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title: Prompting Your Infrastructure: The Reality of LLMs in DevOps
description: Argues that LLMs are only useful for DevOps and Kubernetes troubleshooting when given real operational context—CI/CD metadata, live metrics, and Kubernetes...
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og:description: Argues that LLMs are only useful for DevOps and Kubernetes troubleshooting when given real operational context—CI/CD metadata, live metrics, and Kubernetes...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Prompting Your Infrastructure: The Reality of LLMs in DevOps

**[Devtron](https://daily.dev/sources/devtron)** · 7 min read · 1 upvotes · 0 comments

## Summary

Argues that LLMs are only useful for DevOps and Kubernetes troubleshooting when given real operational context—CI/CD metadata, live metrics, and Kubernetes events—rather than acting as generic chatbots. Proposes a Human-in-the-loop (HITL) framework where AI proposes changes, policy-as-code tools like OPA or Kyverno validate them, and engineers give final approval before execution. Positions Devtron's platform as the governed, integrated layer that unifies these data sources so AI agents can move from reactive troubleshooting to predictive operations, such as flagging memory leak trends before they cause outages.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://devtron.ai/blog/prompting-your-infrastructure-the-reality-of-llms-in-devops>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#kubernetes](https://daily.dev/tags/kubernetes), [#gitops](https://daily.dev/tags/gitops), [#policy-as-code](https://daily.dev/tags/policy-as-code), [#devtron](https://daily.dev/tags/devtron)

[View this post on daily.dev](https://daily.dev/posts/prompting-your-infrastructure-the-reality-of-llms-in-devops-mlqo6rqf9)

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