backend-python

Structure a FastAPI backend using Clean Architecture by dividing code into Domain, Application, Infrastructure, and API layers. This separation enforces dependency injection and standardizes routers, services, and repositories for maintainable Python code.

Implement async I/O and dependency injection in Python backends by applying standard Clean Architecture patterns. This Skill provides wiring for FastAPI routers and services, ensuring scalable async operations with structured type hints and Pydantic models.

Standardize API response envelopes and health checks in FastAPI by applying uniform response formats and dedicated health endpoints. This ensures consistent API outputs and infrastructure monitoring across all application routes.

FastAPI works well with layered architecture patterns for large projects by separating Domain, Application, Infrastructure, and API layers. This reduces code rot and onboarding time while maintaining robust async I/O and structured logging.

You can refactor an existing Python backend to use Clean Architecture by applying patterns for endpoints, services, and repositories. This Skill automates the transition to a layered structure with dependency injection and standardized API responses.

Your FastAPI project needs structured logging and Clean Architecture to reduce code rot and simplify onboarding. Separating Domain, Application, Infrastructure, and API layers with standard DI patterns ensures long-term maintainability and observability.