Coordinate sub-agents to monitor PRs and fix prod bugs
A Cursor Projects coordinator agent delegates to sub-agents, watches new PRs and production bugs, spins up agents to fix issues, and surfaces questions to the user.
Ordewell takes a single goal and breaks it into an ordered plan of tasks for coding agents.
Ordewell takes a single goal and breaks it into an ordered plan of tasks for coding agents.
You give Ordewell a goal. A planner, which can be a coding agent running read-only, researches the repo and asks clarifying questions. It then commits a plan where each task has its own runner, model, effort and mode. You can edit the plan before running it. On run, it starts a real coding-agent session per AI task, in parallel where dependencies allow, and passes each task its predecessors' results.
In the README's example, a rate-limiting goal became a four-task plan (three AI, one manual) that finished with 4 completed, 0 failed. A task passes only when its completion marker appears in the runner's output. No benchmarks are given.
The TUI needs tmux, and Windows users must run it under WSL. Parallelism defaults to 3 concurrent sessions (configurable from 1 to 5).
I have one goal: [describe your goal]. Read my repo at [path] and break this goal into an ordered plan of small coding tasks, noting which tasks depend on others and what done looks like for each. Save the plan as PLAN.md and stop there without changing any code, so I can review it first.
A Cursor Projects coordinator agent delegates to sub-agents, watches new PRs and production bugs, spins up agents to fix issues, and surfaces questions to the user.
Ran a Cursor agent continuously for 24 hours to build a project management tool; the app fully works but is not production ready.
The author had ChatGPT take the Session Buddy extension source from Chrome, port it to Safari and install it, taking about 20 minutes.