Why Individual AI Gains Don't Shorten Team Cycles: Fenxiang Xiaoke's R&D Overhaul
The article explains why individual AI coding speed fails to reduce team delivery cycles, identifying organizational handoffs and waiting as the real bottlenecks. It details Fenxiang Xiaoke's restructuring of R&D systems into an AI-callable knowledge environment, agent-driven root-cause diagnosis, and cross-repo task execution, shifting from human-centric alerts to agent-first diagnostics and splitting large tasks into independently verifiable value slices.
