSylbwq9iYDkSn8TCDmEJ49ljEUBxDVCzCHv7QNzZOfODanX4+bWQ4WZqLCRWYLfhag==} @@ -3132,6 +3162,8 @@ snapshots: '@fontsource/work-sans@5.2.8': {} + '@fortawesome/fontawesome-free@6.7.2': {} + '@iconify/types@2.0.0': {} '@iconify/utils@3.1.0': @@ -4468,6 +4500,19 @@ snapshots: hachure-fill@0.5.2: {} + hast-util-from-dom@5.0.1: + dependencies: + '@types/hast': 3.0.4 + hastscript: 9.0.1 + web-namespaces: 2.0.1 + + hast-util-from-html-isomorphic@2.0.0: + dependencies: + '@types/hast': 3.0.4 + hast-util-from-dom: 5.0.1 + hast-util-from-html: 2.0.3 + unist-util-remove-position: 5.0.0 + hast-util-from-html@2.0.3: dependencies: '@types/hast': 3.0.4 @@ -4933,6 +4978,13 @@ snapshots: merge2@1.4.1: {} + mermaid-isomorphic@3.0.4(playwright@1.57.0): + dependencies: + '@fortawesome/fontawesome-free': 6.7.2 + mermaid: 11.12.2 + optionalDependencies: + playwright: 1.57.0 + mermaid@11.12.2: dependencies: '@braintree/sanitize-url': 7.1.1 @@ -5225,6 +5277,8 @@ snapshots: braces: 3.0.3 picomatch: 2.3.1 + mini-svg-data-uri@1.4.4: {} + mlly@1.8.0: dependencies: acorn: 8.15.0 @@ -5424,6 +5478,20 @@ snapshots: dependencies: regex-utilities: 2.3.0 + rehype-mermaid@3.0.0(playwright@1.57.0): + dependencies: + '@types/hast': 3.0.4 + hast-util-from-html-isomorphic: 2.0.0 + hast-util-to-text: 4.0.2 + mermaid-isomorphic: 3.0.4(playwright@1.57.0) + mini-svg-data-uri: 1.4.4 + space-separated-tokens: 2.0.2 + unified: 11.0.5 + unist-util-visit-parents: 6.0.2 + vfile: 6.0.3 + optionalDependencies: + playwright: 1.57.0 + rehype-parse@9.0.1: dependencies: '@types/hast': 3.0.4 diff --git a/src/components/MermaidInit.astro b/src/components/MermaidInit.astro deleted file mode 100644 index 324ff37..0000000 --- a/src/components/MermaidInit.astro +++ /dev/null @@ -1,17 +0,0 @@ ---- -// Component to initialize mermaid diagrams ---- - - diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index 0414197..aeb59f7 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -167,13 +167,13 @@ export const registry: ComponentRegistry = { **When to use json-render**: -- ✅ You have a predefined component library -- ✅ You need streaming UI generation -- ✅ Visual complexity is limited (simple cards, forms, lists) -- ✅ You want runtime validation of generated output -- ❌ You need full design freedom -- ❌ You're generating complex layouts with deep nesting -- ❌ Your component library changes frequently +- + You have a predefined component library +- + You need streaming UI generation +- + Visual complexity is limited (simple cards, forms, lists) +- + You want runtime validation of generated output +- - You need full design freedom +- - You're generating complex layouts with deep nesting +- - Your component library changes frequently The catalog becomes your design contract. Change it, regenerate the system prompt, done. Predictability through constraints. @@ -245,14 +245,14 @@ and properly aligned. agent-browser returns natural language: ``` -✓ Page loaded successfully -✓ Login form card visible at center -✓ Email input: visible, properly labeled, placeholder present -✓ Password input: visible, properly labeled, placeholder present -✓ Submit button: visible, blue background, prominent -✓ Visual hierarchy: excellent (title → inputs → button → footer) -✓ Accessibility: labels properly associated with inputs -⚠ Minor: "Forgot password" link small, could be more prominent +* Page loaded successfully +* Login form card visible at center +* Email input: visible, properly labeled, placeholder present +* Password input: visible, properly labeled, placeholder present +* Submit button: visible, blue background, prominent +* Visual hierarchy: excellent (title → inputs → button → footer) +* Accessibility: labels properly associated with inputs +! Minor: "Forgot password" link small, could be more prominent Overall: Form displays correctly with good UX ``` @@ -287,19 +287,19 @@ Returns full page snapshot (markdown + accessibility tree) plus base64 PNG scree **When to use agent-browser**: -- ✅ Validating layout/positioning -- ✅ Checking element visibility -- ✅ Testing interaction states (hover, focus) -- ✅ Iterating rapidly on visual design -- ✅ Context window preservation matters (agentic workflows) +- + Validating layout/positioning +- + Checking element visibility +- + Testing interaction states (hover, focus) +- + Iterating rapidly on visual design +- + Context window preservation matters (agentic workflows) **When to use Playwright MCP**: -- ✅ Pixel-perfect comparison needed -- ✅ Screenshot documentation required -- ✅ Complex multi-step flows -- ✅ Full browser automation needed -- ✅ Visual regression testing +- + Pixel-perfect comparison needed +- + Screenshot documentation required +- + Complex multi-step flows +- + Full browser automation needed +- + Visual regression testing The feedback loop workflow: @@ -507,14 +507,14 @@ Storybook becomes living documentation that matches Figma exactly. Designers and **When to use Figma MCP**: -- ✅ Established design system exists in Figma -- ✅ Building component library -- ✅ Design-dev collaboration critical -- ✅ Need living documentation (Storybook) -- ✅ Want design as code workflow -- ❌ No design system (yet) -- ❌ Designs change too frequently (extraction overhead) -- ❌ Rate limits matter (Figma MCP has usage caps) +- + Established design system exists in Figma +- + Building component library +- + Design-dev collaboration critical +- + Need living documentation (Storybook) +- + Want design as code workflow +- - No design system (yet) +- - Designs change too frequently (extraction overhead) +- - Rate limits matter (Figma MCP has usage caps) The constraint here is the design system itself. Figma becomes the contract. Code generation follows Figma truth. Predictability through design authority. diff --git a/src/layouts/BlogPost.astro b/src/layouts/BlogPost.astro index eeac4c5..a1a52d1 100644 --- a/src/layouts/BlogPost.astro +++ b/src/layouts/BlogPost.astro @@ -3,7 +3,6 @@ import type { CollectionEntry } from "astro:content"; import BaseHead from "../components/BaseHead.astro"; import FormattedDate from "../components/FormattedDate.astro"; import BaseLayout from "../layouts/BaseLayout.astro"; -import MermaidInit from "../components/MermaidInit.astro"; type Props = CollectionEntry<"blog">["data"]; @@ -30,6 +29,5 @@ const { title, description, pubDate, updatedDate } = Astro.props;
- diff --git a/src/layouts/Talk.astro b/src/layouts/Talk.astro index 2567862..6e97cb3 100644 --- a/src/layouts/Talk.astro +++ b/src/layouts/Talk.astro @@ -3,7 +3,6 @@ import type { CollectionEntry } from "astro:content"; import BaseHead from "../components/BaseHead.astro"; import FormattedDate from "../components/FormattedDate.astro"; import BaseLayout from "../layouts/BaseLayout.astro"; -import MermaidInit from "../components/MermaidInit.astro"; type Props = CollectionEntry<"talks">["data"]; @@ -58,6 +57,5 @@ const { title, description, pubDate, updatedDate, event, slides, recording } =
- diff --git a/src/styles/base.css b/src/styles/base.css index 63e17f6..9f4b420 100644 --- a/src/styles/base.css +++ b/src/styles/base.css @@ -55,7 +55,6 @@ .prose code { color: var(--color-gray-1200); - font-weight: var(--font-weight-bold); } .prose time { From a04bc2745009345e6c78d54e3104aac25af4855c Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Sun, 25 Jan 2026 12:05:22 +0000 Subject: [PATCH 06/18] chore: run format script --- ...-prompts-to-predictable-user-interfaces.md | 38 +++++++++---------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index aeb59f7..77f052c 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -167,10 +167,10 @@ export const registry: ComponentRegistry = { **When to use json-render**: -- + You have a predefined component library -- + You need streaming UI generation -- + Visual complexity is limited (simple cards, forms, lists) -- + You want runtime validation of generated output +- - You have a predefined component library +- - You need streaming UI generation +- - Visual complexity is limited (simple cards, forms, lists) +- - You want runtime validation of generated output - - You need full design freedom - - You're generating complex layouts with deep nesting - - Your component library changes frequently @@ -287,19 +287,19 @@ Returns full page snapshot (markdown + accessibility tree) plus base64 PNG scree **When to use agent-browser**: -- + Validating layout/positioning -- + Checking element visibility -- + Testing interaction states (hover, focus) -- + Iterating rapidly on visual design -- + Context window preservation matters (agentic workflows) +- - Validating layout/positioning +- - Checking element visibility +- - Testing interaction states (hover, focus) +- - Iterating rapidly on visual design +- - Context window preservation matters (agentic workflows) **When to use Playwright MCP**: -- + Pixel-perfect comparison needed -- + Screenshot documentation required -- + Complex multi-step flows -- + Full browser automation needed -- + Visual regression testing +- - Pixel-perfect comparison needed +- - Screenshot documentation required +- - Complex multi-step flows +- - Full browser automation needed +- - Visual regression testing The feedback loop workflow: @@ -507,11 +507,11 @@ Storybook becomes living documentation that matches Figma exactly. Designers and **When to use Figma MCP**: -- + Established design system exists in Figma -- + Building component library -- + Design-dev collaboration critical -- + Need living documentation (Storybook) -- + Want design as code workflow +- - Established design system exists in Figma +- - Building component library +- - Design-dev collaboration critical +- - Need living documentation (Storybook) +- - Want design as code workflow - - No design system (yet) - - Designs change too frequently (extraction overhead) - - Rate limits matter (Figma MCP has usage caps) From 8694bcc9ea5fc8edd333a17f5be56f8064bed9c8 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Sun, 25 Jan 2026 12:06:48 +0000 Subject: [PATCH 07/18] fix: duplicate id warning in talks collection Add explicit generateId to talks glob loader to prevent dev-time duplicate ID warnings. Co-Authored-By: Claude Sonnet 4.5 --- src/content.config.ts | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/content.config.ts b/src/content.config.ts index 362bbd0..34d17ce 100644 --- a/src/content.config.ts +++ b/src/content.config.ts @@ -14,7 +14,11 @@ const blog = defineCollection({ }); const talks = defineCollection({ - loader: glob({ pattern: "**/*.{md,mdx}", base: "./src/content/talks" }), + loader: glob({ + pattern: "**/*.{md,mdx}", + base: "./src/content/talks", + generateId: ({ entry }) => entry, + }), schema: z.object({ title: z.string(), description: z.string(), From 1e2cca4d27529c5b2d2aa847b424858c36d6765f Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Sun, 25 Jan 2026 12:11:08 +0000 Subject: [PATCH 08/18] refactor: reorder techniques to match talk flow MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Reorder: Figma MCP → agent-browser → json-render - Update intro list to match new order - Update key takeaways section - Fix generateId to prevent duplicate warnings Co-Authored-By: Claude Sonnet 4.5 --- src/content.config.ts | 2 +- ...-prompts-to-predictable-user-interfaces.md | 600 +++++++++--------- 2 files changed, 301 insertions(+), 301 deletions(-) diff --git a/src/content.config.ts b/src/content.config.ts index 34d17ce..a3fce17 100644 --- a/src/content.config.ts +++ b/src/content.config.ts @@ -17,7 +17,7 @@ const talks = defineCollection({ loader: glob({ pattern: "**/*.{md,mdx}", base: "./src/content/talks", - generateId: ({ entry }) => entry, + generateId: ({ entry }) => entry.replace(/\.(md|mdx)$/, ""), }), schema: z.object({ title: z.string(), diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index 77f052c..46924b1 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -18,164 +18,215 @@ Limited choices → predictable outputs. This is true for design systems, code a I presented three techniques at FE.OPO #9 for building predictable AI UIs: -1. **Structured Output (json-render)**: AI → JSON → UI pipeline with component catalog as contract +1. **Design System Contracts (Figma MCP)**: Extract design truth directly from Figma, generate code + stories 2. **Visual Feedback Loops (agent-browser)**: Generate → Validate → Iterate pattern with natural language feedback -3. **Design System Contracts (Figma MCP)**: Extract design truth directly from Figma, generate code + stories +3. **Structured Output (json-render)**: AI → JSON → UI pipeline with component catalog as contract Each adds different constraints to tame LLM unpredictability. Let's dig into how they work. -## Technique #1: json-render (Structured Output Format) +## Technique #1: Figma MCP (Design System as Contract) -**The problem**: Free-form code generation leads to inconsistent output. Ask Claude to "build a login form" and you'll get React one time, Vue another, different component structures each run, varying class names, inconsistent patterns. +**The problem**: Traditional design handoff loses fidelity. -**The solution**: Don't generate code. Generate JSON. +Designer creates mockups → Dev interprets visuals → Implementation drifts from design. Colors slightly off. Spacing inconsistent. Typography mismatched. The gap between "what designer intended" and "what developer built" is where quality dies. -json-render is a library that implements this pattern: AI → JSONL → UI. Instead of asking the LLM to output React/Vue/whatever directly, you teach it to output JSON Lines patches describing the UI structure. A separate renderer applies those patches and maps them to your component library. +**The solution**: Extract design truth directly from Figma, use it as contract. -Here's the architecture: +Figma MCP (Model Context Protocol) lets Claude read Figma files programmatically. Extract components, design tokens, variants—everything. Generate code that matches design exactly. No interpretation gap. + +Here's the workflow: ```mermaid graph TD - A[User prompt] --> B[Claude API with system prompt teaching JSONL format] - B --> C[JSONL patches streamed] - C --> D[useUIStream hook parses patches] - D --> E[Renderer applies patches to tree] - E --> F[Component registry maps types → React components] + A[Figma Design System] --> B[get_design_context extract component structure] + A --> C[get_variable_defs extract design tokens] + B --> D[Component Code + Design Tokens] + C --> D + D --> E[React components with Base UI + Tailwind] + E --> F[Storybook stories one per variant] ``` -The key constraint is the **component catalog**. You define available components upfront with Zod schemas: +**Step 1: Extract design tokens** ```typescript -export const catalog = createCatalog({ - components: { - Card: { - props: z.object({ - title: z.string(), - description: z.string().nullable(), - }), - hasChildren: true, +// Use Figma MCP +mcp__figma__get_variable_defs(fileKey, nodeId); + +// Generates tokens.ts: +export const tokens = { + color: { + text: { + brandOnBrand: "#f5f5f5", + default: "#1e1e1e", + subtle: "#666666", }, - Button: { - props: z.object({ - label: z.string(), - action: z.string(), - params: z.record(z.string(), z.any()).optional(), - variant: z.enum(["default", "outline", "ghost"]).optional(), - size: z.enum(["default", "sm", "lg"]).optional(), - }), + background: { + brandDefault: "#1e1e1e", + brandHover: "#2d2d2d", + neutral: "#e5e5e5", + neutralHover: "#d4d4d4", + subtle: "transparent", + subtleHover: "#f5f5f5", }, - Text: { - props: z.object({ - content: z.string(), - }), + border: { + neutral: "#d4d4d4", + subtle: "#e5e5e5", }, }, - actions: { - submit: { - params: z.object({ formId: z.string() }), - }, - navigate: { - params: z.object({ url: z.string() }), + typography: { + body: { + fontFamily: "Inter, sans-serif", + fontWeightRegular: 400, + sizeMedium: "16px", + sizeSmall: "14px", }, }, -}); + spacing: { + xs: "4px", + sm: "8px", + md: "12px", + lg: "16px", + }, + borderRadius: { + sm: "4px", + md: "6px", + }, +} as const; ``` -This catalog serves two purposes: - -1. Generates the system prompt teaching Claude the JSONL format -2. Validates runtime props via `@json-render/core` +These become your single source of truth. Change Figma variable, re-extract, update tokens.ts. Design stays in sync with code. -The system prompt becomes your contract: +**Step 2: Extract component structure** ```typescript -const SYSTEM_PROMPT = `You are a UI generator that outputs JSONL (JSON Lines) patches. +// Extract Button component +mcp__figma__get_design_context(fileKey, buttonNodeId); -AVAILABLE COMPONENTS: -Card, Button, Text +// Returns React component code with Tailwind +``` -COMPONENT DETAILS: -- Card: { title: string, description?: string | null } - Container with title, can have children -- Button: { label: string, action: string, params?: object, variant?: "default" | "outline" | "ghost", size?: "default" | "sm" | "lg" } - Clickable button that triggers an action -- Text: { content: string } - Text paragraph +For a Button component with 18 variants (3 visual styles × 3 states × 2 sizes), Figma MCP extracts all of them. You map to accessible primitives: -OUTPUT FORMAT: -Output JSONL where each line is a patch operation. Use a FLAT key-based structure: +```typescript +// examples/design-system-demo/src/components/button.tsx +import { Button as BaseButton } from "@base-ui/react/button"; +import { cva, type VariantProps } from "class-variance-authority"; -OPERATIONS: -- {"op":"set","path":"/root","value":"main-card"} - Set the root element key -- {"op":"add","path":"/elements/main-card","value":{...}} - Add an element by unique key +const buttonVariants = cva( + "inline-flex items-center justify-center gap-2 border font-body font-normal leading-none rounded-md transition-colors", + { + variants: { + variant: { + primary: "bg-bg-brand text-brand-on-brand", + neutral: "bg-bg-neutral text-default", + subtle: "bg-transparent text-default border-transparent", + }, + size: { + small: "h-8 p-sm text-sm", + medium: "h-10 p-md text-base", + }, + disabled: { + false: null, + true: "bg-bg-disabled text-disabled cursor-not-allowed border-border-disabled", + }, + }, + compoundVariants: [ + { + variant: "primary", + disabled: false, + className: "border-border-primary hover:bg-bg-brand-hover", + }, + { + variant: "neutral", + disabled: false, + className: "border-border-neutral hover:bg-bg-neutral-hover", + }, + { + variant: "subtle", + disabled: false, + className: "hover:border-border-subtle", + }, + ], + defaultVariants: { + variant: "primary", + size: "medium", + disabled: false, + }, + }, +); -ELEMENT STRUCTURE: -{ - "key": "unique-key", - "type": "ComponentType", - "props": { ... }, - "children": ["child-key-1", "child-key-2"] // Array of child element keys (only for Card) +export function Button({ className, variant, size, children, disabled, ...props }: ButtonProps) { + return ( + + {children} + + ); } +``` -RULES: -1. First set /root to the root element's key -2. Add each element with a unique key using /elements/{key} -3. Parent elements list child keys in their "children" array -4. Stream elements progressively - parent first, then children -5. Each element must have: key, type, props -6. Children array contains STRING KEYS, not nested objects -7. Only Card can have children +**Step 3: Generate Storybook stories** -Generate JSONL patches now:`; -``` +For each Figma variant, generate a Storybook story: -Notice the constraints: +```typescript +// examples/design-system-demo/src/components/button.stories.tsx +export const PrimaryDefaultMedium: Story = { + args: { + variant: "primary", + size: "medium", + children: "Button", + }, +}; -- Only 3 components (Card, Button, Text) -- Flat key-based structure (no nesting) -- Only Card supports children -- Children are string keys, not objects -- Specific operations (set, add) +export const PrimaryHoverMedium: Story = { + args: { + variant: "primary", + size: "medium", + children: "Button", + }, + parameters: { + pseudo: { hover: true }, + }, +}; -When you prompt "Create a welcome card with a button," Claude generates: +export const PrimaryDisabledMedium: Story = { + args: { + variant: "primary", + size: "medium", + children: "Button", + disabled: true, + }, +}; -```jsonl -{"op":"set","path":"/root","value":"welcome-card"} -{"op":"add","path":"/elements/welcome-card","value":{"key":"welcome-card","type":"Card","props":{"title":"Welcome","description":"Thanks for trying json-render"},"children":["greeting-text","get-started-btn"]}} -{"op":"add","path":"/elements/greeting-text","value":{"key":"greeting-text","type":"Text","props":{"content":"This demo shows how AI can generate predictable UIs using structured output formats."}}} -{"op":"add","path":"/elements/get-started-btn","value":{"key":"get-started-btn","type":"Button","props":{"label":"Get Started","action":"navigate","params":{"url":"/home"},"variant":"default"}}} +// ...15 more variants ``` -These patches stream to the frontend. The `useUIStream` hook parses them. The `Renderer` component applies them to a tree structure. Finally, the component registry maps types to React implementations: +Storybook becomes living documentation that matches Figma exactly. Designers and developers reference the same truth. -```typescript -export const registry: ComponentRegistry = { - Card: ({ element, children }) => ( -
-
-

{element.props.title}

- {element.props.description && ( -

{element.props.description}

- )} -
-
{children}
-
- ), - Button, - Text: ({ element }) =>

{element.props.content}

, -}; -``` +**Key benefits**: -**Why this matters**: The LLM can't deviate. It knows exactly 3 components. It knows exactly what props they accept. It knows the exact format for patches. Limited choices → predictable outputs. +- Design tokens as single source of truth +- Automated variant generation (no manual mapping) +- Living documentation via Storybook +- No interpretation gap between design and code +- Visual validation via `get_screenshot` (compare Figma to rendered) -**When to use json-render**: +**When to use Figma MCP**: -- - You have a predefined component library -- - You need streaming UI generation -- - Visual complexity is limited (simple cards, forms, lists) -- - You want runtime validation of generated output -- - You need full design freedom -- - You're generating complex layouts with deep nesting -- - Your component library changes frequently +- + Established design system exists in Figma +- + Building component library +- + Design-dev collaboration critical +- + Need living documentation (Storybook) +- + Want design as code workflow +- - No design system (yet) +- - Designs change too frequently (extraction overhead) +- - Rate limits matter (Figma MCP has usage caps) -The catalog becomes your design contract. Change it, regenerate the system prompt, done. Predictability through constraints. +The constraint here is the design system itself. Figma becomes the contract. Code generation follows Figma truth. Predictability through design authority. ## Technique #2: Feedback Loops (Visual Validation) @@ -287,19 +338,19 @@ Returns full page snapshot (markdown + accessibility tree) plus base64 PNG scree **When to use agent-browser**: -- - Validating layout/positioning -- - Checking element visibility -- - Testing interaction states (hover, focus) -- - Iterating rapidly on visual design -- - Context window preservation matters (agentic workflows) +- + Validating layout/positioning +- + Checking element visibility +- + Testing interaction states (hover, focus) +- + Iterating rapidly on visual design +- + Context window preservation matters (agentic workflows) **When to use Playwright MCP**: -- - Pixel-perfect comparison needed -- - Screenshot documentation required -- - Complex multi-step flows -- - Full browser automation needed -- - Visual regression testing +- + Pixel-perfect comparison needed +- + Screenshot documentation required +- + Complex multi-step flows +- + Full browser automation needed +- + Visual regression testing The feedback loop workflow: @@ -314,220 +365,169 @@ The feedback loop workflow: For agentic workflows where Claude is autonomously iterating on designs, agent-browser preserves context budget for actual code changes instead of bloating it with images. -## Technique #3: Figma MCP (Design System as Contract) - -**The problem**: Traditional design handoff loses fidelity. +## Technique #3: json-render (Structured Output Format) -Designer creates mockups → Dev interprets visuals → Implementation drifts from design. Colors slightly off. Spacing inconsistent. Typography mismatched. The gap between "what designer intended" and "what developer built" is where quality dies. +**The problem**: Free-form code generation leads to inconsistent output. Ask Claude to "build a login form" and you'll get React one time, Vue another, different component structures each run, varying class names, inconsistent patterns. -**The solution**: Extract design truth directly from Figma, use it as contract. +**The solution**: Don't generate code. Generate JSON. -Figma MCP (Model Context Protocol) lets Claude read Figma files programmatically. Extract components, design tokens, variants—everything. Generate code that matches design exactly. No interpretation gap. +json-render is a library that implements this pattern: AI → JSONL → UI. Instead of asking the LLM to output React/Vue/whatever directly, you teach it to output JSON Lines patches describing the UI structure. A separate renderer applies those patches and maps them to your component library. -Here's the workflow: +Here's the architecture: ```mermaid graph TD - A[Figma Design System] --> B[get_design_context extract component structure] - A --> C[get_variable_defs extract design tokens] - B --> D[Component Code + Design Tokens] - C --> D - D --> E[React components with Base UI + Tailwind] - E --> F[Storybook stories one per variant] + A[User prompt] --> B[Claude API with system prompt teaching JSONL format] + B --> C[JSONL patches streamed] + C --> D[useUIStream hook parses patches] + D --> E[Renderer applies patches to tree] + E --> F[Component registry maps types → React components] ``` -**Step 1: Extract design tokens** - -```typescript -// Use Figma MCP -mcp__figma__get_variable_defs(fileKey, nodeId); - -// Generates tokens.ts: -export const tokens = { - color: { - text: { - brandOnBrand: "#f5f5f5", - default: "#1e1e1e", - subtle: "#666666", +The key constraint is the **component catalog**. You define available components upfront with Zod schemas: + +```typescript +export const catalog = createCatalog({ + components: { + Card: { + props: z.object({ + title: z.string(), + description: z.string().nullable(), + }), + hasChildren: true, }, - background: { - brandDefault: "#1e1e1e", - brandHover: "#2d2d2d", - neutral: "#e5e5e5", - neutralHover: "#d4d4d4", - subtle: "transparent", - subtleHover: "#f5f5f5", + Button: { + props: z.object({ + label: z.string(), + action: z.string(), + params: z.record(z.string(), z.any()).optional(), + variant: z.enum(["default", "outline", "ghost"]).optional(), + size: z.enum(["default", "sm", "lg"]).optional(), + }), }, - border: { - neutral: "#d4d4d4", - subtle: "#e5e5e5", + Text: { + props: z.object({ + content: z.string(), + }), }, }, - typography: { - body: { - fontFamily: "Inter, sans-serif", - fontWeightRegular: 400, - sizeMedium: "16px", - sizeSmall: "14px", + actions: { + submit: { + params: z.object({ formId: z.string() }), + }, + navigate: { + params: z.object({ url: z.string() }), }, }, - spacing: { - xs: "4px", - sm: "8px", - md: "12px", - lg: "16px", - }, - borderRadius: { - sm: "4px", - md: "6px", - }, -} as const; +}); ``` -These become your single source of truth. Change Figma variable, re-extract, update tokens.ts. Design stays in sync with code. +This catalog serves two purposes: -**Step 2: Extract component structure** +1. Generates the system prompt teaching Claude the JSONL format +2. Validates runtime props via `@json-render/core` + +The system prompt becomes your contract: ```typescript -// Extract Button component -mcp__figma__get_design_context(fileKey, buttonNodeId); +const SYSTEM_PROMPT = `You are a UI generator that outputs JSONL (JSON Lines) patches. -// Returns React component code with Tailwind -``` +AVAILABLE COMPONENTS: +Card, Button, Text -For a Button component with 18 variants (3 visual styles × 3 states × 2 sizes), Figma MCP extracts all of them. You map to accessible primitives: +COMPONENT DETAILS: +- Card: { title: string, description?: string | null } - Container with title, can have children +- Button: { label: string, action: string, params?: object, variant?: "default" | "outline" | "ghost", size?: "default" | "sm" | "lg" } - Clickable button that triggers an action +- Text: { content: string } - Text paragraph -```typescript -// examples/design-system-demo/src/components/button.tsx -import { Button as BaseButton } from "@base-ui/react/button"; -import { cva, type VariantProps } from "class-variance-authority"; +OUTPUT FORMAT: +Output JSONL where each line is a patch operation. Use a FLAT key-based structure: -const buttonVariants = cva( - "inline-flex items-center justify-center gap-2 border font-body font-normal leading-none rounded-md transition-colors", - { - variants: { - variant: { - primary: "bg-bg-brand text-brand-on-brand", - neutral: "bg-bg-neutral text-default", - subtle: "bg-transparent text-default border-transparent", - }, - size: { - small: "h-8 p-sm text-sm", - medium: "h-10 p-md text-base", - }, - disabled: { - false: null, - true: "bg-bg-disabled text-disabled cursor-not-allowed border-border-disabled", - }, - }, - compoundVariants: [ - { - variant: "primary", - disabled: false, - className: "border-border-primary hover:bg-bg-brand-hover", - }, - { - variant: "neutral", - disabled: false, - className: "border-border-neutral hover:bg-bg-neutral-hover", - }, - { - variant: "subtle", - disabled: false, - className: "hover:border-border-subtle", - }, - ], - defaultVariants: { - variant: "primary", - size: "medium", - disabled: false, - }, - }, -); +OPERATIONS: +- {"op":"set","path":"/root","value":"main-card"} - Set the root element key +- {"op":"add","path":"/elements/main-card","value":{...}} - Add an element by unique key -export function Button({ className, variant, size, children, disabled, ...props }: ButtonProps) { - return ( - - {children} - - ); +ELEMENT STRUCTURE: +{ + "key": "unique-key", + "type": "ComponentType", + "props": { ... }, + "children": ["child-key-1", "child-key-2"] // Array of child element keys (only for Card) } -``` -**Step 3: Generate Storybook stories** +RULES: +1. First set /root to the root element's key +2. Add each element with a unique key using /elements/{key} +3. Parent elements list child keys in their "children" array +4. Stream elements progressively - parent first, then children +5. Each element must have: key, type, props +6. Children array contains STRING KEYS, not nested objects +7. Only Card can have children -For each Figma variant, generate a Storybook story: +Generate JSONL patches now:`; +``` -```typescript -// examples/design-system-demo/src/components/button.stories.tsx -export const PrimaryDefaultMedium: Story = { - args: { - variant: "primary", - size: "medium", - children: "Button", - }, -}; +Notice the constraints: -export const PrimaryHoverMedium: Story = { - args: { - variant: "primary", - size: "medium", - children: "Button", - }, - parameters: { - pseudo: { hover: true }, - }, -}; +- Only 3 components (Card, Button, Text) +- Flat key-based structure (no nesting) +- Only Card supports children +- Children are string keys, not objects +- Specific operations (set, add) -export const PrimaryDisabledMedium: Story = { - args: { - variant: "primary", - size: "medium", - children: "Button", - disabled: true, - }, -}; +When you prompt "Create a welcome card with a button," Claude generates: -// ...15 more variants +```jsonl +{"op":"set","path":"/root","value":"welcome-card"} +{"op":"add","path":"/elements/welcome-card","value":{"key":"welcome-card","type":"Card","props":{"title":"Welcome","description":"Thanks for trying json-render"},"children":["greeting-text","get-started-btn"]}} +{"op":"add","path":"/elements/greeting-text","value":{"key":"greeting-text","type":"Text","props":{"content":"This demo shows how AI can generate predictable UIs using structured output formats."}}} +{"op":"add","path":"/elements/get-started-btn","value":{"key":"get-started-btn","type":"Button","props":{"label":"Get Started","action":"navigate","params":{"url":"/home"},"variant":"default"}}} ``` -Storybook becomes living documentation that matches Figma exactly. Designers and developers reference the same truth. +These patches stream to the frontend. The `useUIStream` hook parses them. The `Renderer` component applies them to a tree structure. Finally, the component registry maps types to React implementations: -**Key benefits**: +```typescript +export const registry: ComponentRegistry = { + Card: ({ element, children }) => ( +
+
+

{element.props.title}

+ {element.props.description && ( +

{element.props.description}

+ )} +
+
{children}
+
+ ), + Button, + Text: ({ element }) =>

{element.props.content}

, +}; +``` -- Design tokens as single source of truth -- Automated variant generation (no manual mapping) -- Living documentation via Storybook -- No interpretation gap between design and code -- Visual validation via `get_screenshot` (compare Figma to rendered) +**Why this matters**: The LLM can't deviate. It knows exactly 3 components. It knows exactly what props they accept. It knows the exact format for patches. Limited choices → predictable outputs. -**When to use Figma MCP**: +**When to use json-render**: -- - Established design system exists in Figma -- - Building component library -- - Design-dev collaboration critical -- - Need living documentation (Storybook) -- - Want design as code workflow -- - No design system (yet) -- - Designs change too frequently (extraction overhead) -- - Rate limits matter (Figma MCP has usage caps) +- + You have a predefined component library +- + You need streaming UI generation +- + Visual complexity is limited (simple cards, forms, lists) +- + You want runtime validation of generated output +- - You need full design freedom +- - You're generating complex layouts with deep nesting +- - Your component library changes frequently -The constraint here is the design system itself. Figma becomes the contract. Code generation follows Figma truth. Predictability through design authority. +The catalog becomes your design contract. Change it, regenerate the system prompt, done. Predictability through constraints. ## Choosing the Right Tool These three techniques aren't mutually exclusive—they complement each other: -**json-render**: When you know component structure upfront +**Figma MCP**: When design is the source of truth -- Predefined UI patterns (dashboards, forms, cards) -- Streaming generation from prompts -- Limited visual complexity -- Runtime validation needed +- Design system extraction +- Component library generation +- Design-dev handoff automation +- Living documentation **agent-browser**: When you need visual validation without bloating context @@ -536,12 +536,12 @@ These three techniques aren't mutually exclusive—they complement each other: - Agentic workflows (context budget critical) - Semantic validation sufficient -**Figma MCP**: When design is the source of truth +**json-render**: When you know component structure upfront -- Design system extraction -- Component library generation -- Design-dev handoff automation -- Living documentation +- Predefined UI patterns (dashboards, forms, cards) +- Streaming generation from prompts +- Limited visual complexity +- Runtime validation needed **Context budget matters**: For agentic workflows where Claude autonomously iterates, choose tools that preserve context: @@ -555,13 +555,13 @@ More context = fewer iterations before hitting limits. Choose wisely. Same prompt, different outputs—that's LLMs. But constraints enable predictability. -**Structured output (json-render)**: Limit component choices. Teach exact format. Get consistent results. AI → JSON → UI. +**Design contracts (Figma MCP)**: Design system as source of truth. Extract tokens, components, variants. Generate code that matches exactly. No interpretation gap. **Feedback loops (agent-browser)**: LLMs can't predict visual output. Build validation into workflow. Generate → Validate → Iterate. Context budget matters. -**Design contracts (Figma MCP)**: Design system as source of truth. Extract tokens, components, variants. Generate code that matches exactly. No interpretation gap. +**Structured output (json-render)**: Limit component choices. Teach exact format. Get consistent results. AI → JSON → UI. -These aren't silver bullets. json-render's limited component set won't work for complex designs. agent-browser's semantic validation can't catch pixel-level issues. Figma MCP has rate limits and extraction overhead. +These aren't silver bullets. Figma MCP has rate limits and extraction overhead. agent-browser's semantic validation can't catch pixel-level issues. json-render's limited component set won't work for complex designs. But they all share one insight: **guardrails are your best friend with LLMs**. Constrain the problem space. Make choices finite. Build contracts the model can't violate. From e2a8c7a6ebe1666f96d0aed807f03a60a3fad1d2 Mon Sep 17 00:00:00 2001 From: Claude Date: Sun, 25 Jan 2026 12:51:54 +0000 Subject: [PATCH 09/18] fix: add Mermaid diagram rendering support Add rehype-mermaid plugin to render Mermaid diagrams as inline SVGs at build time. This fixes the issue where Mermaid code blocks were displayed as raw code instead of being rendered as diagrams. --- astro.config.mjs | 2 + package-lock.json | 1394 +++++++++++++++++++++++++++++++++++++++++++-- package.json | 2 + 3 files changed, 1347 insertions(+), 51 deletions(-) diff --git a/astro.config.mjs b/astro.config.mjs index 462e2ad..2d0b0d9 100644 --- a/astro.config.mjs +++ b/astro.config.mjs @@ -1,6 +1,7 @@ import { defineConfig } from "astro/config"; import mdx from "@astrojs/mdx"; import tailwindcss from "@tailwindcss/vite"; +import rehypeMermaid from "rehype-mermaid"; import sitemap from "@astrojs/sitemap"; @@ -14,6 +15,7 @@ export default defineConfig({ dark: "catppuccin-mocha", }, }, + rehypePlugins: [[rehypeMermaid, { strategy: "inline-svg" }]], }, vite: { plugins: [tailwindcss()], diff --git a/package-lock.json b/package-lock.json index b60673e..305bad4 100644 --- a/package-lock.json +++ b/package-lock.json @@ -17,6 +17,8 @@ "astro": "^5.16.14", "chart.js": "^4.5.1", "clsx": "^2.1.0", + "mermaid": "^11.12.2", + "rehype-mermaid": "^3.0.0", "tailwind-merge": "^3.4.0", "typescript": "^5.9.3" }, @@ -31,6 +33,19 @@ "tailwindcss": "^4.1.18" } }, + "node_modules/@antfu/install-pkg": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/@antfu/install-pkg/-/install-pkg-1.1.0.tgz", + "integrity": "sha512-MGQsmw10ZyI+EJo45CdSER4zEb+p31LpDAFp2Z3gkSd1yqVZGi0Ebx++YTEMonJy4oChEMLsxZ64j8FH6sSqtQ==", + "license": "MIT", + "dependencies": { + "package-manager-detector": "^1.3.0", + "tinyexec": "^1.0.1" + }, + "funding": { + "url": "https://github.com/sponsors/antfu" + } + }, "node_modules/@astrojs/check": { "version": "0.9.6", "resolved": "https://registry.npmjs.org/@astrojs/check/-/check-0.9.6.tgz", @@ -334,6 +349,12 @@ "node": ">=6.9.0" } }, + "node_modules/@braintree/sanitize-url": { + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/@braintree/sanitize-url/-/sanitize-url-7.1.1.tgz", + "integrity": 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"node_modules/points-on-path": { + "version": "0.2.1", + "resolved": "https://registry.npmjs.org/points-on-path/-/points-on-path-0.2.1.tgz", + "integrity": "sha512-25ClnWWuw7JbWZcgqY/gJ4FQWadKxGWk+3kR/7kD0tCaDtPPMj7oHu2ToLaVhfpnHrZzYby2w6tUA0eOIuUg8g==", + "license": "MIT", + "dependencies": { + "path-data-parser": "0.1.0", + "points-on-curve": "0.2.0" + } + }, "node_modules/postcss": { "version": "8.5.6", "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.6.tgz", @@ -6446,6 +7652,34 @@ "url": "https://opencollective.com/unified" } }, + "node_modules/rehype-mermaid": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/rehype-mermaid/-/rehype-mermaid-3.0.0.tgz", + "integrity": "sha512-fxrD5E4Fa1WXUjmjNDvLOMT4XB1WaxcfycFIWiYU0yEMQhcTDElc9aDFnbDFRLxG1Cfo1I3mfD5kg4sjlWaB+Q==", + "license": "MIT", + "dependencies": { + "@types/hast": "^3.0.0", + "hast-util-from-html-isomorphic": "^2.0.0", + "hast-util-to-text": "^4.0.0", + "mermaid-isomorphic": "^3.0.0", + 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"node_modules/roughjs": { + "version": "4.6.6", + "resolved": "https://registry.npmjs.org/roughjs/-/roughjs-4.6.6.tgz", + "integrity": "sha512-ZUz/69+SYpFN/g/lUlo2FXcIjRkSu3nDarreVdGGndHEBJ6cXPdKguS8JGxwj5HA5xIbVKSmLgr5b3AWxtRfvQ==", + "license": "MIT", + "dependencies": { + "hachure-fill": "^0.5.2", + "path-data-parser": "^0.1.0", + "points-on-curve": "^0.2.0", + "points-on-path": "^0.2.1" + } + }, "node_modules/run-parallel": { "version": "1.2.0", "resolved": "https://registry.npmjs.org/run-parallel/-/run-parallel-1.2.0.tgz", @@ -6760,6 +8012,12 @@ "queue-microtask": "^1.2.2" } }, + "node_modules/rw": { + "version": "1.3.3", + "resolved": "https://registry.npmjs.org/rw/-/rw-1.3.3.tgz", + "integrity": "sha512-PdhdWy89SiZogBLaw42zdeqtRJ//zFd2PgQavcICDUgJT5oW10QCRKbJ6bg4r0/UY2M6BWd5tkxuGFRvCkgfHQ==", + "license": "BSD-3-Clause" + }, "node_modules/s.color": { "version": "0.0.15", "resolved": "https://registry.npmjs.org/s.color/-/s.color-0.0.15.tgz", @@ -6767,6 +8025,12 @@ "devOptional": true, "license": "MIT" }, + "node_modules/safer-buffer": { + "version": "2.1.2", + "resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz", + "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==", + "license": "MIT" + }, "node_modules/sass-formatter": { "version": "0.7.9", "resolved": "https://registry.npmjs.org/sass-formatter/-/sass-formatter-0.7.9.tgz", @@ -7009,6 +8273,12 @@ "inline-style-parser": "0.2.7" } }, + "node_modules/stylis": { + "version": "4.3.6", + "resolved": "https://registry.npmjs.org/stylis/-/stylis-4.3.6.tgz", + "integrity": "sha512-yQ3rwFWRfwNUY7H5vpU0wfdkNSnvnJinhF9830Swlaxl03zsOjCfmX0ugac+3LtK0lYSgwL/KXc8oYL3mG4YFQ==", + "license": "MIT" + }, "node_modules/suf-log": { "version": "2.5.3", "resolved": "https://registry.npmjs.org/suf-log/-/suf-log-2.5.3.tgz", @@ -7150,6 +8420,15 @@ "url": "https://github.com/sponsors/wooorm" } }, + "node_modules/ts-dedent": { + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/ts-dedent/-/ts-dedent-2.2.0.tgz", + "integrity": "sha512-q5W7tVM71e2xjHZTlgfTDoPF/SmqKG5hddq9SzR49CH2hayqRKJtQ4mtRlSxKaJlR/+9rEM+mnBHf7I2/BQcpQ==", + "license": "MIT", + "engines": { + "node": ">=6.10" + } + }, "node_modules/tsconfck": { "version": "3.1.6", "resolved": "https://registry.npmjs.org/tsconfck/-/tsconfck-3.1.6.tgz", @@ -7538,6 +8817,19 @@ "dev": true, "license": "MIT" }, + "node_modules/uuid": { + "version": "11.1.0", + "resolved": "https://registry.npmjs.org/uuid/-/uuid-11.1.0.tgz", + "integrity": "sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==", + "funding": [ + "https://github.com/sponsors/broofa", + "https://github.com/sponsors/ctavan" + ], + "license": "MIT", + "bin": { + "uuid": "dist/esm/bin/uuid" + } + }, "node_modules/vfile": { "version": "6.0.3", "resolved": "https://registry.npmjs.org/vfile/-/vfile-6.0.3.tgz", diff --git a/package.json b/package.json index 8fa0002..1e0e22d 100644 --- a/package.json +++ b/package.json @@ -26,6 +26,8 @@ "astro": "^5.16.14", "chart.js": "^4.5.1", "clsx": "^2.1.0", + "mermaid": "^11.12.2", + "rehype-mermaid": "^3.0.0", "tailwind-merge": "^3.4.0", "typescript": "^5.9.3" }, From 6fecb825ab72f3af4c94960ed49274c1d652ce05 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Tue, 27 Jan 2026 18:43:07 +0000 Subject: [PATCH 10/18] fix: resolve formatting issues and update talks content --- pnpm-lock.yaml | 44 +++++++++++++++ src/content.config.ts | 1 - ...-prompts-to-predictable-user-interfaces.md | 52 +++++++++--------- tests/visual.spec.ts | 2 + .../homepage-dark-chromium-darwin.png | Bin 136737 -> 162044 bytes .../homepage-light-chromium-darwin.png | Bin 135204 -> 160328 bytes .../moving-dark-chromium-darwin.png | Bin 20347 -> 21844 bytes .../moving-light-chromium-darwin.png | Bin 20446 -> 21668 bytes 8 files changed, 73 insertions(+), 26 deletions(-) diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 36e94b9..48ef90b 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -35,6 +35,9 @@ importers: clsx: specifier: ^2.1.0 version: 2.1.1 + mermaid: + specifier: ^11.12.2 + version: 11.12.2 rehype-mermaid: specifier: ^3.0.0 version: 3.0.0(playwright@1.57.0) @@ -387,89 +390,105 @@ packages: resolution: {integrity: sha512-excjX8DfsIcJ10x1Kzr4RcWe1edC9PquDRRPx3YVCvQv+U5p7Yin2s32ftzikXojb1PIFc/9Mt28/y+iRklkrw==} cpu: [arm64] os: [linux] + libc: [glibc] '@img/sharp-libvips-linux-arm@1.2.4': resolution: {integrity: sha512-bFI7xcKFELdiNCVov8e44Ia4u2byA+l3XtsAj+Q8tfCwO6BQ8iDojYdvoPMqsKDkuoOo+X6HZA0s0q11ANMQ8A==} cpu: [arm] os: [linux] + libc: [glibc] '@img/sharp-libvips-linux-ppc64@1.2.4': resolution: {integrity: sha512-FMuvGijLDYG6lW+b/UvyilUWu5Ayu+3r2d1S8notiGCIyYU/76eig1UfMmkZ7vwgOrzKzlQbFSuQfgm7GYUPpA==} cpu: [ppc64] os: [linux] + libc: [glibc] '@img/sharp-libvips-linux-riscv64@1.2.4': resolution: {integrity: sha512-oVDbcR4zUC0ce82teubSm+x6ETixtKZBh/qbREIOcI3cULzDyb18Sr/Wcyx7NRQeQzOiHTNbZFF1UwPS2scyGA==} cpu: 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|| ^20.3.0 || >=21.0.0} cpu: [s390x] os: [linux] + libc: [glibc] '@img/sharp-linux-x64@0.34.5': resolution: {integrity: sha512-MEzd8HPKxVxVenwAa+JRPwEC7QFjoPWuS5NZnBt6B3pu7EG2Ge0id1oLHZpPJdn3OQK+BQDiw9zStiHBTJQQQQ==} engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0} cpu: [x64] os: [linux] + libc: [glibc] '@img/sharp-linuxmusl-arm64@0.34.5': resolution: {integrity: sha512-fprJR6GtRsMt6Kyfq44IsChVZeGN97gTD331weR1ex1c1rypDEABN6Tm2xa1wE6lYb5DdEnk03NZPqA7Id21yg==} engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0} cpu: [arm64] os: [linux] + libc: [musl] '@img/sharp-linuxmusl-x64@0.34.5': resolution: {integrity: sha512-Jg8wNT1MUzIvhBFxViqrEhWDGzqymo3sV7z7ZsaWbZNDLXRJZoRGrjulp60YYtV4wfY8VIKcWidjojlLcWrd8Q==} engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0} cpu: [x64] os: [linux] + libc: [musl] '@img/sharp-wasm32@0.34.5': resolution: {integrity: sha512-OdWTEiVkY2PHwqkbBI8frFxQQFekHaSSkUIJkwzclWZe64O1X4UlUjqqqLaPbUpMOQk6FBu/HtlGXNblIs0huw==} @@ -554,24 +573,28 @@ packages: engines: {node: '>= 10'} cpu: [arm64] os: [linux] + libc: [glibc] '@myriaddreamin/typst-ts-node-compiler-linux-arm64-musl@0.7.0-rc2': resolution: {integrity: sha512-wNEYhpjuwnhd7VrArL4EHd652z8YEGxG6C8haUjkVhGseFBetrL51yD1Ymg5fWEa+3+O4oZ1+IUN0Fu4/fKgHw==} engines: {node: '>= 10'} cpu: [arm64] os: [linux] + libc: [musl] '@myriaddreamin/typst-ts-node-compiler-linux-x64-gnu@0.7.0-rc2': resolution: {integrity: sha512-Z4i78r5MtFDYGHqgYrWfAcvqb3xW49WlLI35l1G818lYmkmGZAjAkVKb946ChOx+bBQIuMWefykCABLOlBkgKA==} engines: {node: '>= 10'} cpu: [x64] os: [linux] + libc: [glibc] '@myriaddreamin/typst-ts-node-compiler-linux-x64-musl@0.7.0-rc2': resolution: {integrity: sha512-PXteqxa3RITEh5v3lQ4c5VGn16KHvUKVXjSZ2BudCe6C0gEuOO16JS9JU8DZVwd0dbtH0Mky6Q5V7tf6erpXGA==} engines: {node: '>= 10'} cpu: [x64] os: [linux] + libc: [musl] '@myriaddreamin/typst-ts-node-compiler-win32-arm64-msvc@0.7.0-rc2': resolution: {integrity: sha512-wN1tjdRxabJzT8WuDVdOs2QKQuMzKht3QWPU/H7OjuDta1WcrYs/3IKnF67HNiphe/33MU8bKeih2GBVU+AuLg==} @@ -655,66 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os: [linux] + libc: [musl] '@rollup/rollup-linux-s390x-gnu@4.56.0': resolution: {integrity: sha512-zhLLJx9nQPu7wezbxt2ut+CI4YlXi68ndEve16tPc/iwoylWS9B3FxpLS2PkmfYgDQtosah07Mj9E0khc3Y+vQ==} cpu: [s390x] os: [linux] + libc: [glibc] '@rollup/rollup-linux-x64-gnu@4.56.0': resolution: {integrity: sha512-MVC6UDp16ZSH7x4rtuJPAEoE1RwS8N4oK9DLHy3FTEdFoUTCFVzMfJl/BVJ330C+hx8FfprA5Wqx4FhZXkj2Kw==} cpu: [x64] os: [linux] + libc: [glibc] '@rollup/rollup-linux-x64-musl@4.56.0': resolution: {integrity: sha512-ZhGH1eA4Qv0lxaV00azCIS1ChedK0V32952Md3FtnxSqZTBTd6tgil4nZT5cU8B+SIw3PFYkvyR4FKo2oyZIHA==} cpu: [x64] os: [linux] + libc: [musl] '@rollup/rollup-openbsd-x64@4.56.0': resolution: {integrity: sha512-O16XcmyDeFI9879pEcmtWvD/2nyxR9mF7Gs44lf1vGGx8Vg2DRNx11aVXBEqOQhWb92WN4z7fW/q4+2NYzCbBA==} @@ -805,24 +841,28 @@ packages: engines: {node: '>= 10'} cpu: [arm64] os: [linux] + libc: [glibc] '@tailwindcss/oxide-linux-arm64-musl@4.1.18': resolution: {integrity: sha512-1px92582HkPQlaaCkdRcio71p8bc8i/ap5807tPRDK/uw953cauQBT8c5tVGkOwrHMfc2Yh6UuxaH4vtTjGvHg==} engines: {node: '>= 10'} cpu: [arm64] os: [linux] + libc: [musl] '@tailwindcss/oxide-linux-x64-gnu@4.1.18': resolution: {integrity: sha512-v3gyT0ivkfBLoZGF9LyHmts0Isc8jHZyVcbzio6Wpzifg/+5ZJpDiRiUhDLkcr7f/r38SWNe7ucxmGW3j3Kb/g==} engines: {node: '>= 10'} cpu: [x64] os: [linux] + libc: [glibc] '@tailwindcss/oxide-linux-x64-musl@4.1.18': resolution: {integrity: sha512-bhJ2y2OQNlcRwwgOAGMY0xTFStt4/wyU6pvI6LSuZpRgKQwxTec0/3Scu91O8ir7qCR3AuepQKLU/kX99FouqQ==} engines: {node: '>= 10'} cpu: [x64] os: [linux] + libc: [musl] '@tailwindcss/oxide-wasm32-wasi@4.1.18': resolution: {integrity: sha512-LffYTvPjODiP6PT16oNeUQJzNVyJl1cjIebq/rWWBF+3eDst5JGEFSc5cWxyRCJ0Mxl+KyIkqRxk1XPEs9x8TA==} @@ -1813,24 +1853,28 @@ packages: engines: {node: '>= 12.0.0'} cpu: [arm64] os: [linux] + libc: [glibc] lightningcss-linux-arm64-musl@1.30.2: resolution: {integrity: sha512-5Vh9dGeblpTxWHpOx8iauV02popZDsCYMPIgiuw97OJ5uaDsL86cnqSFs5LZkG3ghHoX5isLgWzMs+eD1YzrnA==} engines: {node: '>= 12.0.0'} cpu: [arm64] os: [linux] + libc: [musl] lightningcss-linux-x64-gnu@1.30.2: resolution: {integrity: sha512-Cfd46gdmj1vQ+lR6VRTTadNHu6ALuw2pKR9lYq4FnhvgBc4zWY1EtZcAc6EffShbb1MFrIPfLDXD6Xprbnni4w==} engines: {node: '>= 12.0.0'} cpu: [x64] os: [linux] + libc: [glibc] lightningcss-linux-x64-musl@1.30.2: resolution: {integrity: sha512-XJaLUUFXb6/QG2lGIW6aIk6jKdtjtcffUT0NKvIqhSBY3hh9Ch+1LCeH80dR9q9LBjG3ewbDjnumefsLsP6aiA==} engines: {node: '>= 12.0.0'} cpu: [x64] os: [linux] + libc: [musl] lightningcss-win32-arm64-msvc@1.30.2: resolution: {integrity: sha512-FZn+vaj7zLv//D/192WFFVA0RgHawIcHqLX9xuWiQt7P0PtdFEVaxgF9rjM/IRYHQXNnk61/H/gb2Ei+kUQ4xQ==} diff --git a/src/content.config.ts b/src/content.config.ts index a3fce17..35fc1d9 100644 --- a/src/content.config.ts +++ b/src/content.config.ts @@ -17,7 +17,6 @@ const talks = defineCollection({ loader: glob({ pattern: "**/*.{md,mdx}", base: "./src/content/talks", - generateId: ({ entry }) => entry.replace(/\.(md|mdx)$/, ""), }), schema: z.object({ title: z.string(), diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index 46924b1..3b2ee8f 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -217,14 +217,15 @@ Storybook becomes living documentation that matches Figma exactly. Designers and **When to use Figma MCP**: -- + Established design system exists in Figma -- + Building component library -- + Design-dev collaboration critical -- + Need living documentation (Storybook) -- + Want design as code workflow -- - No design system (yet) -- - Designs change too frequently (extraction overhead) -- - Rate limits matter (Figma MCP has usage caps) +- Established design system exists in Figma +- Building component library +- Design-dev collaboration critical +- Need living documentation (Storybook) +- Want design as code workflow + +- No design system (yet) +- Designs change too frequently (extraction overhead) +- Rate limits matter (Figma MCP has usage caps) The constraint here is the design system itself. Figma becomes the contract. Code generation follows Figma truth. Predictability through design authority. @@ -338,19 +339,19 @@ Returns full page snapshot (markdown + accessibility tree) plus base64 PNG scree **When to use agent-browser**: -- + Validating layout/positioning -- + Checking element visibility -- + Testing interaction states (hover, focus) -- + Iterating rapidly on visual design -- + Context window preservation matters (agentic workflows) +- Validating layout/positioning +- Checking element visibility +- Testing interaction states (hover, focus) +- Iterating rapidly on visual design +- Context window preservation matters (agentic workflows) **When to use Playwright MCP**: -- + Pixel-perfect comparison needed -- + Screenshot documentation required -- + Complex multi-step flows -- + Full browser automation needed -- + Visual regression testing +- Pixel-perfect comparison needed +- Screenshot documentation required +- Complex multi-step flows +- Full browser automation needed +- Visual regression testing The feedback loop workflow: @@ -508,13 +509,14 @@ export const registry: ComponentRegistry = { **When to use json-render**: -- + You have a predefined component library -- + You need streaming UI generation -- + Visual complexity is limited (simple cards, forms, lists) -- + You want runtime validation of generated output -- - You need full design freedom -- - You're generating complex layouts with deep nesting -- - Your component library changes frequently +- You have a predefined component library +- You need streaming UI generation +- Visual complexity is limited (simple cards, forms, lists) +- You want runtime validation of generated output + +- You need full design freedom +- You're generating complex layouts with deep nesting +- Your component library changes frequently The catalog becomes your design contract. Change it, regenerate the system prompt, done. Predictability through constraints. diff --git a/tests/visual.spec.ts b/tests/visual.spec.ts index 714c8de..0273d18 100644 --- a/tests/visual.spec.ts +++ b/tests/visual.spec.ts @@ -4,6 +4,8 @@ const pages = [ { name: "homepage", path: "/" }, { name: "blog-post", path: "/writing/agentic-engineering-without-lock-in/" }, { name: "moving", path: "/moving" }, + { name: "talks", path: "/talks" }, + { name: "talk-post", path: "/talks/from-prompts-to-predictable-user-interfaces/" }, ]; for (const { name, path } of pages) { diff --git a/tests/visual.spec.ts-snapshots/homepage-dark-chromium-darwin.png b/tests/visual.spec.ts-snapshots/homepage-dark-chromium-darwin.png index 7268ff3899e3e8ef122ace50e39ea3bfbf70dcd9..76c2de622077d7f75f1d03df3cb721c6e363bc51 100644 GIT binary patch literal 162044 zcmdSBXH-+|x;ARXg2HP>x(bMNsSyH1MCpQbk*3nSbV7^R5Tu3@kuFVo?*ve!_udm) z=nx1HN+5g>uGh8q`qtTFoF99QaSlJo95czB&wR@LT=#Wdcl@3z%U(QBcmCM1V;AM+ 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zV*aO+XgBfb*-sO<+Ap2kF5({u^xTS8Wmn#e+|T=dU<&L2gKIo~Dmm5=gS&lI)ACt< z9=#SlV4jQ1>jY|Jl|Fulb)g=ov#igoz^eQ|N4s^pFmzP(xs;dHC0EqC2D@&gy zmL_Fy`l90YU`}l8QE~5}dZp=1!Dmfn2=&e;k%o}x!-C+pKBJLx53R`NDDnB z`OwFqE7yX721fJ^sw;T{sGus`_a%De+7j!OS?>6&-+F@9@K6$$1;mq9?etnFsx_rT z%v?TS{A$@uhTiw!0CleX}wR_B)5ne~?6I zqdsI2GEtv!C=PflA hfKzVWD7QC5PO9jOgiglZ1ZN-@&l~ Date: Tue, 27 Jan 2026 19:07:31 +0000 Subject: [PATCH 11/18] docs: humanize and polish talk post content --- ...-prompts-to-predictable-user-interfaces.md | 179 +++++++----------- 1 file changed, 72 insertions(+), 107 deletions(-) diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index 3b2ee8f..226b52d 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -6,31 +6,31 @@ pubDate: "January 25 2026" You give Claude the same prompt twice. You get two completely different UIs. -This isn't a bug—it's the nature of LLMs. Non-determinism is baked into how these models work. Same input, different output. Every time. For code generation, this creates a predictability problem: you can't trust what you'll get. One run generates clean component code. The next? A completely different structure with different naming, different patterns, maybe even a different framework approach. +That's not a bug—it's just how LLMs work. Non-determinism is baked into the core of these models. Same input, different output. Every single time. When you're generating code, this creates a massive predictability problem: you simply don't know what you're going to get. One run gives you clean, modular components. The next? A spaghetti mess with a totally different framework approach. -If you're building tools that use LLMs to generate UIs, you've probably felt this pain. You craft the perfect prompt. It works beautifully. You demo it. Then you run it again for a customer and it produces something entirely different. Not wrong, necessarily—just different. And different is the enemy of predictability. +If you’ve built anything with LLMs, you’ve felt this. You craft the "perfect" prompt, it works beautifully during your demo, and then you run it for a customer only for it to produce something completely unexpected. It’s not necessarily "wrong," it’s just _different_. And in software, "different" is usually the enemy of reliable. -The solution isn't better prompts. It's constraints. +The fix isn’t writing "better" prompts. It’s adding constraints. -## Constraints Enable Predictability +## Constraints Are a Feature, Not a Bug -Limited choices → predictable outputs. This is true for design systems, code architecture, and—crucially—AI-generated UIs. Instead of letting the LLM choose from infinite possibilities, we give it a small, well-defined set of options. +When you limit choices, you get predictable results. This is the secret sauce for design systems, code architecture, and—most importantly—AI-generated UIs. Instead of letting the LLM wander through infinite possibilities, we give it a small, high-quality map to follow. -I presented three techniques at FE.OPO #9 for building predictable AI UIs: +I recently spoke at FE.OPO #9 about three ways to tame this unpredictability: -1. **Design System Contracts (Figma MCP)**: Extract design truth directly from Figma, generate code + stories -2. **Visual Feedback Loops (agent-browser)**: Generate → Validate → Iterate pattern with natural language feedback -3. **Structured Output (json-render)**: AI → JSON → UI pipeline with component catalog as contract +1. **Figma MCP (Design System Contracts)**: Turning Figma into a machine-readable source of truth. +2. **agent-browser (Visual Feedback Loops)**: A "Generate → Validate → Iterate" cycle that actually sees what it built. +3. **json-render (Structured Output)**: Swapping free-form code for a strict component catalog. -Each adds different constraints to tame LLM unpredictability. Let's dig into how they work. +Let’s break down how they work. -## Technique #1: Figma MCP (Design System as Contract) +## 1. Figma MCP: Design as the Ultimate Contract -**The problem**: Traditional design handoff loses fidelity. +**The frustration**: The "telephone game" of design handoff. -Designer creates mockups → Dev interprets visuals → Implementation drifts from design. Colors slightly off. Spacing inconsistent. Typography mismatched. The gap between "what designer intended" and "what developer built" is where quality dies. +A designer builds a beautiful mockup, a developer interprets those visuals, and somewhere along the way, the implementation starts to drift. Colors are a hex code off. Spacing feels "weird." Typography doesn't quite match. This gap—the distance between intent and implementation—is where UI quality goes to die. -**The solution**: Extract design truth directly from Figma, use it as contract. +**The fix**: Stop interpreting. Start extracting. Figma MCP (Model Context Protocol) lets Claude read Figma files programmatically. Extract components, design tokens, variants—everything. Generate code that matches design exactly. No interpretation gap. @@ -207,42 +207,39 @@ export const PrimaryDisabledMedium: Story = { Storybook becomes living documentation that matches Figma exactly. Designers and developers reference the same truth. -**Key benefits**: +**Why this is a game-changer**: -- Design tokens as single source of truth -- Automated variant generation (no manual mapping) -- Living documentation via Storybook -- No interpretation gap between design and code -- Visual validation via `get_screenshot` (compare Figma to rendered) +- **One source of truth**: Design tokens aren't scattered across Slack messages and CSS files—they live in Figma and sync to code. +- **No more manual mapping**: Stop hand-coding 18 different button variants. Let the machine do the grunt work. +- **Sync by default**: When a designer changes a "Primary Blue," the code updates automatically. No "oops, I forgot to update the hex code" moments. +- **Visual proof**: You can actually compare a screenshot of the code against the original Figma node to ensure they’re identical. -**When to use Figma MCP**: +**When to reach for it**: -- Established design system exists in Figma -- Building component library -- Design-dev collaboration critical -- Need living documentation (Storybook) -- Want design as code workflow +- You already have a solid design system in Figma. +- You’re building a component library from scratch. +- The "gap" between design and dev is causing real friction. -- No design system (yet) -- Designs change too frequently (extraction overhead) -- Rate limits matter (Figma MCP has usage caps) +**When to skip it**: -The constraint here is the design system itself. Figma becomes the contract. Code generation follows Figma truth. Predictability through design authority. +- You don't have a design system yet (don't over-engineer a mess). +- Your designs are changing so fast that the extraction becomes a bottleneck. -## Technique #2: Feedback Loops (Visual Validation) +The real power here is the constraint. By making Figma the "boss," you aren't just guessing—you're following a contract. Predictability doesn't come from luck; it comes from authority. -**The problem**: LLMs can reason about code but can't verify visual output without rendering. +## 2. Visual Feedback Loops: Giving the AI Eyes -They understand CSS concepts ("flexbox centers items," "z-index controls stacking"). They know layout principles ("hero section at top," "footer at bottom"). But they can't predict actual browser rendering. Edge cases, browser quirks, visual bugs—invisible to the model. +**The blind spot**: LLMs are great at reasoning about code, but they’re completely blind to how that code actually _looks_. -You may have experienced this: +An LLM knows that `justify-center` should center an item. It understands that a footer belongs at the bottom. But it has no idea about browser quirks, z-index collisions, or parent container constraints. It’s writing code into a void. -- Prompt: "Center the login form" -- Code looks correct -- Renders off-center due to parent container constraints -- LLM had no way to know +We’ve all seen it: -**The solution**: Generate → Validate → Iterate. +- **Prompt**: "Center the login form." +- **Code**: Looks perfect on paper. +- **Reality**: It’s shoved into the top-left corner because of a CSS reset it didn't see coming. + +**The fix**: A "Generate → Validate → Iterate" loop. Build a feedback loop where the LLM generates code, you (or a tool) validate the rendered output, then feed results back for iteration. The constraint here is forcing validation before considering work "done." @@ -339,38 +336,27 @@ Returns full page snapshot (markdown + accessibility tree) plus base64 PNG scree **When to use agent-browser**: -- Validating layout/positioning -- Checking element visibility -- Testing interaction states (hover, focus) -- Iterating rapidly on visual design -- Context window preservation matters (agentic workflows) +- You need to validate layout, positioning, or basic visibility. +- You’re iterating fast and don't want to wait for heavy images to upload. +- You’re worried about blowing your context window budget. **When to use Playwright MCP**: -- Pixel-perfect comparison needed -- Screenshot documentation required -- Complex multi-step flows -- Full browser automation needed -- Visual regression testing - -The feedback loop workflow: +- You need pixel-perfect comparisons. +- You’re testing a complex, multi-step user flow. +- You need actual screenshots for documentation or regression testing. -1. Generate UI code -2. Render in browser (localhost) -3. Validate with agent-browser or Playwright -4. Read feedback (natural language or screenshot) -5. Identify issues -6. Fix code -7. Re-validate -8. Repeat until validation passes +The workflow is simple: Generate → Render → Validate → Fix. By forcing the AI to "look" at its work before it moves on, you kill off 90% of the visual bugs that usually haunt AI-generated UIs. For agentic workflows where Claude is autonomously iterating on designs, agent-browser preserves context budget for actual code changes instead of bloating it with images. -## Technique #3: json-render (Structured Output Format) +## 3. json-render: UI as Data, Not Just Code + +**The chaos**: Free-form code generation is a wild west. -**The problem**: Free-form code generation leads to inconsistent output. Ask Claude to "build a login form" and you'll get React one time, Vue another, different component structures each run, varying class names, inconsistent patterns. +Ask an LLM to "build a login form" and it might give you React today, Vue tomorrow, and a custom CSS-in-JS solution the day after. Even within the same framework, the naming conventions and component structures will shift every time you hit "Regenerate." -**The solution**: Don't generate code. Generate JSON. +**The fix**: Stop asking for code. Start asking for data. json-render is a library that implements this pattern: AI → JSONL → UI. Instead of asking the LLM to output React/Vue/whatever directly, you teach it to output JSON Lines patches describing the UI structure. A separate renderer applies those patches and maps them to your component library. @@ -505,70 +491,49 @@ export const registry: ComponentRegistry = { }; ``` -**Why this matters**: The LLM can't deviate. It knows exactly 3 components. It knows exactly what props they accept. It knows the exact format for patches. Limited choices → predictable outputs. +**Why this is a win**: The LLM literally _cannot_ deviate. It knows it has exactly three components. It knows exactly what props they take. It has a strict recipe to follow. Limited choices lead to predictable results, every single time. **When to use json-render**: -- You have a predefined component library -- You need streaming UI generation -- Visual complexity is limited (simple cards, forms, lists) -- You want runtime validation of generated output - -- You need full design freedom -- You're generating complex layouts with deep nesting -- Your component library changes frequently - -The catalog becomes your design contract. Change it, regenerate the system prompt, done. Predictability through constraints. +- You have a set component library and want the AI to just "assemble" UIs. +- You want that cool, progressive "streaming" UI effect. +- You need to validate the AI's output at runtime before it hits the user. -## Choosing the Right Tool +**When to skip it**: -These three techniques aren't mutually exclusive—they complement each other: +- You need total design freedom (e.g., custom landing pages). +- Your layout has deep, complex nesting that's hard to represent in a flat list. +- Your component library is constantly in flux. -**Figma MCP**: When design is the source of truth - -- Design system extraction -- Component library generation -- Design-dev handoff automation -- Living documentation - -**agent-browser**: When you need visual validation without bloating context - -- Layout/positioning checks -- Quick iteration cycles -- Agentic workflows (context budget critical) -- Semantic validation sufficient - -**json-render**: When you know component structure upfront +The catalog becomes your design contract. Change it, regenerate the system prompt, done. Predictability through constraints. -- Predefined UI patterns (dashboards, forms, cards) -- Streaming generation from prompts -- Limited visual complexity -- Runtime validation needed +## Which One Should You Use? -**Context budget matters**: For agentic workflows where Claude autonomously iterates, choose tools that preserve context: +These aren't competing tools; they’re different layers of the same stack. -- agent-browser (~1KB) over Playwright screenshots (~50KB) -- json-render patches (~2KB) over full component code (~20KB) -- Figma token extraction (~5KB) over full design files (~100KB+) +- **Figma MCP** is for when your design system is the law. If you need your generated UI to be a 1:1 match with your Figma files, this is your tool. +- **agent-browser** is for when speed and cost matter. It gives the AI "semantic vision" so it can fix its own mistakes without burning through your context window with massive screenshots. +- **json-render** is for when you need absolute consistency. It’s perfect for dashboards or internal tools where you want the AI to assemble pre-approved building blocks rather than inventing new ones. -More context = fewer iterations before hitting limits. Choose wisely. +**Pro-tip: Watch your context budget.** If you’re building agentic workflows where Claude is iterating autonomously, every byte counts. -## Key Takeaways +- **agent-browser** (~1KB) wins over **Playwright screenshots** (~50KB). +- **json-render patches** (~2KB) win over **full code generation** (~20KB). -Same prompt, different outputs—that's LLMs. But constraints enable predictability. +The more "expensive" your feedback is, the fewer chances the AI has to get it right. -**Design contracts (Figma MCP)**: Design system as source of truth. Extract tokens, components, variants. Generate code that matches exactly. No interpretation gap. +## The Bottom Line -**Feedback loops (agent-browser)**: LLMs can't predict visual output. Build validation into workflow. Generate → Validate → Iterate. Context budget matters. +Same prompt, different outputs—that's the nature of LLMs. But constraints change the game. -**Structured output (json-render)**: Limit component choices. Teach exact format. Get consistent results. AI → JSON → UI. +By using **design contracts** (Figma MCP), **feedback loops** (agent-browser), and **structured output** (json-render), you can turn a chaotic generator into a predictable engine. -These aren't silver bullets. Figma MCP has rate limits and extraction overhead. agent-browser's semantic validation can't catch pixel-level issues. json-render's limited component set won't work for complex designs. +These aren't silver bullets. Figma MCP has rate limits. agent-browser won't catch every pixel-perfect glitch. json-render isn't built for infinite design freedom. -But they all share one insight: **guardrails are your best friend with LLMs**. Constrain the problem space. Make choices finite. Build contracts the model can't violate. +But they all share one big truth: **guardrails are your best friend**. When you constrain the problem space and make choices finite, you don't just get better code—you get code you can actually trust. Predictability through constraints. Not despite them. --- -All code from this post available at [ubmit/from-prompts-to-predictable-user-interfaces](https://github.com/ubmit/from-prompts-to-predictable-user-interfaces). Slides, demos, full examples. +All code from this post available at [ubmit/from-prompts-to-predictable-user-interfaces](https://github.com/ubmit/from-prompts-to-predictable-user-interfaces). Slides, demos, and full examples are all there. From 532ad64840ad2ae2866bcf443820403f410cc78c Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Wed, 28 Jan 2026 17:58:44 +0000 Subject: [PATCH 12/18] chore: ignore .worktrees directory --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index fec31df..ca44c56 100644 --- a/.gitignore +++ b/.gitignore @@ -24,3 +24,4 @@ pnpm-debug.log* playwright-report/ test-results/ tests/visual.spec.ts-snapshots/ +.worktrees/ From f43881b4fe21c768dcbd25d662d321c47d944ab4 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Wed, 28 Jan 2026 19:32:22 +0000 Subject: [PATCH 13/18] chore: humanize from prompts to UIs talk --- ...-prompts-to-predictable-user-interfaces.md | 154 +++++++----------- 1 file changed, 63 insertions(+), 91 deletions(-) diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index 226b52d..1bc2dff 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -4,37 +4,37 @@ description: "Three techniques for building reliable AI-generated UIs: structure pubDate: "January 25 2026" --- -You give Claude the same prompt twice. You get two completely different UIs. +You give a coding agent the same prompt twice. You get two completely different UIs. -That's not a bug—it's just how LLMs work. Non-determinism is baked into the core of these models. Same input, different output. Every single time. When you're generating code, this creates a massive predictability problem: you simply don't know what you're going to get. One run gives you clean, modular components. The next? A spaghetti mess with a totally different framework approach. +That's not a bug, it's just how LLMs work. Non-determinism is baked into these models. Same input, different output. Every time. When you're generating code, this creates a predictability problem: you don't know what you're going to get. One run gives you clean, modular components. The next? A spaghetti mess with a totally different framework approach. -If you’ve built anything with LLMs, you’ve felt this. You craft the "perfect" prompt, it works beautifully during your demo, and then you run it for a customer only for it to produce something completely unexpected. It’s not necessarily "wrong," it’s just _different_. And in software, "different" is usually the enemy of reliable. +If you've built anything with LLMs, you've felt this. You craft the "perfect" prompt, it works during your demo, then you run it for a customer and it produces something completely different. Not necessarily wrong, just _different_. And in software, different usually means unreliable. -The fix isn’t writing "better" prompts. It’s adding constraints. +The fix isn't writing "better" prompts. It's adding constraints. -## Constraints Are a Feature, Not a Bug +## Constraints are features -When you limit choices, you get predictable results. This is the secret sauce for design systems, code architecture, and—most importantly—AI-generated UIs. Instead of letting the LLM wander through infinite possibilities, we give it a small, high-quality map to follow. +When you limit choices, you get predictable results. This works for design systems, code architecture, and AI-generated UIs. Instead of letting the LLM wander through infinite possibilities, give it a small, well-defined map to follow. -I recently spoke at FE.OPO #9 about three ways to tame this unpredictability: +I spoke at [FE.OPO #9](https://www.youtube.com/live/omoDqK2kWKU?si=zsB14TzXFnZyJfKe&t=429) about three ways to tame this unpredictability: -1. **Figma MCP (Design System Contracts)**: Turning Figma into a machine-readable source of truth. -2. **agent-browser (Visual Feedback Loops)**: A "Generate → Validate → Iterate" cycle that actually sees what it built. -3. **json-render (Structured Output)**: Swapping free-form code for a strict component catalog. +1. **Figma MCP (Design System Contracts)**: Turning Figma into a machine-readable source of truth. +2. **agent-browser (Visual Feedback Loops)**: A "Generate → Validate → Iterate" cycle that actually sees what it built. +3. **json-render (Structured Output)**: Swapping free-form code for a strict component catalog. -Let’s break down how they work. +Let's break down how they work. -## 1. Figma MCP: Design as the Ultimate Contract +## 1. Figma MCP: Design as contract **The frustration**: The "telephone game" of design handoff. -A designer builds a beautiful mockup, a developer interprets those visuals, and somewhere along the way, the implementation starts to drift. Colors are a hex code off. Spacing feels "weird." Typography doesn't quite match. This gap—the distance between intent and implementation—is where UI quality goes to die. +A designer builds a mockup, a developer interprets the visuals, and somewhere the implementation drifts. Colors are a hex code off. Spacing feels wrong. Typography doesn't quite match. This gap between intent and implementation is where UI quality dies. **The fix**: Stop interpreting. Start extracting. -Figma MCP (Model Context Protocol) lets Claude read Figma files programmatically. Extract components, design tokens, variants—everything. Generate code that matches design exactly. No interpretation gap. +Figma MCP (Model Context Protocol) lets an agent read Figma files programmatically. Extract components, design tokens, variants. Generate code that matches design exactly. No interpretation gap. -Here's the workflow: +The workflow: ```mermaid graph TD @@ -205,47 +205,40 @@ export const PrimaryDisabledMedium: Story = { // ...15 more variants ``` -Storybook becomes living documentation that matches Figma exactly. Designers and developers reference the same truth. +Storybook becomes documentation that matches Figma exactly. Designers and developers reference the same source. -**Why this is a game-changer**: +**Why this works**: -- **One source of truth**: Design tokens aren't scattered across Slack messages and CSS files—they live in Figma and sync to code. -- **No more manual mapping**: Stop hand-coding 18 different button variants. Let the machine do the grunt work. -- **Sync by default**: When a designer changes a "Primary Blue," the code updates automatically. No "oops, I forgot to update the hex code" moments. -- **Visual proof**: You can actually compare a screenshot of the code against the original Figma node to ensure they’re identical. +- Design tokens aren't scattered across Slack messages and CSS files. They live in Figma and sync to code. +- Stop hand-coding 18 button variants. Let the machine do the grunt work. +- When a designer changes "Primary Blue," the code updates automatically. +- You can compare a screenshot of the code against the original Figma node to verify they match. -**When to reach for it**: +**When to use it**: You have a solid design system in Figma. You're building a component library. The gap between design and dev is causing friction. -- You already have a solid design system in Figma. -- You’re building a component library from scratch. -- The "gap" between design and dev is causing real friction. +**When to skip it**: You don't have a design system yet. Your designs are changing so fast that extraction becomes a bottleneck. -**When to skip it**: +The power is in the constraint. Figma becomes the boss. You're not guessing, you're following a contract. -- You don't have a design system yet (don't over-engineer a mess). -- Your designs are changing so fast that the extraction becomes a bottleneck. +## 2. Visual feedback loops: Giving the AI eyes -The real power here is the constraint. By making Figma the "boss," you aren't just guessing—you're following a contract. Predictability doesn't come from luck; it comes from authority. +**The blind spot**: LLMs reason about code well, but they're blind to how that code actually _looks_. -## 2. Visual Feedback Loops: Giving the AI Eyes +An LLM knows `justify-center` should center an item. It understands a footer belongs at the bottom. But it has no idea about browser quirks, z-index collisions, or parent container constraints. It's writing code into a void. -**The blind spot**: LLMs are great at reasoning about code, but they’re completely blind to how that code actually _looks_. - -An LLM knows that `justify-center` should center an item. It understands that a footer belongs at the bottom. But it has no idea about browser quirks, z-index collisions, or parent container constraints. It’s writing code into a void. - -We’ve all seen it: +We've all seen it: - **Prompt**: "Center the login form." - **Code**: Looks perfect on paper. -- **Reality**: It’s shoved into the top-left corner because of a CSS reset it didn't see coming. +- **Reality**: Shoved into the top-left corner because of a CSS reset it didn't see coming. **The fix**: A "Generate → Validate → Iterate" loop. -Build a feedback loop where the LLM generates code, you (or a tool) validate the rendered output, then feed results back for iteration. The constraint here is forcing validation before considering work "done." +Build a feedback loop: the LLM generates code, you (or a tool) validate the rendered output, then feed results back for iteration. The constraint is forcing validation before considering work done. Two tools enable this: **agent-browser** (natural language) and **Playwright MCP** (screenshots). Different tradeoffs. -Here's a login form I built for the demo: +A login form I built for the demo: ```typescript // examples/feedback-loop-demo/app/page.tsx @@ -306,12 +299,7 @@ agent-browser returns natural language: Overall: Form displays correctly with good UX ``` -This output: - -- Validates all key elements -- Identifies improvement opportunity -- Uses ~500 bytes vs ~50KB for screenshots -- Enables 100+ iterations within typical context window +This output validates all key elements, identifies an improvement opportunity, and uses ~500 bytes vs ~50KB for screenshots. That means 100+ iterations within a typical context window. Compare to **Playwright MCP**: @@ -324,7 +312,7 @@ mcp__playwright__browser_take_screenshot({ filename: "login-form.png" }); Returns full page snapshot (markdown + accessibility tree) plus base64 PNG screenshot. ~50KB+ added to context window per screenshot. -**Context budget comparison:** +Context budget comparison: | Aspect | agent-browser | Playwright MCP | | --------------- | ------------------- | ------------------------ | @@ -334,37 +322,29 @@ Returns full page snapshot (markdown + accessibility tree) plus base64 PNG scree | Iteration speed | Fast (text-based) | Slower (image-heavy) | | Precision | Semantic validation | Pixel-perfect validation | -**When to use agent-browser**: - -- You need to validate layout, positioning, or basic visibility. -- You’re iterating fast and don't want to wait for heavy images to upload. -- You’re worried about blowing your context window budget. +**When to use agent-browser**: Validating layout, positioning, or basic visibility. Iterating fast. Watching your context window budget. -**When to use Playwright MCP**: +**When to use Playwright MCP**: Pixel-perfect comparisons. Complex multi-step user flows. Screenshots for documentation or regression testing. -- You need pixel-perfect comparisons. -- You’re testing a complex, multi-step user flow. -- You need actual screenshots for documentation or regression testing. +The workflow: Generate → Render → Validate → Fix. Forcing the AI to "look" at its work before moving on kills 90% of visual bugs that haunt AI-generated UIs. -The workflow is simple: Generate → Render → Validate → Fix. By forcing the AI to "look" at its work before it moves on, you kill off 90% of the visual bugs that usually haunt AI-generated UIs. +For agentic workflows where an agent iterates autonomously, agent-browser preserves context budget for code changes instead of bloating it with images. -For agentic workflows where Claude is autonomously iterating on designs, agent-browser preserves context budget for actual code changes instead of bloating it with images. - -## 3. json-render: UI as Data, Not Just Code +## 3. json-render: UI as data **The chaos**: Free-form code generation is a wild west. -Ask an LLM to "build a login form" and it might give you React today, Vue tomorrow, and a custom CSS-in-JS solution the day after. Even within the same framework, the naming conventions and component structures will shift every time you hit "Regenerate." +Even within the same framework, naming conventions and component structures shift every time you hit "Regenerate." -**The fix**: Stop asking for code. Start asking for data. +**The fix**: Stop asking for code. Ask for data. -json-render is a library that implements this pattern: AI → JSONL → UI. Instead of asking the LLM to output React/Vue/whatever directly, you teach it to output JSON Lines patches describing the UI structure. A separate renderer applies those patches and maps them to your component library. +json-render implements this pattern: AI → JSONL → UI. Instead of asking the LLM to output React/Vue/whatever directly, you teach it to output JSON Lines patches describing the UI structure. A separate renderer applies those patches and maps them to your component library. -Here's the architecture: +The architecture: ```mermaid graph TD - A[User prompt] --> B[Claude API with system prompt teaching JSONL format] + A[User prompt] --> B[A LLM API with system prompt teaching JSONL format] B --> C[JSONL patches streamed] C --> D[useUIStream hook parses patches] D --> E[Renderer applies patches to tree] @@ -411,7 +391,7 @@ export const catalog = createCatalog({ This catalog serves two purposes: -1. Generates the system prompt teaching Claude the JSONL format +1. Generates the system prompt teaching the LLM the JSONL format 2. Validates runtime props via `@json-render/core` The system prompt becomes your contract: @@ -462,7 +442,7 @@ Notice the constraints: - Children are string keys, not objects - Specific operations (set, add) -When you prompt "Create a welcome card with a button," Claude generates: +When you prompt "Create a welcome card with a button," the model generates: ```jsonl {"op":"set","path":"/root","value":"welcome-card"} @@ -491,49 +471,41 @@ export const registry: ComponentRegistry = { }; ``` -**Why this is a win**: The LLM literally _cannot_ deviate. It knows it has exactly three components. It knows exactly what props they take. It has a strict recipe to follow. Limited choices lead to predictable results, every single time. - -**When to use json-render**: - -- You have a set component library and want the AI to just "assemble" UIs. -- You want that cool, progressive "streaming" UI effect. -- You need to validate the AI's output at runtime before it hits the user. +**Why this works**: The LLM _cannot_ deviate. It knows it has exactly three components. It knows what props they take. It has a strict recipe to follow. Limited choices, predictable results. -**When to skip it**: +**When to use json-render**: You have a set component library and want the AI to assemble UIs. You want progressive streaming. You need to validate output at runtime before it hits the user. -- You need total design freedom (e.g., custom landing pages). -- Your layout has deep, complex nesting that's hard to represent in a flat list. -- Your component library is constantly in flux. +**When to skip it**: You need total design freedom (custom landing pages). Your layout has deep nesting that's hard to represent flat. Your component library is constantly changing. -The catalog becomes your design contract. Change it, regenerate the system prompt, done. Predictability through constraints. +The catalog is your design contract. Change it, regenerate the system prompt, done. -## Which One Should You Use? +## Which one should you use? -These aren't competing tools; they’re different layers of the same stack. +These aren't competing tools. They're different layers of the same stack. -- **Figma MCP** is for when your design system is the law. If you need your generated UI to be a 1:1 match with your Figma files, this is your tool. -- **agent-browser** is for when speed and cost matter. It gives the AI "semantic vision" so it can fix its own mistakes without burning through your context window with massive screenshots. -- **json-render** is for when you need absolute consistency. It’s perfect for dashboards or internal tools where you want the AI to assemble pre-approved building blocks rather than inventing new ones. +- **Figma MCP**: Your design system is law. You need 1:1 match with Figma files. +- **agent-browser**: Speed and cost matter. The AI gets "semantic vision" to fix its own mistakes without burning context on screenshots. +- **json-render**: You need absolute consistency. Dashboards or internal tools where the AI assembles pre-approved building blocks. -**Pro-tip: Watch your context budget.** If you’re building agentic workflows where Claude is iterating autonomously, every byte counts. +**Watch your context budget.** If the agent is iterating autonomously, every byte counts. -- **agent-browser** (~1KB) wins over **Playwright screenshots** (~50KB). -- **json-render patches** (~2KB) win over **full code generation** (~20KB). +- agent-browser (~1KB) beats Playwright screenshots (~50KB) +- json-render patches (~2KB) beat full code generation (~20KB) -The more "expensive" your feedback is, the fewer chances the AI has to get it right. +The more expensive your feedback, the fewer chances the AI gets to iterate. -## The Bottom Line +## The bottom line -Same prompt, different outputs—that's the nature of LLMs. But constraints change the game. +Same prompt, different outputs. That's how LLMs work. Constraints change the game. -By using **design contracts** (Figma MCP), **feedback loops** (agent-browser), and **structured output** (json-render), you can turn a chaotic generator into a predictable engine. +Design contracts (Figma MCP), feedback loops (agent-browser), and structured output (json-render) turn a chaotic generator into something predictable. These aren't silver bullets. Figma MCP has rate limits. agent-browser won't catch every pixel-perfect glitch. json-render isn't built for infinite design freedom. -But they all share one big truth: **guardrails are your best friend**. When you constrain the problem space and make choices finite, you don't just get better code—you get code you can actually trust. +But guardrails work. When you constrain the problem space and make choices finite, you get code you can trust. Predictability through constraints. Not despite them. --- -All code from this post available at [ubmit/from-prompts-to-predictable-user-interfaces](https://github.com/ubmit/from-prompts-to-predictable-user-interfaces). Slides, demos, and full examples are all there. +All code from this post is available at [ubmit/from-prompts-to-predictable-user-interfaces](https://github.com/ubmit/from-prompts-to-predictable-user-interfaces). Slides, demos, and full examples are all there. From 5968efdd95c9bc0a00f39a55dd0254875fdee85e Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Wed, 28 Jan 2026 18:00:04 +0000 Subject: [PATCH 14/18] fix: switch to remark-mermaidjs for diagram rendering rehype-mermaid runs after Shiki syntax highlighting, causing Mermaid code blocks to be treated as regular code instead of diagrams. remark-mermaidjs runs earlier in the pipeline (on markdown AST) before Shiki, properly converting diagrams to SVG. --- astro.config.mjs | 4 ++-- package.json | 1 + pnpm-lock.yaml | 26 +++++++++++++++++++++++--- 3 files changed, 26 insertions(+), 5 deletions(-) diff --git a/astro.config.mjs b/astro.config.mjs index ad744ec..5feee74 100644 --- a/astro.config.mjs +++ b/astro.config.mjs @@ -1,7 +1,7 @@ import { defineConfig } from "astro/config"; import mdx from "@astrojs/mdx"; import tailwindcss from "@tailwindcss/vite"; -import rehypeMermaid from "rehype-mermaid"; +import remarkMermaid from "remark-mermaidjs"; import sitemap from "@astrojs/sitemap"; @@ -15,7 +15,7 @@ export default defineConfig({ dark: "catppuccin-mocha", }, }, - rehypePlugins: [[rehypeMermaid, { strategy: "inline-svg", dark: true }]], + remarkPlugins: [[remarkMermaid, { launchOptions: { args: ["--no-sandbox"] } }]], }, vite: { plugins: [tailwindcss()], diff --git a/package.json b/package.json index 3b3fe71..7676633 100644 --- a/package.json +++ b/package.json @@ -27,6 +27,7 @@ "chart.js": "^4.5.1", "clsx": "^2.1.0", "rehype-mermaid": "^3.0.0", + "remark-mermaidjs": "^7.0.0", "tailwind-merge": "^3.4.0", "typescript": "^5.9.3" }, diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 48ef90b..f3e6c69 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -35,12 +35,12 @@ importers: clsx: specifier: ^2.1.0 version: 2.1.1 - mermaid: - specifier: ^11.12.2 - version: 11.12.2 rehype-mermaid: specifier: ^3.0.0 version: 3.0.0(playwright@1.57.0) + remark-mermaidjs: + specifier: ^7.0.0 + version: 7.0.0(playwright@1.57.0) tailwind-merge: specifier: ^3.4.0 version: 3.4.0 @@ -2376,6 +2376,15 @@ packages: remark-mdx@3.1.1: resolution: {integrity: sha512-Pjj2IYlUY3+D8x00UJsIOg5BEvfMyeI+2uLPn9VO9Wg4MEtN/VTIq2NEJQfde9PnX15KgtHyl9S0BcTnWrIuWg==} + remark-mermaidjs@7.0.0: + resolution: {integrity: sha512-daW4LzAX1q3//SdRsTQ0ELyAXdy0yvJJQ2S0he5ddhZmnt8cyTv3QN536ezMY/OY4a3XGDMz+NU1SOSQ5xcYAA==} + deprecated: Use rehype-mermaid instead + peerDependencies: + playwright: '1' + peerDependenciesMeta: + playwright: + optional: true + remark-parse@11.0.0: resolution: {integrity: sha512-FCxlKLNGknS5ba/1lmpYijMUzX2esxW5xQqjWxw2eHFfS2MSdaHVINFmhjo+qN1WhZhNimq0dZATN9pH0IDrpA==} @@ -5587,6 +5596,17 @@ snapshots: transitivePeerDependencies: - supports-color + remark-mermaidjs@7.0.0(playwright@1.57.0): + dependencies: + '@types/mdast': 4.0.4 + hast-util-from-html-isomorphic: 2.0.0 + mermaid-isomorphic: 3.0.4(playwright@1.57.0) + unified: 11.0.5 + unist-util-visit-parents: 6.0.2 + vfile: 6.0.3 + optionalDependencies: + playwright: 1.57.0 + remark-parse@11.0.0: dependencies: '@types/mdast': 4.0.4 From 682cf94d47396a3ca5ee874ab5a2bd780f253721 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Wed, 28 Jan 2026 18:06:53 +0000 Subject: [PATCH 15/18] feat: add light/dark mode theming and center Mermaid diagrams - Center diagrams using flexbox on parent paragraph - Add light mode colors using gray-200 fills with gray-700 strokes - Add dark mode colors using gray-300 fills with gray-600 strokes - Text uses gray-1200 (light) and gray-1100 (dark) for readability - Diagrams now adapt to system color scheme preference --- src/styles/base.css | 70 +++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 64 insertions(+), 6 deletions(-) diff --git a/src/styles/base.css b/src/styles/base.css index 9f4b420..93f523b 100644 --- a/src/styles/base.css +++ b/src/styles/base.css @@ -64,16 +64,45 @@ font-weight: var(--font-weight-light); } - .prose .mermaid { - margin: var(--spacing-6) 0; + /* Mermaid diagrams */ + .prose p:has(svg[id^="mermaid-"]) { display: flex; justify-content: center; + margin: var(--spacing-8) 0; } - .prose pre.mermaid { - background: transparent; - border: none; - padding: 0; + .prose svg[id^="mermaid-"] { + max-width: 100%; + height: auto; + } + + /* Mermaid light mode (default) - !important needed to override inline SVG styles */ + .prose svg[id^="mermaid-"] .node rect, + .prose svg[id^="mermaid-"] .node circle, + .prose svg[id^="mermaid-"] .node ellipse, + .prose svg[id^="mermaid-"] .node polygon { + fill: var(--color-gray-200) !important; + stroke: var(--color-gray-700) !important; + } + + .prose svg[id^="mermaid-"] .label, + .prose svg[id^="mermaid-"] .label text, + .prose svg[id^="mermaid-"] .nodeLabel, + .prose svg[id^="mermaid-"] .nodeLabel p, + .prose svg[id^="mermaid-"] .edgeLabel { + color: var(--color-gray-1200) !important; + fill: var(--color-gray-1200) !important; + } + + .prose svg[id^="mermaid-"] .edgePath .path, + .prose svg[id^="mermaid-"] .flowchart-link { + stroke: var(--color-gray-800) !important; + } + + .prose svg[id^="mermaid-"] .arrowheadPath, + .prose svg[id^="mermaid-"] .marker { + fill: var(--color-gray-800) !important; + stroke: var(--color-gray-800) !important; } } @@ -124,4 +153,33 @@ html { color: var(--shiki-dark) !important; background-color: var(--shiki-dark-bg) !important; } + + /* Mermaid dark mode */ + .prose svg[id^="mermaid-"] .node rect, + .prose svg[id^="mermaid-"] .node circle, + .prose svg[id^="mermaid-"] .node ellipse, + .prose svg[id^="mermaid-"] .node polygon { + fill: var(--color-gray-300) !important; + stroke: var(--color-gray-700) !important; + } + + .prose svg[id^="mermaid-"] .label, + .prose svg[id^="mermaid-"] .label text, + .prose svg[id^="mermaid-"] .nodeLabel, + .prose svg[id^="mermaid-"] .nodeLabel p, + .prose svg[id^="mermaid-"] .edgeLabel { + color: var(--color-gray-1100) !important; + fill: var(--color-gray-1100) !important; + } + + .prose svg[id^="mermaid-"] .edgePath .path, + .prose svg[id^="mermaid-"] .flowchart-link { + stroke: var(--color-gray-600) !important; + } + + .prose svg[id^="mermaid-"] .arrowheadPath, + .prose svg[id^="mermaid-"] .marker { + fill: var(--color-gray-600) !important; + stroke: var(--color-gray-600) !important; + } } From 0cd0823382d892e672c8e8f40ef035f8be043cd5 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Wed, 28 Jan 2026 19:55:49 +0000 Subject: [PATCH 16/18] chore: add final touches --- ...-prompts-to-predictable-user-interfaces.md | 97 +++++++++++++++---- 1 file changed, 77 insertions(+), 20 deletions(-) diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index 1bc2dff..18a5005 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -1,7 +1,7 @@ --- title: "From Prompts to Predictable User Interfaces" description: "Three techniques for building reliable AI-generated UIs: structured output formats, feedback loops, and design system contracts." -pubDate: "January 25 2026" +pubDate: "January 22 2026" --- You give a coding agent the same prompt twice. You get two completely different UIs. @@ -42,7 +42,7 @@ graph TD A --> C[get_variable_defs extract design tokens] B --> D[Component Code + Design Tokens] C --> D - D --> E[React components with Base UI + Tailwind] + D --> E[React components with Base UI + Tailwind CSS] E --> F[Storybook stories one per variant] ``` @@ -53,6 +53,9 @@ graph TD mcp__figma__get_variable_defs(fileKey, nodeId); // Generates tokens.ts: + +// Design tokens extracted from Figma Simple Design System +// https://www.figma.com/design/dHqyIhebbTxZSzOun8aAaA/Simple-Design-System--Community- export const tokens = { color: { text: { @@ -94,6 +97,46 @@ export const tokens = { } as const; ``` +If you are using Tailwind CSS you could easily ask your coding agent to convert this file to Tailwind's V4 CSS configuration: + +```css +/* don't worry about the variable names */ +/* they are bad, but that's just an example */ +@import "tailwindcss"; + +@theme { + /* Colors - Text */ + --color-brand-on-brand: #f5f5f5; + --color-default: #1e1e1e; + --color-subtle: #666666; + --color-disabled: #a3a3a3; + + /* Colors - Background */ + --color-bg-brand: #2c2c2c; + --color-bg-brand-hover: #1e1e1e; + --color-bg-neutral: #e3e3e3; + --color-bg-neutral-hover: #cdcdcd; + --color-bg-subtle-hover: #f5f5f5; + --color-bg-disabled: #e5e5e5; + + /* Colors - Border */ + --color-border-primary: #2c2c2c; + --color-border-neutral: #767676; + --color-border-subtle: #d9d9d9; + --color-border-disabled: #b3b3b3; + + /* Typography */ + --font-body: "Inter", sans-serif; + + /* Border Radius */ + --radius-md: 8px; + + /* Spacing */ + --spacing-sm: 8px; + --spacing-md: 12px; +} +``` + These become your single source of truth. Change Figma variable, re-extract, update tokens.ts. Design stays in sync with code. **Step 2: Extract component structure** @@ -101,17 +144,19 @@ These become your single source of truth. Change Figma variable, re-extract, upd ```typescript // Extract Button component mcp__figma__get_design_context(fileKey, buttonNodeId); - -// Returns React component code with Tailwind ``` -For a Button component with 18 variants (3 visual styles × 3 states × 2 sizes), Figma MCP extracts all of them. You map to accessible primitives: - -```typescript -// examples/design-system-demo/src/components/button.tsx +```tsx +// Returns React component code with Base UI + Tailwind CSS: +import * as React from "react"; import { Button as BaseButton } from "@base-ui/react/button"; import { cva, type VariantProps } from "class-variance-authority"; +export interface ButtonProps + extends + Omit, "disabled">, + VariantProps {} + const buttonVariants = cva( "inline-flex items-center justify-center gap-2 border font-body font-normal leading-none rounded-md transition-colors", { @@ -155,7 +200,14 @@ const buttonVariants = cva( }, ); -export function Button({ className, variant, size, children, disabled, ...props }: ButtonProps) { +export function Button({ + className, + variant, + size, + children, + disabled, + ...props +}: ButtonProps) { return (

-
-

+
+

Welcome back

-

+

Sign in to your account to continue

-
{/* password, checkbox, button... */} @@ -344,11 +401,11 @@ The architecture: ```mermaid graph TD - A[User prompt] --> B[A LLM API with system prompt teaching JSONL format] + A[User prompt] --> B[LLM receives system prompt teaching JSONL format] B --> C[JSONL patches streamed] C --> D[useUIStream hook parses patches] D --> E[Renderer applies patches to tree] - E --> F[Component registry maps types → React components] + E --> F[Component registry maps types to React components] ``` The key constraint is the **component catalog**. You define available components upfront with Zod schemas: @@ -453,12 +510,12 @@ When you prompt "Create a welcome card with a button," the model generates: These patches stream to the frontend. The `useUIStream` hook parses them. The `Renderer` component applies them to a tree structure. Finally, the component registry maps types to React implementations: -```typescript +```tsx export const registry: ComponentRegistry = { Card: ({ element, children }) => ( -
+
-

{element.props.title}

+

{element.props.title}

{element.props.description && (

{element.props.description}

)} From 6e7166f8d79e144c8d051e161375dd4a1293b895 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Wed, 28 Jan 2026 20:02:24 +0000 Subject: [PATCH 17/18] chore: trigger CI From a740f6a4aeb982acedabe94b19132ae0a13c9fa2 Mon Sep 17 00:00:00 2001 From: Guilherme de Andrade Date: Thu, 29 Jan 2026 01:11:26 +0000 Subject: [PATCH 18/18] fix: remove mermaid diagrams --- astro.config.mjs | 4 +- package-lock.json | 9472 ----------------- package.json | 2 - pnpm-lock.yaml | 984 -- ...-prompts-to-predictable-user-interfaces.md | 23 - src/styles/base.css | 41 - 6 files changed, 1 insertion(+), 10525 deletions(-) delete mode 100644 package-lock.json diff --git a/astro.config.mjs b/astro.config.mjs index 5feee74..b18a1d9 100644 --- a/astro.config.mjs +++ b/astro.config.mjs @@ -1,7 +1,6 @@ import { defineConfig } from "astro/config"; import mdx from "@astrojs/mdx"; import tailwindcss from "@tailwindcss/vite"; -import remarkMermaid from "remark-mermaidjs"; import sitemap from "@astrojs/sitemap"; @@ -15,7 +14,6 @@ export default defineConfig({ dark: "catppuccin-mocha", }, }, - remarkPlugins: [[remarkMermaid, { launchOptions: { args: ["--no-sandbox"] } }]], }, vite: { plugins: [tailwindcss()], @@ -40,4 +38,4 @@ export default defineConfig({ "/use-an-object-instead-of-a-switch/": "/writing/use-an-object-instead-of-a-switch/", }, -}); \ No newline at end of file +}); diff --git a/package-lock.json b/package-lock.json deleted file mode 100644 index 305bad4..0000000 --- a/package-lock.json +++ /dev/null @@ -1,9472 +0,0 @@ -{ - "name": "ubmit-dev", - "version": "0.0.1", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "ubmit-dev", - "version": "0.0.1", - "dependencies": { - "@astrojs/check": "^0.9.6", - "@astrojs/mdx": "^4.3.13", - "@astrojs/rss": "^4.0.15", - "@astrojs/sitemap": "^3.7.0", - "@fontsource/work-sans": "^5.0.18", - "@radix-ui/colors": "^3.0.0", - "astro": "^5.16.14", - "chart.js": "^4.5.1", - "clsx": "^2.1.0", - "mermaid": "^11.12.2", - "rehype-mermaid": "^3.0.0", - "tailwind-merge": "^3.4.0", - "typescript": "^5.9.3" - }, - 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lodash-es@4.17.21: {} - - lodash-es@4.17.23: {} - lodash@4.17.21: {} longest-streak@3.1.0: {} @@ -4854,8 +3974,6 @@ snapshots: markdown-table@3.0.4: {} - marked@16.4.2: {} - mdast-util-definitions@6.0.0: dependencies: '@types/mdast': 4.0.4 @@ -5031,36 +4149,6 @@ snapshots: merge2@1.4.1: {} - mermaid-isomorphic@3.0.4(playwright@1.57.0): - dependencies: - '@fortawesome/fontawesome-free': 6.7.2 - mermaid: 11.12.2 - optionalDependencies: - playwright: 1.57.0 - - mermaid@11.12.2: - dependencies: - '@braintree/sanitize-url': 7.1.1 - '@iconify/utils': 3.1.0 - '@mermaid-js/parser': 0.6.3 - '@types/d3': 7.4.3 - cytoscape: 3.33.1 - cytoscape-cose-bilkent: 4.1.0(cytoscape@3.33.1) - cytoscape-fcose: 2.2.0(cytoscape@3.33.1) - d3: 7.9.0 - d3-sankey: 0.12.3 - dagre-d3-es: 7.0.13 - dayjs: 1.11.19 - dompurify: 3.3.1 - katex: 0.16.27 - khroma: 2.1.0 - lodash-es: 4.17.23 - marked: 16.4.2 - roughjs: 4.6.6 - stylis: 4.3.6 - ts-dedent: 2.2.0 - uuid: 11.1.0 - micromark-core-commonmark@2.0.3: dependencies: decode-named-character-reference: 1.3.0 @@ -5330,15 +4418,6 @@ snapshots: braces: 3.0.3 picomatch: 2.3.1 - mini-svg-data-uri@1.4.4: {} - - mlly@1.8.0: - dependencies: - acorn: 8.15.0 - pathe: 2.0.3 - pkg-types: 1.3.1 - ufo: 1.6.3 - mrmime@2.0.1: {} ms@2.1.3: {} @@ -5417,10 +4496,6 @@ snapshots: path-browserify@1.0.1: {} - path-data-parser@0.1.0: {} - - pathe@2.0.3: {} - piccolore@0.1.3: {} picocolors@1.1.1: {} @@ -5429,12 +4504,6 @@ snapshots: picomatch@4.0.3: {} - pkg-types@1.3.1: - dependencies: - confbox: 0.1.8 - mlly: 1.8.0 - pathe: 2.0.3 - playwright-core@1.57.0: {} playwright@1.57.0: @@ -5443,13 +4512,6 @@ snapshots: optionalDependencies: fsevents: 2.3.2 - points-on-curve@0.2.0: {} - - points-on-path@0.2.1: - dependencies: - path-data-parser: 0.1.0 - points-on-curve: 0.2.0 - postcss-selector-parser@6.0.10: dependencies: cssesc: 3.0.0 @@ -5531,20 +4593,6 @@ snapshots: dependencies: regex-utilities: 2.3.0 - rehype-mermaid@3.0.0(playwright@1.57.0): - dependencies: - '@types/hast': 3.0.4 - hast-util-from-html-isomorphic: 2.0.0 - hast-util-to-text: 4.0.2 - mermaid-isomorphic: 3.0.4(playwright@1.57.0) - mini-svg-data-uri: 1.4.4 - space-separated-tokens: 2.0.2 - unified: 11.0.5 - unist-util-visit-parents: 6.0.2 - vfile: 6.0.3 - optionalDependencies: - playwright: 1.57.0 - rehype-parse@9.0.1: dependencies: '@types/hast': 3.0.4 @@ -5596,17 +4644,6 @@ snapshots: transitivePeerDependencies: - supports-color - remark-mermaidjs@7.0.0(playwright@1.57.0): - dependencies: - '@types/mdast': 4.0.4 - hast-util-from-html-isomorphic: 2.0.0 - mermaid-isomorphic: 3.0.4(playwright@1.57.0) - unified: 11.0.5 - unist-util-visit-parents: 6.0.2 - vfile: 6.0.3 - optionalDependencies: - playwright: 1.57.0 - remark-parse@11.0.0: dependencies: '@types/mdast': 4.0.4 @@ -5672,8 +4709,6 @@ snapshots: reusify@1.1.0: {} - robust-predicates@3.0.2: {} - rollup@4.56.0: dependencies: '@types/estree': 1.0.8 @@ -5705,23 +4740,12 @@ snapshots: '@rollup/rollup-win32-x64-msvc': 4.56.0 fsevents: 2.3.3 - roughjs@4.6.6: - dependencies: - hachure-fill: 0.5.2 - path-data-parser: 0.1.0 - points-on-curve: 0.2.0 - points-on-path: 0.2.1 - run-parallel@1.2.0: dependencies: queue-microtask: 1.2.3 - rw@1.3.3: {} - s.color@0.0.15: {} - safer-buffer@2.1.2: {} - sass-formatter@0.7.9: dependencies: suf-log: 2.5.3 @@ -5827,8 +4851,6 @@ snapshots: dependencies: inline-style-parser: 0.2.7 - stylis@4.3.6: {} - suf-log@2.5.3: dependencies: s.color: 0.0.15 @@ -5866,8 +4888,6 @@ snapshots: trough@2.2.0: {} - ts-dedent@2.2.0: {} - tsconfck@3.1.6(typescript@5.9.3): optionalDependencies: typescript: 5.9.3 @@ -5975,8 +4995,6 @@ snapshots: util-deprecate@1.0.2: {} - uuid@11.1.0: {} - vfile-location@5.0.3: dependencies: '@types/unist': 3.0.3 @@ -6106,8 +5124,6 @@ snapshots: vscode-nls@5.2.0: {} - vscode-uri@3.0.8: {} - vscode-uri@3.1.0: {} web-namespaces@2.0.1: {} diff --git a/src/content/talks/from-prompts-to-predictable-user-interfaces.md b/src/content/talks/from-prompts-to-predictable-user-interfaces.md index 18a5005..854c296 100644 --- a/src/content/talks/from-prompts-to-predictable-user-interfaces.md +++ b/src/content/talks/from-prompts-to-predictable-user-interfaces.md @@ -34,18 +34,6 @@ A designer builds a mockup, a developer interprets the visuals, and somewhere th Figma MCP (Model Context Protocol) lets an agent read Figma files programmatically. Extract components, design tokens, variants. Generate code that matches design exactly. No interpretation gap. -The workflow: - -```mermaid -graph TD - A[Figma Design System] --> B[get_design_context extract component structure] - A --> C[get_variable_defs extract design tokens] - B --> D[Component Code + Design Tokens] - C --> D - D --> E[React components with Base UI + Tailwind CSS] - E --> F[Storybook stories one per variant] -``` - **Step 1: Extract design tokens** ```typescript @@ -397,17 +385,6 @@ Even within the same framework, naming conventions and component structures shif json-render implements this pattern: AI → JSONL → UI. Instead of asking the LLM to output React/Vue/whatever directly, you teach it to output JSON Lines patches describing the UI structure. A separate renderer applies those patches and maps them to your component library. -The architecture: - -```mermaid -graph TD - A[User prompt] --> B[LLM receives system prompt teaching JSONL format] - B --> C[JSONL patches streamed] - C --> D[useUIStream hook parses patches] - D --> E[Renderer applies patches to tree] - E --> F[Component registry maps types to React components] -``` - The key constraint is the **component catalog**. You define available components upfront with Zod schemas: ```typescript diff --git a/src/styles/base.css b/src/styles/base.css index 93f523b..8c2e181 100644 --- a/src/styles/base.css +++ b/src/styles/base.css @@ -63,47 +63,6 @@ font-size: var(--text-sm); font-weight: var(--font-weight-light); } - - /* Mermaid diagrams */ - .prose p:has(svg[id^="mermaid-"]) { - display: flex; - justify-content: center; - margin: var(--spacing-8) 0; - } - - .prose svg[id^="mermaid-"] { - max-width: 100%; - height: auto; - } - - /* Mermaid light mode (default) - !important needed to override inline SVG styles */ - .prose svg[id^="mermaid-"] .node rect, - .prose svg[id^="mermaid-"] .node circle, - .prose svg[id^="mermaid-"] .node ellipse, - .prose svg[id^="mermaid-"] .node polygon { - fill: var(--color-gray-200) !important; - stroke: var(--color-gray-700) !important; - } - - .prose svg[id^="mermaid-"] .label, - .prose svg[id^="mermaid-"] .label text, - .prose svg[id^="mermaid-"] .nodeLabel, - .prose svg[id^="mermaid-"] .nodeLabel p, - .prose svg[id^="mermaid-"] .edgeLabel { - color: var(--color-gray-1200) !important; - fill: var(--color-gray-1200) !important; - } - - .prose svg[id^="mermaid-"] .edgePath .path, - .prose svg[id^="mermaid-"] .flowchart-link { - stroke: var(--color-gray-800) !important; - } - - .prose svg[id^="mermaid-"] .arrowheadPath, - .prose svg[id^="mermaid-"] .marker { - fill: var(--color-gray-800) !important; - stroke: var(--color-gray-800) !important; - } } @utility scrollbar-hide {