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
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
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]