Fastapi Best Practices

What it does

This skill provides guidance and code examples for implementing FastAPI best practices. It helps developers write cleaner, more maintainable, and performant FastAPI applications by adhering to established patterns and conventions. The skill focuses on aspects like dependency injection, data validation with Pydantic, and API documentation generation using OpenAPI.

When to use it

• When starting a new FastAPI project and wanting to ensure adherence to best practices from the outset.
• During code reviews to identify areas where existing FastAPI code can be improved.
• To refactor an older FastAPI application to enhance its maintainability and performance.
• When needing assistance with implementing specific features like dependency injection or data validation in a FastAPI API.

Key capabilities

• Dependency Injection guidance
• Pydantic data validation examples
• OpenAPI documentation generation techniques
• Code structure and organization recommendations
• Performance optimization strategies for FastAPI applications

Example prompts

• "Show me how to implement dependency injection in my FastAPI application."
• "Give me an example of using Pydantic for request body validation."
• "How can I generate OpenAPI documentation for my FastAPI API?"

Tips & gotchas

• This skill assumes a basic understanding of Python and the FastAPI framework. Familiarity with asynchronous programming is also beneficial.