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Read the original: Cognition Blog (Devin, Windsurf)·Published PickAI score62/100

Cognition introduces SWE-check, a fast RL-trained bug detection model for Windsurf

Original titleIntroducing SWE-Check: 10x Faster Bug Detection

AISummary

Cognition and Applied Compute RL-trained SWE-check, a specialized bug detection model for the Windsurf IDE. It matches frontier performance on in-distribution evals and is an order of magnitude faster with cheaper inference, though it trails frontier models on out-of-distribution evals (delta F1 0.29 versus 0.49 before training).

A preview is available in Windsurf Next, with a mainstream release planned.

AIWhy it matters

The post explains how production environment replication, reward linearization, and two-phase post-training trade bug-detection quality against latency for an IDE specialist model.

Read the original cognition.com

Source: Cognition Blog (Devin, Windsurf) · cognition.com