A comparison of GPT-6 Astra and GPT-5.6 Sol code review models found that despite Astra's 2.5x higher cost and superior precision (95% vs 85%), Sol identified more confirmed bugs across 50 pull requests (107 vs 91) at lower cost per bug ($0.039 vs $0.062). The study highlights that meaningful code review evaluation requires measuring both bug detection and false-positive rates, not just raw findings.
CodeRabbit Triage helps engineering teams prioritize pull requests by scoring them from P0 to P3 based on urgency, risk, and ownership context, addressing the challenge that AI agents can now generate code faster than human teams can review it. The tool recognizes that while code generation is cheap, review capacity remains limited and human judgment is still essential for architectural decisions, so teams need deliberate prioritization rather than simple FIFO queues.