Agent Scrum: Running a team of AI coding agents in two-hour sprints

Over 38 days, a fleet of AI coding agents ran 324 two-hour sprints on a real product backlog, with 79% of committed stories reaching done inside the sprint in the 90 sprints run by a dedicated scrum-team agent and ceremony taking under five minutes per sprint. The paper describes Agent Scrum, which keeps Scrum's core devices (time-boxed sprints, committed sprint backlogs, story points, velocity, a Definition of Done and retrospectives) but changes their scale and constraints, with capacity coming from model rate limits and cost measured as token velocity. It reports that the slowest stage was not writing code (median approval-to-merge time equalled median build time) and that compounding was weakest, with 119 of 159 retrospective actions still open.