How CLAUDE.md and AGENTS.md Rule Files Improve AI Code Quality in FastAPI Projects

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A 2026 guide published on DEV Community explains how rule files like CLAUDE.md and AGENTS.md help control the behavior of LLM-based AI coding agents in FastAPI projects. Without precise instructions, agents tend to produce plausible but incorrect code, including misuse of async functions, dependency injection errors, and missing response models. Tools such as Claude Code, Cursor, and the OpenAI Agents SDK automatically load these files from the project root and treat them as generation constraints. The guide recommends keeping rule files under 300 lines, using verifiable and specific directives rather than vague instructions like 'write good code', and explicitly listing prohibited actions. Best practices also include separating project conventions from agent behavior policies and leaving change history to version control rather than annotating rule files directly.

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