fastapi

To build a production-ready Python API with FastAPI and JWT authentication, use established patterns for secure endpoints, Pydantic v2 data validation, and async SQLAlchemy 2.0 database access. This approach ensures scalable and secure service architecture.

The best way to structure a FastAPI project using async SQLAlchemy is through domain-based organization. This structure clearly separates dependency injection, Pydantic validation models, and asynchronous I/O logic to maintain scalable data access across projects.

Yes, this FastAPI workflow fully supports Pydantic v2 and OpenAPI compliance. It provides clear guidance for data validation and automatic OpenAPI documentation generation, meeting the requirements for modern API development workflows.

You set up dependency injection in FastAPI for microservices by following domain-based project organization. This pattern cleanly separates validation logic and asynchronous I/O operations, allowing internal microservices to scale securely with JWT-protected endpoints.

Yes, you can use uv to scaffold a new FastAPI project and run the development server. After installing FastAPI-related dependencies, scaffold the recommended structure with uv and verify routes and authentication locally.