Developer Uses Three-Role AI Loop to Clear 41-Task Backlog in One Week

A software developer processed a 41-task backlog across two code repositories in one week by building an AI-assisted workflow divided into three roles: a judge, a builder, and a human reviewer. The judge role, powered by a stronger AI model, re-evaluated each task for relevance before any implementation began, preventing code from being written on outdated or invalid premises. By the end of the first full day of operation, open tasks dropped from 41 to 22, with 27 tasks closed and 13 branches merged. Notably, several tasks were resolved without writing any code at all, as the judgment pass alone identified work that was no longer necessary. The developer concluded that the primary bottleneck in AI-assisted task automation is not coding capacity but the judgment layer that must precede it.