Python & FastAPI Best Practices

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Implements modern Python and FastAPI standards using Pydantic v2, SQLAlchemy 2.0, and high-performance async patterns.

This skill acts as a comprehensive guide and implementation framework for building production-grade Python web applications with FastAPI. It enforces industry-standard patterns such as layered architecture (Router-Service-Repository), type-safe database interactions with SQLAlchemy 2.0, and robust data validation using Pydantic v2. By providing clear guidance on async performance, configuration management, and modern Python 3.12 conventions, it helps developers avoid common pitfalls like event loop blocking and deprecated datetime usage, ensuring scalable and maintainable backend services.

주요 기능

01Standardized pagination and configuration management
02SQLAlchemy 2.0 type-safe Mapped patterns
03Layered architecture enforcement (Router/Service/Repository)
04Async performance optimization and event loop safety
0578 GitHub stars
06Pydantic v2 schema optimization and ORM integration

사용 사례

01Refactoring legacy Python code to use modern Pydantic v2 and SQLAlchemy 2.0
02Scaffolding a new enterprise-grade FastAPI backend with a clean architecture
03Auditing existing FastAPI projects for async bottlenecks and timezone bugs