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

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.

  • LLM agents in mission-critical systems risk hallucinations and shared state mutations
  • Microfrontend boundaries limit agent context to a single domain, reducing blast radius
  • Scoped agents provide predictability and easier testing in critical environments

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