fastapi-coder

FastAPI with Pydantic validation enables type-safe async applications. Define Pydantic schemas for request/response validation, use async route handlers for non-blocking I/O, and leverage FastAPI's automatic OpenAPI documentation. This approach ensures data integrity while handling concurrent requests efficiently.

FastAPI's built-in dependency injection system lets you declare reusable dependencies in route signatures. Dependencies can be database sessions, authentication checks, or shared services. This pattern promotes clean separation of concerns and makes testing straightforward by allowing easy mock substitution.

Yes. FastAPI integrates with SQLAlchemy 2.0's async engine for non-blocking database access. Use async context managers in dependency injection to provide sessions, execute async queries, and maintain clean resource lifecycle management across concurrent requests.

Pydantic schemas automatically generate OpenAPI documentation and validation. FastAPI catches validation errors and returns standardized responses. Use Pydantic field definitions with descriptions and constraints to document API behavior while enforcing input requirements at the framework level.

Async patterns benefit I/O-bound workloads: database queries, API calls, file operations. For CPU-bound tasks or simple synchronous logic, standard route handlers work fine. FastAPI handles both, but async becomes essential when scaling to handle many concurrent connections efficiently.