Coordinator fleets showed up from Cursor, OpenAI, and Anthropic in the same week. The review job did not change.

Cursor Projects, the OpenAI Agents API, and Claude Code Projects landed within about a week. Each one is a coordinator, parallel workers, shared memory, and a session that stays up in the cloud. Three companies shipping that layout at once is a category, not a coincidence. The launch numbers are the part I ignore. Thousands of subagents and prettier merge rates describe a demo. The work I actually see is still one agent, sometimes two, then a pull request, a person reading the diff, and CI failing for an ordinary reason. Handing that setup a coordinator does not create a new skill. It scales the one you already have. If you can own code you did not type, spot a change that passes and is still wrong, and refuse generation on the tasks that should stay manual, a fleet helps. If you cannot, you get more diffs and the same review bottleneck. I have not run a bounded migration on any of these yet, so I have no numbers on merge gates, workers editing the same branch, or what a finished pull request costs. That is the only evidence I would trust. The product announcements are not it.