Community
Join the AI-DLC community - resources, support, and contribution opportunities
Community
AI-DLC is an open methodology built by practitioners for practitioners. Join us in evolving how humans and AI build software together.
Get Involved
GitHub
The primary hub for AI-DLC development:
AI-DLC Plugin Repository
- github.com/thebushidocollective/ai-dlc
- Report bugs and request features
- Contribute code and documentation
- Review and discuss pull requests
Han Plugin Ecosystem
- github.com/thebushidocollective/han
- The broader plugin marketplace
- Jutsu (validation hooks), Hashi (MCP servers), Do (agents)
Discussions
Use GitHub Discussions for:
- Questions about methodology
- Sharing your experiences
- Proposing new features
- Workflow customization ideas
Issues
Found a bug or have a specific improvement in mind?
Contributing
Documentation
Help improve the docs:
- Fix typos and clarify confusing sections
- Add examples from your experience
- Translate to other languages
- Write tutorials and guides
Code
Contribute to the plugin:
- Fix bugs in hat logic
- Add new workflows
- Improve error handling
- Add tests
Custom Hats and Workflows
Share your custom configurations:
- Specialized hats for your domain
- Workflow patterns that worked well
- Integration examples
Resources
The AI-DLC Paper
The foundational methodology document:
- AI-DLC Paper
- Full background and rationale
- Research references
- Adoption guidance
Han Ecosystem
AI-DLC is part of Han, a plugin marketplace for Claude Code:
- Website: han.guru
- Bushido: Core quality principles
- Jutsu: Language/tool validation hooks
- Hashi: MCP server bridges
- Do: Specialized agent plugins
Related Projects
Projects that influenced or complement AI-DLC:
Methodology Foundations:
- Raja SP's AI-DLC Method Definition - AWS DevOps Blog
- Ralph Wiggum Technique - Geoffrey Huntley
Tools:
- Claude Code - Anthropic's AI development environment
- Model Context Protocol - MCP specification
Stay Updated
Blog
Follow the AI-DLC blog for:
- Feature announcements
- Methodology updates
- Community highlights
- Best practices
Releases
Watch the GitHub repository for releases:
- New features
- Bug fixes
- Breaking changes
Support
Getting Help
- Documentation - Check the docs first: ai-dlc.dev/docs
- Search Issues - Someone may have had the same question
- Ask in Discussions - Community help for general questions
- Open an Issue - For bugs and specific problems
Reporting Bugs
When reporting bugs, include:
- AI-DLC version
- Claude Code version
- Steps to reproduce
- Expected vs actual behavior
- Relevant logs or screenshots
Requesting Features
When requesting features:
- Describe the use case
- Explain why current solutions don't work
- Provide examples if possible
License
AI-DLC is open source under the Apache 2.0 license:
- Use commercially
- Modify and distribute
- Patent protection
- Maintain attribution
Acknowledgments
AI-DLC builds on work from:
- Raja SP (AWS) - Original AI-DLC methodology
- Geoffrey Huntley - Ralph Wiggum technique
- Boris Cherny & Anthropic - Production implementation patterns
- Steve Wilson (OWASP) - HITL/HOTL governance frameworks
- HumanLayer - 12 Factor Agents principles
- The Claude Code community - Feedback and real-world testing
Thank you to all contributors who help evolve AI-DLC.
Code of Conduct
We follow the Contributor Covenant:
- Be respectful and inclusive
- Welcome newcomers
- Focus on constructive feedback
- Assume good intent
Next Steps
- Installation - Get started with AI-DLC
- Quick Start - Build your first feature
- GitHub - Contribute to the project