Fastapi Best Practices

What it does

This skill provides guidance and code examples for implementing FastAPI applications following best practices. It helps developers structure projects, handle dependencies effectively, and write maintainable API code. The skill focuses on practical advice to improve the quality and performance of FastAPI-based backend systems.

When to use it

• You're starting a new FastAPI project and want to ensure a solid foundation.
• You have an existing FastAPI application that needs refactoring or optimization.
• You are looking for guidance on structuring your FastAPI projects, including dependency injection and testing.
• You need help implementing common patterns like data validation and authentication in FastAPI.

Key capabilities

• Project structure recommendations
• Dependency management strategies
• Data validation techniques
• Testing best practices

Example prompts

• "Show me an example of a well-structured FastAPI project."
• "How can I implement dependency injection in my FastAPI application?"
• "What are the best practices for data validation with Pydantic in FastAPI?"

Tips & gotchas

This skill assumes some familiarity with Python and the basics of FastAPI. While it provides guidance, you'll still need to understand the underlying concepts to effectively apply these best practices.