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Why Unit Tests Aren’t Enough for AI Agents (and What Simulation Testing Looks Like)

This story is from 2026-10-15. It is preserved in the archive; the latest stories are on the live feed.

TL;DR Traditional unit tests evaluate isolated, deterministic functions like string formatters and schema parsers, making them incapable of catching non-deterministic failures in multi-turn agent execution loops. AI agents fail dynamically across sequential tool calls through state drift, hallucina…

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  1. 2026-10-15 09:54 · DEV Community — AI
    Why Unit Tests Aren’t Enough for AI Agents (and What Simulation Testing Looks Like)

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