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Cognition Releases SWE-grep and SWE-grep-mini: Fast AI Models for Context Retrieval in Coding

By

meetpateltech

7mo ago· 10 min readenNews

Summary

Cognition has developed SWE-grep and SWE-grep-mini, two specialized AI models designed for fast, parallel context retrieval in coding environments. These models match the retrieval capabilities of frontier coding models while being significantly faster, addressing the speed-intelligence tradeoff in modern coding agents. The models are now available in Windsurf's Fast Context subagent and a dedicated demo playground, aiming to improve developer workflow by reducing the time spent on context retrieval before actual code editing.

Key quotes

· 4 pulled
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.
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.
Snippet from the RSS feed
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 Fas

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