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Building the future of software, in public

Orchestrate AI coding agents
in the cloud

Run Claude Code, Codex and Muse Code side by side in secure cloud sandboxes. Plan on a Kanban board, let agents build in isolated lanes, and review what they ship.

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Workspaces

Your computer,
arranged around the work.

Every workspace is a secure Linux sandbox running in its own virtual machine, and your files stay put between sessions. You see it as a grid of tiles: group related tiles onto desktops and switch between them from the tabs.

Coding Agents

Give each agent a job.
Then let them run.

Claude Code, Codex and Muse Code run side by side in the same sandbox. In YOLO Mode, they stop asking for permission and get on with it.

Run Claude Code, Codex or Muse Code in the cloud →
Kanban Boards

Describe it.
Let the queue move.

Say what you want and it becomes cards. The Background Runner works several at once, each in its own isolated lane, waits on blocked cards, and holds anything that needs your review.

How background coding agents work →
Live Previews

See the work
become real.

Your running app lives in the grid. When an agent saves a file, the preview reloads right next to it.

YOLO Host

From workspace
to the web.

One command ships what's in the preview to signup-app.yolo.host. Add your own domain when you're ready.

Loops

Keep useful work
running on its own.

Jobs that run on a schedule and keep going until their checks pass: check every link each morning, triage issues overnight, report back when done.

Goals

Aim at an outcome,
not a task list.

Set a goal with a clear measure of success. Agents pick up its steps, report progress as they go, and bring back evidence. You review it and decide whether the goal is met.

How work gets done in YOLO Studio

Describe the work, shape the plan, let agents build it, and review what comes back.

STEP 01

Seed a Board

Connect a GitHub repo and describe what you want done. The AI breaks it into cards, one outcome each, with the acceptance criteria spelled out.

STEP 02

Groom the Backlog

Reorder cards, sharpen the vague ones, and link the ones that depend on each other. Move what is genuinely ready into your Ready column.

STEP 03

The Runner Drains It

Start the Background Runner and it picks up ready cards, several at a time within your plan's capacity, each worked in its own isolated lane.

STEP 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.

Built for people who build

Everything you need to direct a team of AI agents, in one workspace.

Parallel Agents

Work several cards at once, within your plan's capacity, each agent in its own isolated checkout of your repo.

Checks You Control

Put your type-checks, tests and linting in the card, and agents run them before the work comes back. Automatic landing respects your repository's checks and review settings.

Live Preview Tiles

See your running application in-workspace with hot reload. Supports 30+ frameworks out of the box.

Cloud Dev Environments

Full Linux environments with SSH, persistent storage, and pre-installed development tools.

Dependency-Aware Drain

Cards linked by "blocked by" edges dispatch together, in order, and a dependency counts as met only when the work it points at actually succeeded.

YOLO Mode

Agents work without stopping for approval on every step, inside an isolated workspace. You decide what lands.

YOLO Studio Mailing List

Launch news, new features, and the occasional perk. Straight to your inbox.

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