Cloud Subagents with /in-cloud and /babysit
Parallel cloud work needs isolation and a clear merge point.
Use the right surface
After this you can pick Cloud subagents for the right job and define done.
Done means you can launch, supervise and reconcile cloud subagents safely.
Cloud agents help when work needs isolation, artifacts, handoff or parallel execution.
Use Cloud subagents when several independent tasks can run in parallel cloud environments. Keep the boundary narrow.
Start small. Name the job, attach the context that proves the point and decide what evidence would make the output trustworthy.
Read the loop before touching the controls. The first beat frames the work, the second uses Cursor, the third checks the result and the fourth leaves a handoff someone else can inspect.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
Run this loop in a real repo.
- Entry point
- /in-cloud, /babysit and cloud subagent workflows
- Source
- Subagents docs and June 2026 Cloud AgentsAgents that run in a Cursor-managed virtual machine, check out the repo, do the work and open a pull request, then shut down, with no load on your laptop. changelog
Use the source as the product reference.
Ask Cursor for an output you can inspect.
If the output cannot be checked, narrow the task before you continue.
A good run leaves a file, setting, screenshot, command result or written claim you can verify.
Takeaway. Done means you can launch, supervise and reconcile cloud subagents safely.
Self-check
QWhen should you reach for Cloud subagents?
Run it
After this you can do the task with clear scope and one proof point.
Treat this as a short practice loop, not a product tour. The task should be small enough that you can inspect the result without trusting the summary.
- 1Split independent tasks before launching
/in-cloudsubagents. - 2Give each subagent its own branch, goal and verification artifact.
- 3Use
/babysitonly when the PR has a clear merge-readiness loop. - 4Review and merge outputs one at a time.
The exercise is complete only when the proof matches the requested outcome. If the proof is weak, reduce the scope or fix the context instead of adding more instructions.
Keep the task small enough to review.
Artifacts, branches and PRs identify what changed.
Takeaway. Stop when you have proof: Each subagent owns a separate task boundary..
Self-check
QWhich habit makes this workflow safe to use on a real project?
Check it
After this you can find the first failed check before changing tools.
Verification decides the next move.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
Pick a row to see what to look for.
Use the first failure signal as the next prompt. Broad retries usually make the run noisier; a narrow retry gives Cursor a concrete repair target.
No proof means more checking.
Use a real repo or admin setting. Save the prompt, context and proof.
Takeaway. If it fails, find the first failed check.
Self-check
QThe workflow failed. What is the best first move?