MCAF is an open framework built by developers who believe AI coding agents need structure, not just prompts. This page recognizes the people who made it happen.
- Managed Code — Framework design and development
- Roger Johansson — His post about self-learning code agents inspired the self-learning logic that became the core of MCAF
- Agent Skills — We’re grateful for this open specification (originally developed by Anthropic) that made “skills” concrete: file-based packaging, progressive disclosure, and practical integration patterns
- AGENTS.md — Thank you for standardizing the idea of a repository-native instruction file; this is a critical foundation for how MCAF treats agent rules as versioned, reviewable code
Want to contribute? Open a PR or issue on GitHub.