AI Pull Request Reviews

Get AI-powered security feedback directly in your pull requests to prevent vulnerabilities before they’re merged.

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What AI PR Reviews Provide

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Enable AI PR Reviews

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How It Works

The AI autonomously reviews every PR for security:

1. Understands What Changed: Analyzes code intent and architecture impact
2. Analyzes Security Impact: Traces how changes affect security
3. Thinks Across Files: Sees connections across multiple files
4. Provides Specific Fixes: Code examples tailored to your framework
5. Rates Priority and Confidence: Clear guidance on urgency

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Why Agentic PR Reviews Matter

Traditional PR scanning: Runs rules on changed lines, reports findings Agentic PR reviews: AI actively investigates code changes, understands architectural impact, provides contextual feedback

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PR Review Components

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Summary Comment

Posted at PR level with overall security status:

• Security status (Success/Warning/Failed)
• Summary of issues found
• Priority breakdown
• Links to detailed analysis

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Inline Comments

Posted on specific lines with vulnerabilities:

• Issue description
• Security impact
• Fix recommendations
• Code examples
• Priority and confidence scores

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GitHub Check Status

AI review appears as a check:

• ✅ Success: No Critical/High security issues
• ❌ Failed: Security concerns requiring attention
• ⏳ Pending: AI analysis in progress

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Configuration

Configure PR review behavior:

• Post PR comments: Add inline security feedback
• Summary comment: Overall security assessment
• Suggestion threshold: Minimum priority to comment
• Block merge on failure: Prevent merging PRs with Critical/High violations

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Best Practices

• Enable AI PR reviews for all repositories
• Review AI suggestions promptly
• Provide feedback to improve AI accuracy
• Use threshold settings to reduce noise
• Combine with automated scanning for comprehensive coverage

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Next Steps