AI RESEARCH
SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades
arXiv CS.CL
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ArXi:2605.14415v1 Announce Type: cross Coding agents powered by large language models are increasingly expected to perform realistic software maintenance tasks beyond isolated issue resolution. Existing benchmarks have shifted toward realistic software evolution, but they rarely capture continuous maintenance at the granularity of package releases, where changes are bundled, shipped, and inherited by subsequent versions. We present SWE-Chain, a benchmark for evaluating agents on chained release-level package upgrades, where each transition builds on the agent's prior codebase.