SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios
Published:Dec 20, 2025 19:08
•1 min read
•ArXiv
Analysis
This article introduces a benchmark, SWE-EVO, for evaluating coding agents in complex, long-term software evolution tasks. The focus on long-horizon scenarios suggests an attempt to move beyond simpler coding tasks and assess agents' ability to handle sustained development and maintenance. The use of the term "benchmarking" implies a comparative analysis of different agents, which is valuable for advancing the field. The source, ArXiv, indicates this is likely a research paper.
Key Takeaways
Reference
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