How CLAUDE.md and AGENTS.md Rule Files Keep AI Agents Consistent in FastAPI Projects

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AI coding agents like Claude Code and Cursor automatically read project-level rule files such as CLAUDE.md, .cursorrules, and AGENTS.md as system-level instructions, allowing teams to enforce consistent code style across a repository. In FastAPI projects, these files address common inconsistencies like varying endpoint structures and mismatched dependency injection patterns. A practical rule file covers the tech stack, router design conventions, dependency injection standards, prohibited patterns, testing setup, and error-handling approaches. Experts recommend keeping each rule file under 50 lines and framing rules as positive patterns rather than prohibitions, since agents respond better to instructed structures than to restrictions. Rule file changes should be version-controlled and included in pull request reviews, treating them with the same rigor as infrastructure-as-code configurations.

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