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Docker outlines code organization options for AI agent sandboxes

Docker details shared mounts, Git worktrees, clone mode, and mountless setups for AI agent code checkouts.

Docker introduces BAND AI kit to connect sandboxed AI agents to teams — image from Docker
Image: Docker

Summary

Docker published a guide on organizing code checkouts when using Docker Sandboxes for AI agents. The post outlines several approaches, including sharing a host checkout, using separate Git worktrees, running an independent clone mode, and keeping projects entirely inside a mountless sandbox. Each arrangement changes how humans collaborate with agents and manage Git operations.

What changed

  • Docker Sandboxes support mounting a repository from your host to share a working tree with an AI agent.
  • Git worktrees give each task a directory and branch.
  • Clone mode gives the agent a separate checkout with Git available inside the sandbox while mounting the host source as read-only.
  • A mountless sandbox has no host workspace directory attached.

Availability

Available now

“sbx supports both.”

Founder takeaway

Review the Docker Sandbox documentation on direct mounts, clone mode, and host worktrees to decide how to structure code access for your AI coding agents.

Source

DockerDocker Sandboxes: Where Should Your Code Live? | Docker

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