fastapi-patterns

FastAPI lifespan management handles async resources during the app lifecycle by replacing deprecated startup/shutdown events, improving efficiency and maintainability for modern microservices.

Pydantic v2 data validation in FastAPI ensures API robustness by enforcing strict schema definitions, leveraging improved parsing performance over v1 for modern microservices.

FastAPI dependency injection and routing composition improve code modularity by structuring reusable dependencies and organizing routes, avoiding common pitfalls in production microservices.

This skill requires knowledge of async Python and modern FastAPI 0.111+ features, targeting production-ready microservices rather than older asyncio implementations.

Configuring middleware ordering and error handling in FastAPI enhances security and user experience by properly structuring middleware stacks and error handlers to avoid common performance issues.

Test overrides in FastAPI applications allow you to mock dependencies during testing strategies, ensuring accurate endpoint validation without affecting production database or external services.