@libar-dev/delivery-process

Context engineering for AI-assisted codebases.

Turn TypeScript annotations and Gherkin specs into a structured, queryable delivery state — living documentation, architecture graphs, and FSM-enforced workflows that AI agents consume without hallucinating.

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Why This Exists

AI coding agents need architectural context to generate correct code. This package makes code the single source of truth for both humans and machines — annotations in code and Gherkin specs replace manually maintained docs that drift out of date.

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Quick Start

1. Install

# npm
npm install @libar-dev/delivery-process@pre

# pnpm (recommended)
pnpm add @libar-dev/delivery-process@pre

Requirements: Node.js >= 18.0.0, ESM project ("type": "module" in package.json)

2. Annotate Your Code

/** @docs */

/**
 * @docs-pattern UserAuthentication
 * @docs-status roadmap
 * @docs-uses SessionManager, TokenValidator
 *
 * ## User Authentication
 *
 * Handles user login, logout, and session management.
 */
export class UserAuthentication {
  // ...
}

Tag prefix is configurable. The generic preset uses @docs-* (shown above). The default libar-generic preset uses @libar-docs-*. See docs/CONFIGURATION.md.

3. Generate Documentation

npx generate-docs -g patterns -i "src/**/*.ts" -o docs -f

4. Enforce Workflow (Pre-commit Hook)

npx lint-process --staged

This validates FSM transitions and blocks invalid status changes.

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How It Works

TypeScript annotations define pattern metadata and relationships:

/**
 * @libar-docs
 * @libar-docs-pattern TransformDataset
 * @libar-docs-status completed
 * @libar-docs-uses MasterDataset, ExtractedPattern, TagRegistry
 */
export function transformToMasterDataset(input: TransformInput): MasterDataset {
  // ...
}

Gherkin feature files own planning metadata (status, phase, deliverables). The generator merges both sources into a unified MasterDataset.

Pipeline: Config → Scanner → Extractor → Transformer → Codec — files become patterns, patterns become a MasterDataset, the MasterDataset renders to Markdown and JSON.

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What Gets Generated

All output goes to docs-live/ — 57+ auto-generated files from annotated source code:

Output	Files	Source
Product area docs	7	@docs-uses, @docs-status, relationship tags
Business rules	7	Gherkin Rule: Invariant/Rationale blocks
Architecture decisions (ADRs)	7	Decision feature files
Reference guides	8	CLI schema, codec patterns, annotations
Live Mermaid diagrams	—	@docs-uses, @docs-depends-on relationships
API type shapes	—	@docs-shape on TypeScript declarations
Validation rules	3	Process Guard FSM specs
Taxonomy reference	3	Tag registry
AI context modules	13	@docs-claude-module tagged specs
Changelog	1	Release specs

Browse it: docs-live/INDEX.md is the navigation hub with reading order, document roles, and product area statistics.

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CLI Commands

Command	Purpose	Docs
generate-docs	Generate documentation from annotated sources	generate-docs --help
process-api	Query delivery state for AI coding sessions	Process API Reference
lint-patterns	Validate annotation quality (missing tags, etc.)	Validation Rules
lint-process	Validate delivery workflow FSM transitions	Process Guard Reference
lint-steps	Validate vitest-cucumber feature/step compatibility	Validation Rules
validate-patterns	Cross-source validation with Definition of Done checks	Validation Rules

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Documentation

Generated Docs (auto-maintained)

docs-live/INDEX.md is the navigation hub — 57+ files generated from annotated source code, organized into product areas, reference guides, business rules, ADRs, taxonomy, and validation rules.

Editorial Docs (hand-maintained)

Document	Focus
CONFIGURATION.md	Presets, tags, config files
METHODOLOGY.md	Core thesis, dual-source "why"
GHERKIN-PATTERNS.md	Writing effective specs
SESSION-GUIDES.md	Day-to-day AI/dev workflows
VALIDATION.md	Automated quality checks

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License

MIT © Libar AI