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GoodBarber AI builder bug: silent model thinking killed jobs

A software engineering team at GoodBarber discovered a critical bug in their AI Extension Builder's job queue system. The issue arose because the system's heartbeat mechanism, which signals a running generation's activity, was tied to model output rather than the model's thinking process. This meant that during the initial, silent phase of a reasoning model's operation, the system incorrectly perceived the job as dead, leading to premature termination and wasted compute resources. The problem was exacerbated by a recent refactor that removed a safeguard previously in place for paused generations, making them more susceptible to this failure. AI

IMPACT Highlights the challenge of integrating LLMs with existing job queue systems, particularly when models have silent thinking phases.

RANK_REASON This is a bug report and technical explanation of a specific software issue within a product, not a novel release or industry-wide development.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GoodBarber AI builder bug: silent model thinking killed jobs

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This is a bug report and technical explanation of a specific software issue within a product, not a novel release or industry-wide development.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Pierre-Laurent Medori ·

    Reasoning models think in silence. Our job queue read silence as death.

    <p>One morning, our daily automated code review flagged a refactor we had just pushed. The finding fit in one line: in the new code, nothing renews a running generation's heartbeat while the model is thinking, so a generation can be reclaimed as dead while it's still working, and…