A collection of AI-powered Spring Boot starters focused on enhancing developer experience (DX) during local development and testing.
This repository contains production-grade tooling ideas that integrate deeply with the Spring ecosystem to help developers:
- Fix APIs faster
- Reduce repetitive work
- Improve development experience during local runs
🎯 Goal: Build AI-assisted developer tooling, not end-user applications.
This is a multi-module Maven project with a shared parent POM.
ai-dev-tools
├── .github/workflows
├── LICENCE
├── pom.xml # Parent POM
├── ai-swagger-helper-starter # Swagger/OpenAPI DX tools
├── demo-app # Usage example for all starters
└── README.md
Each module:
- Is a Spring Boot starter
- Is independently usable
- Focuses on a specific developer pain point
Traditional developer tools provide raw data (logs, specs, stack traces).
These starters use AI to convert that data into actionable insights.
Examples:
- Explaining why an API change is breaking
- Generating realistic request payloads from OpenAPI
- Summarizing errors instead of dumping stack traces
- Reducing cognitive load during development
AI is used only where reasoning or summarization adds value, not as a gimmick.
📁 ai-swagger-helper-starter
Enhancements for Swagger / OpenAPI during development.
Features
- Adds a Swagger UI extension
- Generates realistic, real-world request bodies
- Helps developers test APIs faster without manually crafting payloads
Use case
- Local development
- API testing
-
AI Exception Explainer Starter
Converts Spring stack traces into human-readable explanations. -
AI Exception Handler
(Each starter will live in its own module with independent documentation.)*
- Java 21+
- Spring Boot 4
- Spring Auto-Configuration
- OpenAPI / Swagger
- Maven (multi-module)
- OpenRouter LLM integration (pluggable)
- Backend developers working with Spring Boot
- Engineers interested in platform / tooling work
- Developers exploring AI-assisted development workflows