Teach AI coding assistants your design system with Markdown

AI coding assistants can follow a React and Tailwind design system more reliably when repositories provide concise Markdown documentation for semantic tokens, component APIs, accessibility requirements, and page composition patterns, with a shared instruction file such as AGENTS.md directing tools to those references before UI changes. A demo repository contrasts an unguided settings page containing hardcoded colors, arbitrary Tailwind values, rebuilt inaccessible controls, and unsupported styling with a documented version that reuses shared components, semantic utilities, proper form labeling, and accessible switch behavior. The approach can be configured for Claude Code, Cursor, GitHub Copilot, and Codex, though each tool loads instruction files differently and referenced documentation may need explicit inclusion or verification. Automated type, documentation, and drift checks can identify selected violations, but they do not replace design, accessibility, or semantic review. Documentation should be maintained alongside component and token changes, while larger systems may benefit from generated API references and structured token data. The method is most useful for teams with established component libraries and recurring UI review issues, provided they begin with high-value conventions, test results across multiple assistant sessions, and keep guidance close to the implementation.

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