Evolving Agent Teams

A new UC Berkeley paper introduces Evolving Agent Teams, in which a supervisor diagnoses plateaus in coding-agent teams and rebuilds roles such as profiler, debugger, and knowledge integrator, with a shared file system carrying lessons across teams. On the MLA decode kernel it reached 0.74x FlashInfer speed under the same token budget versus 0.31x for a fixed four-role team, and 1.21x with more budget, winning 36 of 47 production workloads.