fastapi

Refactor FastAPI projects by applying annotated parameters, explicit return types, and dependency injection patterns. This ensures code correctness and maintainability by enforcing consistent async usage and router-centric configuration across small to large codebases.

Best practices for FastAPI routers and Pydantic models include using router-centric configuration, explicit return types, and modern type annotations. These patterns improve API correctness, performance, and maintainability as your FastAPI application scales.

Yes, this approach works for large FastAPI codebases by enforcing consistent async versus sync usage. It audits and refactors existing routes and Pydantic models to align with up-to-date conventions without breaking current application logic.

Audit FastAPI apps by checking for modern conventions like annotated parameters, explicit return types, and dependency injection. Identifying outdated patterns helps keep code aligned with current FastAPI features and ensures long-term maintainability.

Explicit return types and annotated parameters in FastAPI endpoints improve correctness and performance. They enforce clear API contracts, enable better dependency injection, and keep your code aligned with up-to-date framework conventions.

Keep FastAPI code clean by applying current best practices such as router-centric configuration, dependency injection, and consistent async patterns. Regularly refactoring Pydantic models and type annotations ensures your project stays maintainable.