api-scaffolding

FastAPI endpoint scaffolding generates project structures with Pydantic models, API routers, and service layers. It creates production-ready backend code by defining data schemas, route handlers, and business logic separation for scalable API services.

Yes, you can add new endpoints to an existing Python backend. The scaffolding supports adding individual routes, CRUD operations, and webhook receivers by generating FastAPI API routers and Pydantic models that integrate into your current project structure.

Yes, uvicorn and pydantic are required dependencies. The Skill relies on fastapi, uvicorn, pydantic, pydantic-settings, httpx, and python-dotenv to generate functional server builds, manage data validation, and handle environment configurations.

The best way to structure a new Python backend is using isolated API routers, Pydantic models, and service layers. This scaffolding generates that production-ready architecture instantly, ensuring maintainable endpoint organization and clean separation of concerns.

Yes, the scaffolding generates code for handling Stripe payment webhooks. It creates the FastAPI webhook receiver endpoint and includes setup for signature verification to securely process incoming payment events.