fastapi-expert

FastAPI best-practice governance uses a codified checklist of 20+ questions to enforce async-first design and type safety. It reviews routers, services, and schemas to ensure clear architectural boundaries and Pydantic-based contracts.

The best way to review FastAPI routers and schemas is applying a deep code-review checklist covering async hygiene, dependency injection, and state management. You iteratively refactor code against these guidelines to satisfy strict framework purist standards.

Yes, you can integrate these FastAPI code review checks into CI workflows. The solution requires no external tooling beyond standard Python environments and verifies code quality against defined criteria automatically during the pipeline.

Yes, this FastAPI code review guidance specifically targets projects using Pydantic v2 and Python 3.12+. It governs data validation and API design by codifying strong typing and dependency injection rules for those versions.

Using a checklist to audit FastAPI dependencies and state management ensures consistent DI-first design and clear boundaries. It serves as an educational tool for onboarding engineers and maintaining strong typing across complex async projects.

The limitation is that these standardized FastAPI guidelines target Python 3.12+ and Pydantic v2 exclusively. Projects using older Python versions or alternative validation libraries cannot fully adopt the codified async-first patterns and type safety checks.