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Deterministic AI Agents in Mission-Critical Systems: Why Microfrontend Boundaries Matter

This story is from 2026-10-08. It is preserved in the archive; the latest stories are on the live feed.

You've deployed an LLM agent to production to automate customer workflows. It's trained on your entire codebase, your entire state tree, your entire API surface. It works. Then it doesn't. It hallucinated a payment endpoint. It mutated shared state. The entire system broke. Now imagine the same age…

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  1. 2026-10-08 08:10 · DEV Community — AI
    Deterministic AI Agents in Mission-Critical Systems: Why Microfrontend Boundaries Matter

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