What problem does it solve?
FastAPI mastery eliminates common pitfalls when building asynchronous Python APIs by enforcing correct async patterns, robust schema validation, safe dependency injection, and reliable async database access to prevent N+1 queries, connection leaks, and broken tests.
Core Features & Use Cases
- Schema-first validation and contracts: clear Pydantic Create/Update/Response separation and validators to prevent invalid inputs from reaching business logic.
- Async database and DI patterns: guidance on async drivers, connection pooling, selectin loading to avoid N+1, and yield-based dependency lifecycles for testability and resource safety.
- Testing and delivery workflows: pytest + HTTPX async testing, Alembic migrations, background task strategies, WebSocket best practices, and stop/rollback rules for iterative automated changes.
- Use Case: Convert a synchronous Python API into a fully async FastAPI service with async SQLAlchemy, comprehensive schema tests, and safe CI deployment.
Quick Start
Use the fastapi skill to scaffold and harden an async API with Pydantic schemas, async DB access, dependency injection, and async tests.