Qodo’s Default Reviewers: Why We Picked GPT-5.2, Gemini 2.5 Pro, and Claude Haiku 4.5

Qodo's approach to pull request (PR) review focuses on using advanced models to catch bugs, suggest safe patches, and align with developers' workflows in Git, with each model evaluated against a PR Benchmark composed of real-world PRs from multiple repositories. The benchmark assesses models based on their ability to identify critical issues, propose minimal and correct fixes, and adhere to review rules, with top-performing models like GPT-5.2, Gemini 2.5 Pro, and Claude Haiku 4.5 becoming default options for PR reviews. GPT-5.2 excels in in-depth analysis and context-aware suggestions but occasionally misses buried defects, while Gemini 2.5 Pro is noted for its stability, clarity, and low-risk suggestions but lacks depth. Claude Haiku 4.5 provides high precision and cost-efficiency for high-volume PRs but sacrifices coverage. Qodo employs a multi-model strategy to leverage each model's strengths, ensuring optimal review quality and system performance, with Dr. Ofir Friedman leading the development of these AI-driven solutions.