The performance characteristics are attractive with incredibly fast cold starts and minimal memory overhead. But the practical limitation is language support. You cannot run arbitrary Python scripts in WASM today without compiling the Python interpreter itself to WASM along with all its C extensions. For sandboxing arbitrary code in arbitrary languages, WASM is not yet viable. For sandboxing code you control the toolchain for, it is excellent. I am, however, quite curious if there is a future for WASM in general-purpose sandboxing. Browsers have spent decades solving a similar problem of executing untrusted code safely, and porting those architectural learnings to backend infrastructure feels like a natural evolution.
if (done) break;
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Spin up sandboxed Linux containers pre-loaded with AI coding tools (Claude Code, Codex, OpenCode via mise). Each container gets SSH access, ZFS snapshot-based checkpoints, and network egress policies that control what the agent can reach. Managed entirely from the CLI over TrueNAS WebSocket API.
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In the next step, words that are Cognate with Modern English are replaced. Note I am only replacing the cognates that are very obvious.