agent-rules-books (ciembor/agent-rules-books) is an open-source AI project on GitHub. Repository summary: AGENTS.md rules / skills for AI coding agents: Codex, Cursor & Claude Code. Inspired by Clean Code, Refactoring, DDD, Clean Architecture and DDIA programming books. Its focus includes developer-centric engineering workflows. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
1,269
Features
- Core capability: AGENTS.md rules / skills for AI coding agents: Codex, Cursor & Claude Code. Inspired by Clean Code, Refactoring, DDD, Clean Architecture and DDIA programming books.
- Built for code generation, debugging, or engineering integration
- Repository: ciembor/agent-rules-books
- Open-source license: MIT
- GitHub traction: about 1,265 stars
- Open-source and extensible codebase
Use Cases
- Supports AI engineering build-and-iterate workflows for dev teams
- Build internal AI workflow prototypes with agent-rules-books
- Validate agent-rules-books in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
- Improving team engineering productivity
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/ciembor/agent-rules-books. Community traction is around 1,265 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Supports AI engineering build-and-iterate workflows for dev teams, Build internal AI workflow prototypes with agent-rules-books, Validate agent-rules-books in production-like engineering scenarios.
