See Scope Architect on your own project. Get a walkthrough →

In your editor or the cloud.
Same plan.

Work the hard module yourself in Cursor. Queue the rest from your phone and wake up to a pull request. Or let anyone on the plan pick a task and get a PR you merge.

Claude CodeCursorCodexCloud run
hosted mcp · read / write
Pull request opened#128 · feat: stripe webhook

Compatible with

  • CursorCursor
  • Claude CodeClaude Code
  • DevinDevin
  • CodexCodex
  • AntigravityAntigravity

+ more

You, in Cursor, on the hard module.

Connect once. Your agent pulls the next ready task with its acceptance criteria and everything the last session decided, then writes back as it goes. Switch to Claude Code tomorrow and it picks up where Cursor left off.

Where you already work
  • Claude Code, Cursor, Codex, and the rest
  • Connect once, nothing to install
  • Switching agents costs nothing
  • Hosted MCP, if you want the name
Connecting an editor agent to the plan: one step, nothing to install

You, from your phone. Wake up to a PR.

Queue a task, or a whole module, and a cloud agent builds it in a fresh VM with the plan in hand. It streams the log, commits, and opens a pull request. If it needs a decision, it asks on the task. You answer from wherever you are.

Cloud runs
  • Fresh VM, pull request back
  • Live log and a preview link
  • Asks on the task, resumes on your reply
  • No laptop required
Running a task in the cloud: a queued task executed by a cloud agent, ending in a pull request

Marketing picks “update pricing copy.” You merge the PR.

Anyone on the plan can pick a task, queue it, and get a pull request without opening a terminal. The people who own the codebase review and merge it like any other PR. A copy tweak stops being a Slack thread.

Book a walkthrough →
Anyone on the plan
  • Roles decide who can queue
  • Review and merge stay with code owners
  • Attribution on the task
  • Team seats for people who never open an editor
The board a teammate queues a task from; the cloud run comes back as a pull request

Unattended is not unsupervised.

Queue a module and the tasks run in order. Set a cap in tasks, dollars, or minutes and it stops when it hits. Gate each task on your approval, or let it run to the cap. A failed run pauses the queue instead of burning the rest.

Control
  • Run a whole module
  • Caps in tasks, dollars, or minutes
  • Approve each task, or run to the cap
  • Pause on failure
A cloud run in progress in the run lane, with the queue and budget beside it

Mission control for
building with AI.