keep-ai-ready

To keep AI documentation current, you analyze completed specs to identify new patterns and architectural decisions, then update repository files like AGENTS.md and HOWTOAI.md so AI agents follow the latest project conventions.

AI-ready repository documentation consists of files like AGENTS.md and HOWTOAI.md that provide actionable context. You need it to ensure AI agents understand your coding patterns, conventions, and architecture before generating or modifying code.

You should update AGENTS.md and HOWTOAI.md files after significant feature implementations or architectural changes to capture new conventions and real-world examples, ensuring future AI-assisted development adheres to current standards.

The best way to document new coding patterns for AI agents is to analyze recent implementations and extract lessons learned, incorporating real-world examples into your AI documentation files to maintain actionable guidance.

No, keep-ai-ready requires no dependencies to maintain repository documentation. It operates independently to analyze completed specs and update AI documentation files with new architectural patterns and conventions.

Yes, you can use keep-ai-ready for repository management on any codebase. It analyzes completed specs and architectural changes to update AI documentation files, ensuring AI agents understand project conventions regardless of stack.