code-review

Automate code review by analyzing git diff output to detect security vulnerabilities, quality problems, and maintainability issues. The review generates severity-rated reports with file:line locations and fix recommendations to guide pull request approval decisions.

Severity rating in code review classifies detected issues as CRITICAL, HIGH, MEDIUM, or LOW. It works by evaluating security vulnerabilities, performance bottlenecks, and best-practice violations, then mapping each finding to a severity level with clear fix recommendations.

Yes, automated code review applies to major feature implementations in software projects. It evaluates changed files for security vulnerabilities, code quality problems, and best-practice violations, providing an overall recommendation to approve, request changes, or comment.

The best way to check maintainability before merging is running a comprehensive code review on changed files. It identifies maintainability issues, assigns severity ratings, and provides fix recommendations with precise file:line locations to ensure code quality before approval.

Yes, automated code review works without external dependencies. It operates independently to scan changed files identified via git diff, pull requests, or feature implementations, generating severity-rated issue reports and approval guidance.

You should not rely solely on automated code review for subjective architectural decisions or business logic validation. It is designed to detect objective security vulnerabilities, quality problems, and best-practice violations with severity ratings, complementing but not replacing human judgment.