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How I Stopped an LLM From Skipping the Investigation, Looping Forever, and Inventing Pods — Without LangChain

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

An agent loop is just a for loop. The hard part is the invariants inside it. LLMs misbehave in predictable ways: they skip steps, invent tools, loop forever, and fabricate evidence. Every failure can be caught by a small, deterministic guardrail that replies with feedback instead of crashing. 3 a.m…

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  1. 2026-10-27 07:46 · DEV Community — AI
    How I Stopped an LLM From Skipping the Investigation, Looping Forever, and Inventing Pods — Without LangChain

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