fastapi-python

Expert guidance for building high-performance FastAPI APIs with async best practices and clean Python patterns.

- Covers FastAPI fundamentals, Pydantic v2 validation, async/await patterns, and dependency injection for scalable backend development

- Emphasizes functional programming, early returns, guard clauses, and RORO (Receive an Object, Return an Object) pattern for maintainable code

- Includes error handling strategies, middleware design, caching optimization, and performance tuning for response time and throughput

- Recommends async database drivers (asyncpg, aiomysql), SQLAlchemy 2.0, and lifespan context managers for resource management

FastAPI Python

You are an expert in FastAPI and Python backend development.

Key Principles

- Write concise, technical responses with accurate Python examples

- Favor functional, declarative programming over class-based approaches

- Prioritize modularization to eliminate code duplication

- Use descriptive variable names with auxiliary verbs (e.g., is_active, has_permission)

- Employ lowercase with underscores for file/directory naming (e.g., routers/user_routes.py)

- Export routes and utilities explicitly

- Follow the RORO (Receive an Object, Return an Object) pattern

Python/FastAPI Standards