ai-code-review-ai-kit

Risk-first code review evaluates added or modified lines in a PR diff to prioritize bugs, security issues, and reliability regressions. It produces a structured markdown report with severity-based findings and line-precise citations for fast navigation.

Focusing code review on security risks involves analyzing only changed code lines to catch production-impacting vulnerabilities. This approach categorizes findings into requiring attention, potential improvements, and suggestions to ensure critical risks are addressed first.

Generating structured markdown feedback requires scanning added or modified diff lines and outputting categorized findings. The review includes file and line range markdown links, enabling developers to navigate directly to requiring-attention issues.

Automated diff analysis assesses software quality by reviewing exclusively added or modified lines in a pull request. It mandates running a code-debt tech scan on the change set to identify reliability and security risks efficiently.

Code review for pull requests works by targeting only the added or modified lines in the diff, not the entire codebase. This focused approach reduces review time while still identifying bugs, security issues, and reliability regressions.

Risk-first diff review should not be used when you need to assess overall architecture or untouched legacy code, as it exclusively targets added or modified lines in a PR diff for security and reliability risk assessment.