fastapi-code-review

To check FastAPI code for best practices before merging, scan your Python scripts to verify proper APIRouter usage, correct response_model configuration, and appropriate status codes. This process ensures endpoint consistency and prevents runtime errors.

Common FastAPI dependency injection anti-patterns include manually calling dependencies instead of using Depends(), and neglecting proper resource cleanup. Reviewing code for these issues ensures robust and maintainable API endpoints.

Your FastAPI async handler likely blocks the event loop due to blocking I/O operations or incorrect sleep usage. Code review identifies these non-async operations to ensure correct asynchronous programming and performance optimization.

Validate Pydantic model usage in a FastAPI application by auditing request validation and response_model configurations. This review confirms that API endpoints correctly serialize and validate data for maintainability.

Yes, you can audit APIRouter configurations in Python to verify proper routing setup and response validation. This checks for correct status codes and response_model usage to maintain code quality.