One signal

Docker says its Sandboxes run AI coding agents inside isolated microVMs, each with its own Linux kernel and private Docker Engine. The design also uses a hypervisor boundary and host-enforced network controls.

That matters because ordinary containers share the host kernel, while an agent running code may need a tighter fence around its workspace. Docker’s comparison gives developers a practical distinction to weigh when choosing how to contain an AI agent, though the article’s security claims are the company’s own. A sandbox is not magic; it is a boundary whose configuration still matters. But “just run it in a container” is not the only option on the menu.

Discuss: Which should matter more when running AI agents: stronger isolation, or the simplicity of ordinary containers?

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