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Comment on What years of production-grade concurrency teaches us about building AI agents

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The Let it crash concept is perfect for deterministic bugs, but does it work for probabilistic errors?

If an LLM returns garbage, restarting the process (agent) with the same prompt and temperature 0 yields the same garbage. An Erlang Supervisor restarts a process in a clean state. For an agent "clean state" = lost conversation context

We don't just need Supervision Trees, we need Semantic Supervision Trees that can change strategy on restart. BEAM doesn't give this out of the box, you still code it manually

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