YOLO Studio
A cloud workspace for fleets of AI coding agents
YOLO Studio runs Claude Code, Codex and Gemini side by side in secure Linux sandboxes. Describe what you want, let the Background Runner work it in isolated lanes, and review what comes back.
What’s inside
A sandbox per workspace
Every workspace is a secure Linux sandbox in its own virtual machine, and your files stay put between sessions. You see it as a grid of tiles, grouped onto desktops.
Agents side by side
Claude Code, Codex and Gemini run next to each other in the same sandbox. Turn on YOLO Mode and they stop asking for permission and get on with it.
Kanban boards and a Background Runner
Say what you want and it becomes cards. The Runner works several at once, each in its own isolated lane, and holds anything that needs your review.
Live previews
Your running app lives in the grid. When an agent saves a file, the preview reloads right next to it.
Ship to the web
One command puts what’s in the preview online with YOLO Host. Add your own domain when you’re ready.
Loops and goals
Schedule jobs that keep going until their checks pass, or set a goal with a measure of success and let agents bring back the evidence.
From idea to production in four steps
01
Seed a board
Connect a GitHub repo and describe what you want done. It becomes cards, one outcome each, with acceptance criteria spelled out.
02
Groom the backlog
Reorder cards, sharpen the vague ones, and link the ones that depend on each other.
03
The Runner drains it
The Background Runner picks up ready cards, up to four at a time, each in its own isolated lane.
04
Review what came back
Each card returns a commit and the artifact it promised, with a merge clearance: auto-merge, your review, or blocked.
Put your agents to work
Open a workspace, point your agents at a repo, and watch the board move.
Open YOLO Studio ↗