curious what moved it the most for you? I have been measuring claude PR reviews in CI, biggest difference was giving it the diff with the surrounding code upfront instead of letting it go read the repo by itself, roughly half the cost
The actual biggest improvement is reducing the number of review rounds a PR has to go through. We were having too many rounds of drip-feeding new findings, because the AI reviewer is a subjective grader. Even if it found the same finding before, the next time it runs it might score it wildly differently. And it tends to want to score its findings across the whole grading curve, because it thinks that's more correct-looking. Our answer is to use previous rounds scores as anchors for the next round. Since we can't just use the same context and still have good performance, we needed to condense the score report into a small json we send forward.