code-review

Review Python pull requests by running a style-guide reference and check script to detect style violations, security risks, and likely bugs before merging. The process generates a structured checklist of issues ranked by severity to guide your fixes.

Automated code review analyzes source code against a style guide and check script to identify style violations, security vulnerabilities, and bugs before changes are merged. It produces structured issue results with a passed or failed outcome to ensure maintainability.

This code review tool is suitable for small-to-medium code changes and refactoring guidance. It focuses on Python-centric development workflows, ensuring that style, security, and correctness concerns are caught during pull request reviews before production deployment.

Catch naming conventions and style violations by executing the check_style.py script against your source code. It detects common style problems like overly long lines, trailing whitespace, potential camelCase usage, and unclear single letter variables based on a loaded style-guide reference.

Prioritize code review findings using severity-based feedback that organizes issues into Critical, Important, and Suggestion levels. This structured ranking guides you to fix security risks and correctness bugs first, then address maintainability and style improvements.

A Python code review reports both style issues and security risks because it performs a best-practice review focusing on bugs, security vulnerabilities, and performance problems while simultaneously ensuring guidance aligns with a referenced style guide for overall maintainability.