Phase 7: CI/CD Pipelines for AI Code · 50 min · Claude API · GitHub Actions · Python
AI Code Review Automation
Use a second AI model to review the first model's code. The dual-model review pattern catches what SAST misses.
Real-world application: Engineers who can integrate AI code review as a CI gate alongside SAST and mutation testing demonstrate cutting-edge AI DevOps skills.
What you will learn
- Automate AI code review in CI using a second AI model
- Apply the dual-model review pattern to catch security and correctness issues
- Integrate AI review as a CI gate alongside SAST and mutation testing
- Configure AI review thresholds and severity classification
Introduction
AI Code Review Automation
Objective
Run the AI code review simulator on 4 AI-generated files. Observe the dual-model review pattern (GPT-4 generates, Claude reviews), findings classified by severity, novel vulnerabilities that SAST would miss, and the CI review gate status. Identify which findings are novel vs SAST-detectable.
Use a second AI model to review the first model's code. The dual-model review pattern catches what SAST misses.
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