Thank you for your interest in making Code-Conductor even better! This project thrives on community contributions that help developers worldwide transform their workflows with AI agent coordination.
Code-Conductor should enable any developer to go from tweet discovery → clone → working AI agents in under 5 minutes. Every contribution should move us closer to this "life-changing" developer experience.
- 🌟 Project Examples - Most impactful! Add configs for new project types
- 🐛 Bug Fixes - Improve setup reliability and error handling
- 📚 Documentation - Help others discover and use the system
- ✨ Features - Enhance the core coordination system
- 🎥 Content - Videos, blog posts, tweets showing success stories
Help developers in new ecosystems
Examples needed:
- Vue/Nuxt applications
- Next.js 13+ with app router
- Django/FastAPI backends
- Go microservices
- Flutter mobile apps
- Astro static sites
What to include:
config.yamlwith role suggestionsexample-tasks.jsonwith realistic tasks- Comments explaining stack-specific patterns
Improve reliability for all users
Common issues:
- Setup failures on different OS/environments
- Edge cases in project detection
- GitHub API authentication problems
- Worktree conflicts
Extend core functionality
Ideas:
- Better task dependency management
- Agent role customization
- Performance monitoring
- Integration with other CI/CD tools
# Fork and clone
git clone https://github.com/YOUR-USERNAME/Code-Conductor.git
cd Code-Conductor
# Test the current setup
python setup.py --debug
# Make your changes
# Test thoroughly with different project types# Test with a real project of that type
cd /path/to/test-project
python /path/to/Code-Conductor/setup.py --auto --debug
# Verify the generated config makes sense
cat .conductor/config.yaml- Test with Python 3.8, 3.9, 3.10, 3.11
- Test interactive and auto modes
- Test with various project structures
- Ensure error messages are helpful
- Code comments: Explain why, not just what
- README updates: If you change user-facing behavior
- Example comments: Help users understand the config choices
Must have:
- ✅ Realistic project structure detection
- ✅ Appropriate role suggestions for the stack
- ✅ 4-6 example tasks covering common workflows
- ✅ Stack-specific build validation commands
- ✅ Musical theme in project names (harmony, rhythm, melody, etc.)
Nice to have:
- 🌟 Multiple complexity levels (starter, intermediate, advanced)
- 🌟 Integration with popular tools in that ecosystem
- 🌟 Performance optimizations specific to the stack
- Python: Follow PEP 8, use type hints where helpful
- YAML: Consistent indentation, meaningful comments
- JSON: Pretty-printed, consistent structure
- Shell scripts: Include error handling and helpful output
Use conventional commits for clarity:
feat(examples): add Vue.js project configuration
fix(setup): handle missing git remote gracefully
docs(readme): update quick start instructions
refactor(core): simplify role detection logic
Contributors are recognized in several ways:
- README credits for significant contributions
- Example attribution in config files you create
- Twitter shoutouts for major features/examples
- Maintainer consideration for consistent high-quality contributions
- Questions: Open a GitHub Discussion
- Bugs: Create an issue with reproduction steps
- Ideas: Start with a Discussion to gauge interest
- Be kind and inclusive - We're all learning
- Provide context - Help others understand your perspective
- Focus on user impact - How does this help developers?
- Share real experiences - Your use cases improve the project
- Example for Django + React - Full-stack web app
- Video tutorial - "Tweet to first agent in 3 minutes"
- Error recovery guide - Common setup problems and solutions
- Performance benchmarks - Agent coordination efficiency metrics
- Integration tests - Ensure examples work end-to-end
Help us build toward:
- Zero-config setup for 90% of projects
- Visual setup flow in VS Code extension
- Agent marketplace for specialized roles
- Performance analytics for optimization
By contributing, you agree that your contributions will be licensed under the same MIT license that covers the project.
Ready to contribute? Start by picking an example project type you're familiar with, and help other developers in that ecosystem discover the power of AI agent coordination!
Your contribution could be the one that transforms someone's development workflow. 🎼✨