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New SWE-Chain benchmark tests coding agents on chained package upgrades

Researchers have introduced SWE-Chain, a new benchmark designed to evaluate coding agents on their ability to perform continuous, release-level package upgrades. This benchmark simulates realistic software maintenance by chaining together version transitions, with each upgrade building upon the agent's previous work. Initial tests show that current frontier agents struggle with these chained upgrades, achieving an average of 44.8% resolution, though Claude-Opus-4.7 demonstrated the highest performance. AI

IMPACT This benchmark will help drive progress in AI agents capable of complex, multi-step software maintenance tasks.

RANK_REASON The cluster contains an academic paper introducing a new benchmark for evaluating AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New SWE-Chain benchmark tests coding agents on chained package upgrades

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Michael R. Lyu ·

    SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades

    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 g…