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Why 90% of AI Agents Fail in Production (And How to Build Resilient Ones)

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

When building an LLM prototype, calling an API is simple: you send a prompt via fetch() , await the response, and display the markdown. In a single-turn chatbot, a transient failure is an inconvenience—the user clicks "Regenerate" and life goes on. In autonomous agent systems , this assumption fall…

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  1. 2026-09-04 11:25 · DEV Community — AI
    Why 90% of AI Agents Fail in Production (And How to Build Resilient Ones)

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