AI / OpenClaw Interview Questions
Which is better and why: running OpenClaw sandboxed inside Docker vs running it directly on a trusted personal device?
| Sandboxed inside Docker | Directly on a trusted personal device |
| Contains a compromise within the sandbox boundary in most cases | A compromise has the same reach as the launching user account |
| Added setup and some operational overhead | Lowest friction, fastest to get running |
| Well suited to shared infrastructure, exposed deployments, or unvetted skills | Reasonable when every skill in use has been personally audited |
| Doesn't eliminate risk from skills granted legitimate broad permissions | Relies entirely on the operator's own discipline about what gets installed |
Neither is universally correct, security guidance frames this as a trust calculus rather than a fixed rule: on a fully trusted personal device where you've personally vetted every installed skill, disabling sandboxing for lower friction is a defensible choice. The moment either of those conditions isn't true, shared infrastructure, community skills from ClawHub, or a deployment reachable from beyond your own network, the isolation Docker-based sandboxing provides becomes the better default, since the whole point of sandboxing is to contain exactly the kind of mistake that's hardest to fully rule out in advance.
What does Docker-based sandboxing primarily provide?
When does running directly on a trusted device become a defensible choice?
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