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The article covers how developers should organize an AI agent's code inside Docker Sandboxes, choosing among shared mounts, Git worktrees, and clone mode. For AI readers, the main point is the trade-off between letting agents work directly on host-visible files and isolating their changes, which affects both safety and workflow. The listing also points to a broader push by Docker to frame sandboxing and output verification as core parts of running coding agents.
Where should your code live in a Docker Sandbox?

Docker Sandboxes support three ways to organize an agent’s code: shared mounts, Git worktrees, and clone mode. Here’s how to choose between them.
Sep 24, 2026 Manufacturing Trust for AI Agents | Docker’s WeAreDevelopers Keynote Docker’s WeAreDevelopers keynote shows how Sandboxes, Kits, and Cloud Sandboxes give AI agents…
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