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Cognition | Introducing SWE-grep and SWE-grep-mini: RL for Multi-Turn, Fast Context Retrieval

cognition.ai · 2,287 words · saved by 3 readers

We trained SWE-grep and SWE-grep-mini, fast agentic models specialized in highly parallel context retrieval. They match the retrieval capabilities of frontier coding models, while taking an order of magnitude less time. Available now in Windsurf’s new Fast Context subagent, and our new SWE-grep demo playground!

TL;DR: We trained SWE-grep and SWE-grep-mini, fast agentic models specialized in highly parallel context retrieval. They match the retrieval capabilities of frontier coding models, while taking an order of magnitude less time. Available now in Windsurf’s new Fast Context subagent! Modern coding agents face a fundamental tradeoff between speed and intelligence . Frontier models can solve complex tasks, but it can take minutes of searching before they edit a single file, breaking your flow. In Windsurf and Devin, we observed that our agent trajectories were often spending >60% of their first tur

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Cognition | Introducing SWE-grep and SWE-grep-mini: RL for Multi-Turn, Fast Context Retrieval

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