Cognition· Updated
Cognition released SWE-check, a specialized bug detection model that matches the performance of frontier models like Opus 4.6 while running ten times faster. By RL-training a smaller model specifically for code analysis, the team achieved high-accuracy bug finding without the latency that typically breaks a developer's workflow.
Opus 4.6 while running ten times faster.General-purpose models often suffer from high latency that breaks a developer's focus. SWE-check avoids this by using a two-phase training approach: first maximizing bug-finding capability, then applying a latency penalty based on real user data to compress the model's reasoning without sacrificing its specialized skill.
You can access a preview of SWE-check today in Windsurf Next using the cmd+U shortcut, with a mainstream release for Windsurf coming soon. The model provides structured bug descriptions and fixes directly in the IDE, enabling a near-real-time experience that keeps you in flow.
Today we're releasing SWE-check, a specialized bug detection model we RL-trained with @appliedcompute that matches frontier performance on internal in-distribution evals and makes meaningful progress on out-of-distribution evals, all while running 10x faster. https://t.co/PojZxeiCaa
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