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Your AI Agent Is One rm -rf Away From Disaster. Here Is What I Found After 5 Sandbox Experiments.

Five isolation experiments running hostile, LLM-generated code. All four isolation boundaries held, and boots averaged 1.121s with only 148ms of variance.

SBX-01C4SBX-01E3SBX-0202SBX-0221SBX-0240SBX-025FSBX-027ESBX-029DSBX-02BCSBX-02DBSBX-02FASBX-0319SBX-0338SBX-0357SBX-0376[ RUNTIME: ACTIVE ] P50 2.45S · P99 4.12S · 5M/PROJECT

Darshan runs five experiments feeding hostile, LLM-generated code to a sandbox and checks whether the walls hold. All four isolation boundaries do, with latency receipts kept throughout: boots average 1.121s with only 148ms of variance. A good first read if you're deciding whether agent-generated code needs a microVM or just a container.

We didn’t write this one — it’s Darshan Daga’s piece, published on Towards AI. The note above is ours; the full article is theirs.

Read the full piece on Towards AI
DD
WRITTEN BYDarshan DagaCommunity · Towards AI
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◆ THE SANDBOX DIGEST

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