What AI PR Reviews Provide
Security Analysis
Identify security issues in code changes
Contextual Suggestions
AI-generated fix recommendations
Priority Ratings
Critical, High, Medium, Low priorities
Confidence Scores
How certain the AI is about each finding
Enable AI PR Reviews
How It Works
The AI autonomously reviews every PR for security:- Understands What Changed: Analyzes code intent and architecture impact
- Analyzes Security Impact: Traces how changes affect security
- Thinks Across Files: Sees connections across multiple files
- Provides Specific Fixes: Code examples tailored to your framework
- Rates Priority and Confidence: Clear guidance on urgency
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 feedbackPR Review Components
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
Inline Comments
Posted on specific lines with vulnerabilities:- Issue description
- Security impact
- Fix recommendations
- Code examples
- Priority and confidence scores
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
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
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