How much autonomy does the agent get?

Your call per task: ask mode confirms each consequential action; full mode runs to completion under a budget with a complete trace.

Can it work with private repositories?

Yes: clone with your credentials on your computer; secrets stay in the encrypted vault and out of logs.

All use cases

Code migrations & review

Big diffs, split and verified.

Clone on a real machine, fan out to subagents, run tests, review across models.

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Clone on a computer

The repo lives on a cloud machine the agent operates: real dependencies, real test suite.

More about Cloud Computers

Split the work

An orchestrator hands each module to a subagent; changes land as reviewable chunks.

More about Subagents

Run the proof

The suite runs after every chunk; failures route back to the agent that owns them.

More about Code Execution

Review the hard calls

Contested diffs get a second opinion from a different frontier model before merge.

More about Multi-Model Chat

Built from these features

Cloud Computers

Spin up cloud machines your agents can use: per-second billing, hibernate when idle.

Subagents

Parallel subagents, isolated context, full observability.

Code Execution

Sandboxed Python, Node, and shell: agents and you, side-by-side.

Multi-Model Chat

GPT, Claude, Gemini, Grok, Llama: pick mid-conversation, cheapest-first.

Agents

Skills, scoped permissions, persistent memory: any model you pick.

Frequently asked

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