How to safely run AI-generated code — a practical sandboxing checklist

A developer from Xingyao Byte published a practical checklist for safely running AI-generated code, emphasizing that every piece of AI-generated code should be treated as hostile. The checklist recommends running each execution in its own fresh sandbox, using disposable sandboxes with no egress, read-only filesystems, capped resources, and full auditing to ensure that even a full compromise of the runtime buys the attacker nothing.

Cross-post. Original: stellarbytecapital.com/blog/how-to-run-ai-generated-code-safely If you're building an AI agent, sooner or later it will write code and you'll have to run that code. The moment you do, you're executing something no human reviewed against your infrastructure. This is a practical checklist for doing that safely — the controls we use in production, in the order they matter. The short version: treat every piece of AI-generated code as hostile, and design so that even a full compromise of the runtime buys the attacker nothing. Before controls, be honest about what can go wrong when you run untrusted code: "The model probably won't do that" is not a control. Design for the case where it does. The single highest-leverage decision: run every execution in its own fresh sandbox, and destroy it after the run. Never reuse. Reuse is where most bugs and attacks live — leaked file descriptors, leftover temp files, mutated globals, a background thread from the last run. If nothing is ever reused, that entire class of problems disappears. To keep it fast, keep a warm pool of ready sandboxes and backfill each one as it's consumed. gVisor , Firecracker is stronger against kernel escapes.For most internal tools, a hardened one-shot container with default-deny egress is a reasonable baseline. If you're multi-tenant or running adversarial code, step up to gVisor or Firecracker — stronger isolation, still cheap with a warm pool. The point is the combination : disposable sandboxes, no egress, read-only filesystem, capped resources, quotas, least privilege, no secrets, full auditing. We're Xingyao Byte — building secure AI-execution layers, quant trading systems, and payment platforms. Remote, async-first → stellarbytecapital.com https://www.stellarbytecapital.com/