python-code-review

Type safety review checks for complete type hints on function parameters and return values, validates Optional and Union types, and flags missing annotations. This catches type mismatches early and improves code maintainability by making intent explicit.

Async validation ensures coroutines are awaited properly, detects blocking calls in async functions, and prevents synchronous operations in async contexts. Correct async patterns prevent deadlocks and resource leaks in concurrent applications.

Error handling review prohibits bare except clauses, mandates logger usage over print statements, and enforces exception chaining to preserve context. Proper error handling enables debugging and maintains exception stack traces for diagnostics.

Code review flags missing type hints, improper async/await usage, bare excepts, print-based logging, and lost exception context. These checks surface bugs before they reach production and enforce consistency across Python projects.

Yes, code review applies to Python project files (.py modules) regardless of size or stage. Run the checklist against your codebase to surface type, async, and error-handling issues across all modules at once.