async-python-patterns

Review async Python code by checking for blocking I/O operations on the event loop and CPU-bound work inside async tasks. This ensures event-loop safety and prevents runtime bottlenecks in asyncio services and APIs.

asyncio tasks leak memory when task creation, awaiting, and supervision are improperly handled. Verify task boundaries and cleanup processes to prevent leaks and ensure proper task management in async Python workers.

Handling cancellation semantics in asyncio services involves verifying clean error propagation and proper task supervision. This ensures that cancelled tasks terminate gracefully without leaving resources open or corrupting state.

Enforce bounded concurrency and backpressure in async Python workers by checking concurrency control limits during code review. This prevents unbounded concurrency risks and improves overall application reliability.

This async Python review process applies directly to asyncio services, background workers, and APIs. It checks event-loop safety, task boundaries, and concurrency control to improve reliability and maintainability across these environments.