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Comparison

Cloud vs local coding agents

Coding agents like Claude Code, Codex CLI and Gemini CLI install in a minute and run fine on a laptop. The question is what happens once you trust them with more: longer jobs, several at once, and fewer permission prompts. Here is how the two setups compare.

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At a glance

On your laptopIn a YOLO Studio workspace
Where the agent runsYour machine, as youA Linux sandbox in its own virtual machine
What it can reachEverything your user can: home directory, SSH keys, other projectsThe workspace’s repository and files, nothing else
Skipping permission promptsRisky: a mistake lands on your real machineYOLO Mode inside a sandbox built for it
Several agents at onceSeparate worktrees and ports you manage by handOne lane per agent, each its own git clone
When you close the lidThe agents stopThey keep working; queued cards keep moving
Seeing the resultRun the app yourselfA live preview that reloads as the agent saves
Working offlinePossible, apart from the model callsNeeds a connection

Isolation is what makes autonomy comfortable

Every agent CLI has some way to stop asking before each command. On a laptop that switch is hard to flip with a clear conscience: the agent runs as you, so a bad command can touch anything you can.

In YOLO Studio the agent runs as a non-root user inside a sandbox with its own kernel, network rules that keep it away from other workspaces, and credentials delivered only to that session. Turning on YOLO Mode there trades a small, contained risk for an agent that gets on with the job.

Parallel agents need parallel checkouts

Two agents editing one working copy will overwrite each other. Locally, the fix is git worktrees, separate dev-server ports and a lot of terminal tabs. In a workspace, each agent gets a lane: its own clone of the repository on its own branch, created for you. A Kanban board and the Background Runner can then hand out work to up to four lanes at a time and land the results as pull requests.

When local is still the better choice

Quick, interactive edits

For a short back-and-forth on code you are actively editing, an agent in your own editor and terminal is hard to beat.

Hardware or offline work

If the code needs a device plugged into your machine, or you are working without a connection, run the agent locally.

Code that may not leave your network

If policy says the source stays on company machines, a cloud workspace is not an option, however isolated it is.

Plenty of developers do both: quick edits locally, and longer or parallel jobs in the cloud. yolostart turns a local project into a workspace in one command, after you approve what uploads.

Questions

Which agents can I run in a YOLO Studio workspace?

Claude Code, Codex CLI, Gemini CLI and OpenCode come pre-installed. GitHub Copilot, Kiro, Aider, Goose, Qwen Code and others install the first time you pick them.

Is my code safe in a cloud sandbox?

Each workspace runs in its own virtual machine with default-deny networking between workspaces, a non-root user and per-session credentials. The security page has the details.

Keep reading

How workspaces are isolatedRun Claude Code in the cloudRun Codex CLI in the cloudGuide: run coding agents in parallel

Try it on your own repository

Sign in with GitHub, open a workspace on your repository, and put your first agent to work in a few minutes.

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