Windsurf trained a specialized bug-catching small model using RL, and in internal evaluations, it has matched Claude Opus 4.6.

ME News Report, April 15 (UTC+8), according to Beating Monitoring, the parent company of AI programming tool Windsurf, Cognition AI, has partnered with AI training company Applied Compute to train a model specifically for code bug detection, SWE-Check, using reinforcement learning. The model analyzes the user’s current code changes (diff), automatically flags potential bugs, and provides repair suggestions. In evaluation datasets with the same distribution as training data, SWE-Check’s F1 score has matched Claude Opus 4.6 (the gap has decreased from 0.09 to 0); in cross-distribution evaluations, the gap has narrowed from 0.49 to 0.29, still behind cutting-edge models but showing significant progress. The key advantages are speed and cost: SWE-Check runs an order of magnitude faster than state-of-the-art models, with greatly reduced inference costs, enabling real-time, free bug detection within IDEs—something that large models like Opus 4.6 cannot do through direct calls. Two training design aspects are worth noting: 1. Reward linearization: The team aims to optimize the global F-beta metric, but this metric cannot be directly decomposed into individual samples. They convert the global metric into a per-sample reward function via first-order approximation, allowing effective optimization of the overall metric. Early versions had high false positive rates, so the team adjusted beta from 1 to 0.5 to emphasize precision. 2. Two-stage post-training: The first stage focuses solely on maximizing bug detection ability without penalizing latency; the second stage introduces latency penalties based on the real user distribution of how long they wait after triggering detection before switching away. This staged approach outperforms simultaneous optimization of both objectives, which can lead to local optima, such as learning to be very fast but shallow in analysis. SWE-Check’s preview version is now available in Windsurf Next (shortcut cmd+U), and will later be integrated into Windsurf’s official release. (Source: BlockBeats)