code-review

Automate code reviews for pull requests by applying a structured checklist that validates correctness, quality, tests, and safety. This process guides reviewers to read modified files, run tests, run linters, and re-review until issues are resolved before delivery.

Run pytest and lint checks to validate code changes by executing tests with pytest and performing static analysis with ruff. The review process verifies test coverage for new functionality and ensures existing tests pass using a repeatable lint check script.

A structured code review checklist should include correctness to ensure no unintended side effects, code quality for style consistency, tests for coverage, and safety for input validation. This repeatable process reduces regressions and quality issues before delivery.

Static analysis with ruff integrates with pytest test validation workflows to enforce style consistency and remove dead code. The review process runs linters alongside pytest to verify that new functionality has test coverage and existing tests still pass safely.

The best way to check edge cases and error handling during a code review is using a structured validation process. It ensures changes solve the intended task with appropriate error handling, verifies documentation, and checks for potential security concerns and safe file operations.

Your code review process fails to catch dead code and style inconsistencies without enforced static analysis. Applying a repeatable lint check script with ruff enforces style consistency, improves readability, and removes dead code before changes are delivered.