Some of the hardest work in code review happens outside the changed lines. A change can look correct in isolation and still break code elsewhere in the system. That is what makes our early results for OpenAI's GPT-6 Astra most interesting. In our evaluation, Astra caught approximately 4% more labeled bugs through actionable findings than GPT-5.6 Sol, and 22% more than Opus 5. The biggest jump comes on harder cross-file reviews, where Astra's gains reach 20% over Sol and 33% over Opus 5. Using that capability at customer scale also means protecting customer data and assessing the model’s public