kata-python-review

To systematically review Python pull requests, apply a repeatable checklist that validates correctness, edge cases, type safety, test adequacy, and secure handling of inputs. This approach catches bugs and architectural violations early while producing a structured approval or changes request.

A Python PR code review checklist for backend engineering should cover domain logic correctness, validation boundaries, typing discipline, test coverage quality, security-sensitive inputs, error handling paths, exception specificity, and dependency direction for architecture compliance.

Check type safety and boundary validation by verifying typing discipline is enforced and confirming that validation happens exactly at input and output boundaries. This ensures data integrity before it reaches core domain logic or database layers.

Automated Python code review works for finding missing tests and security issues by assessing test coverage quality and ensuring secrets, injection vulnerabilities, and sensitive data exposure are not introduced across security-sensitive inputs and error handling paths.

Ensure error handling and architecture compliance by reviewing exception specificity, verifying logging and context are appropriate, and checking that dependency direction stays correct within the codebase to prevent architectural violations in backend changes.

The best way to structure feedback when reviewing Python PRs is to produce a structured result containing a summary, critical must-fix issues, optional improvement suggestions, and positive notes, clarifying exactly what must change before approval.