Fastapi Backend Guidelines

What it does

This skill provides guidelines for building robust and maintainable backend applications using FastAPI. It focuses on best practices for structuring projects, handling data validation, and creating API endpoints that adhere to industry standards. The goal is to improve developer productivity and ensure the quality of your FastAPI-based backends.

When to use it

• You're starting a new FastAPI project and want to follow established architectural patterns.
• Your existing FastAPI codebase needs refactoring for better organization and maintainability.
• You need help implementing data validation and serialization within your API endpoints.
• You are looking for guidance on structuring your project directory and managing dependencies effectively.

Key capabilities

• Project structure recommendations
• Data validation strategies
• API endpoint design guidelines
• Dependency management best practices

Example prompts

• "Generate a FastAPI project structure with separate modules for models, routes, and database interactions."
• "Show me how to implement Pydantic data validation for an API request body."
• "What are the recommended approaches for handling authentication in a FastAPI application?"

Tips & gotchas

This skill assumes you have basic familiarity with Python and FastAPI. While it provides guidelines, adapting them to specific project requirements will require careful consideration of your use case.