AI RESEARCH
SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios
arXiv CS.AI
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ArXi:2512.18470v5 Announce Type: replace-cross Existing benchmarks for AI coding agents focus on isolated, single-issue tasks such as fixing a bug or adding a small feature. However, real-world software engineering is a long-horizon endeavor: developers interpret high-level requirements, coordinate changes across many files, and evolve codebases over multiple iterations while preserving functionality. We