AI RESEARCH
SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent
arXiv CS.CL
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ArXi:2604.26102v1 Announce Type: cross Large language model agents have achieved remarkable progress on software engineering tasks, yet current approaches suffer from a fundamental context coupling problem: the standard code editing interface conflates code inspection, modification planning, and edit execution within a single context window, forcing agents to interleave exploratory viewing with strictly formatted edit generation. This causes irrelevant information to accumulate and degrades agent performance.