gts-backend-dev

You can scaffold a FastAPI backend with SQLAlchemy 2.0 and Pydantic v2 by using this skill to generate typed data models, thin route handlers, and async database access layers with minimal boilerplate.

Async database migration with Alembic in FastAPI works by integrating async database drivers with Alembic scripts, allowing scalable data layers to evolve schema changes without blocking the application event loop.

Yes, you can use Docker to run and test a FastAPI backend with async SQLAlchemy by starting the stack with docker compose up -d and executing pytest inside the backend container.

The best way to structure an API-first FastAPI project with background tasks is to apply DDD or Hexagonal architecture patterns, separating routes, schemas, and TaskIQ background processing for maintainable modular code.

Yes, this FastAPI skill includes OAuth2 and JWT authentication setup, providing the necessary architecture patterns and code scaffolding to secure API endpoints out of the box.

You use Pydantic v2 schemas for data validation in an async FastAPI application to ensure reliable, typed request and response handling while reducing boilerplate code across API boundaries.