python-fastapi-patterns

Structure a FastAPI backend using domain-driven layering that separates routers, services, and data access. This enforces strict type checking and async-first patterns to prevent architectural drift and improve onboarding.

Standardize FastAPI microservices by enforcing production-ready blueprints with Pydantic v2 schemas, SQLAlchemy 2.0 async ORM, and modern Python 3.12+ type safety. This ensures consistent dependency injection and structured logging.

Yes, SQLAlchemy 2.0 async ORM works with FastAPI and Pydantic v2. The skill provides strict technical guidelines for integrating these frameworks while maintaining modern Python 3.12+ type safety and async-first patterns.

Review an existing FastAPI service by checking router definitions and SQLAlchemy models against standardized patterns. Apply the skill to suggest improvements for dependency injection, robust error handling, and observability.

FastAPI production environments benefit from strict type checking and structured logging. Enforcing these conventions alongside robust error handling ensures service reliability and consistent observability across domain-driven layers.