Story
We gave terabytes of CI logs to an LLM
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Overview
An AI agent analyzed terabytes of continuous integration (CI) logs by generating SQL queries, tracing a flaky test back to a dependency change within seconds. The agent requires comprehensive context from all historical logs, processing approximately 1.5 billion log lines and 700,000 jobs weekly.
Summary from mendral.com.
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Community reactions
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Hacker News · mendral.com
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Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-02-27.
- Praise: Developing a tool that reduces log noise using a TF-IDF classifier and BERT model demonstrates innovative approaches to enhance LLM performance in log analysis.
- Praise: The integration of LLMs with SQL for exploratory data analysis shows potential for improving data insights, despite the need for human oversight.
- Concern: LLMs often hallucinate reasons during log analysis, which can lead to misunderstandings in complex scenarios where multiple failures occur.
- Concern: The effectiveness of LLMs in generating SQL queries is questioned, as they may require substantial human input for critical business decisions.