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We Ran 736 Tests Across 23 Models to See Why Agents Fail in Production

The default architecture for autonomous AI agents in 2026 relies on a simple premise: give a frontier language model a tool execution sandbox (a bash shell or a Python REPL), feed it high-level objectives, and let it synthesize scripts on the fly. If the script throws a traceback, feed stderr back…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-11-03 09:34 · DEV Community — Machine Learning
    We Ran 736 Tests Across 23 Models to See Why Agents Fail in Production

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