python-best-practices

FastAPI architecture best practices are defined by 38 rules across 8 categories covering endpoint design, dependency injection, project structure, and data models to reduce drift and anti-patterns.

Pydantic v2 and SQLAlchemy 2.0 patterns are enforced for data validation and database interactions, ensuring scalable and maintainable FastAPI codebases through concrete architectural rules.

Async correctness and dependency injection in FastAPI are governed by specific architectural pattern categories that enforce testable, reliable code execution for async operations and injected dependencies.

FastAPI architectural patterns can be applied to refactor legacy code and onboard new teams by standardizing API design, error handling, and testing patterns for improved readability and testability.

Testing patterns and error handling rules are explicitly covered as distinct categories within the FastAPI guide, providing concrete guidance for creating robust and testable backend architectures.