python-backend

Production-ready Python backend patterns for FastAPI, SQLAlchemy, and Upstash integrations. Production-ready Python backend patterns for FastAPI, SQLAlchemy, and Upstash. For detailed patterns, see: - Covers async-first REST API development with FastAPI, including dependency injection, Pydantic validation, and structured project organization - Implements authentication patterns for JWT/OAuth2, password hashing, CORS, and API key management - Provides SQLAlchemy async database setup with transactions, eager loading, and migration strategies - Includes Redis/Upstash caching, rate limiting with sliding windows, and QStash background job patterns - Offers code quality guidance for refactoring AI-generated Python and optimizing backend performance - Building REST APIs with FastAPI - Implementing JWT/OAuth2 authentication - Setting up SQLAlchemy async databases - Integrating Redis/Upstash caching and rate limiting - Refactoring AI-generated Python code - Designing API patterns and project structure - Async-first - Use async/await for I/O operations - Type everything - Pydantic models for validation - Dependency injection - Use FastAPI's Depends() - Fail fast - Validate early, use HTTPException - Security by default - Never trust user input - FastAPI Documentation - SQLAlchemy 2.0 Documentation - Upstash Documentation - Pydantic Documentation