UC Berkeley's 'Evolving Agent Teams' paper shows a supervisor-led team of coding agents surpasses expert-level GPU kernel optimization.
A new paper from UC Berkeley titled 'Evolving Agent Teams' argues that a single coding agent stalls when optimizing GPU kernels. It notes that Claude Code achieves only 0.51x the performance of FlashInfer on the MLA decode kernel.
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Direct useCodex repair test: when 0007 becomes 7, how do you verify the patch? ↗OpportunitiesOne person runs a company in Hangzhou, using AI employees to take on development requests, while also discussing AI team building ↗News and AnalysisCan Claude Code handle Conductor workflows? ↗Open-source projectHow to choose the right Claude Code terminal agent? ↗Return to original text
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