Our new code review agent design now optimizes for catching as many bugs as possible; it identifies ...
- 新代理设计显著提升高价值bug召回率（+50%）
- 在实际阻止的bug数量上已超过人类审查者
- 通过上下文引擎维持高精度，未增加误报率
We achieve this without compromising on the false" / X
Augment Code on X: "Our new code review agent design now optimizes for catching as many bugs as possible; it identifies 50% more high-value bugs than before (higher recall), and is now far ahead of human reviewers in terms of real bugs prevented. We achieve this without compromising on the false" / X
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Our new code review agent design now optimizes for catching as many bugs as possible; it identifies 50% more high-value bugs than before (higher recall), and is now far ahead of human reviewers in terms of real bugs prevented. We achieve this without compromising on the false positive rate (i.e. precision remains high) because our context-engine helps the agent pull in the right code-context to verify the accuracy of every suggestion. Read more from
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Martian
@withmartian
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Apr 16
Replying to @withmartian
When you filter to PRs where someone actually engaged with the PR after the review, scores shift significantly. @OpenAI’s Codex sees the largest swing at +17.2pp. @augmentcode climbs to #2 in F1 with +12.3pp. Some tools score higher when nobody engages, others score higher when
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-  Augment Code @augmentcode Follow Click to Follow augmentcode Intent is today's software development workspace. Orchestrate multiple agents, steer them from a living spec, and ship without ever leaving your workspace.
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