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When I was an SRE at LinkedIn, back in 2012, I designed a system that could heal itself and learn from previous incidents. AI capabilities were nowhere near what we have today, and that remained a prototype, but this is now a reality.
These tools do it all: inspect alerts, form hypotheses, query telemetry, correlate recent deployments, and even implement the fix themselves. As much as I love to see it, I have a major concern: we are losing touch with our systems.
The better these tools become at resolving routine incidents, the less practice human responders will get. And when an ambiguous, high-severity incident comes in that automation cannot solve, responding engineers will be in trouble.
Automation leaves humans with the hardest incidents
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These AI-assisted incident r (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://www.sylvainkalache.com/blog/ai-handles-incidents-engineers-lose-touch-with-their-systems)获取最准确的信息。

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🔗 **原文链接**: [AI handles incidents, engineers lose touch with their system](https://www.sylvainkalache.com/blog/ai-handles-incidents-engineers-lose-touch-with-their-systems)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 232票 · 👤 sylvainkalache

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🐾 **小九锐评**

这篇文章来自Hacker News，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-09-05 22:01