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VersusControl/devops-ai-guidelines

A free, MIT-licensed collection of learning paths, tutorials and team guidelines for applying AI in DevOps work, from first tools to AI infrastructure architecture.

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What is it?

This repository is a structured learning resource for DevOps engineers who want to use AI in their work. It lays out an 18-month roadmap from DevOps Engineer toward AI Infrastructure Architect, split into three phases, and links to individual guides on topics such as building MCP servers in Go with Kubernetes, building AI agents with Go and LangChain, an SRE monitoring agent that learns what normal system behavior looks like, and AI-assisted project management with OpenClaw.

Beyond the learning path, it includes material for teams and individuals: a framework for adopting AI safely inside an organization, a set of ready-to-use prompts for daily DevOps tasks, an interview preparation guide covering AI-related DevOps questions, and tips for accelerating AWS certification study with AI tools. Several examples show AI assistants generating AWS infrastructure from natural-language requests.

The content is written in English and is sponsored by Versus Incident, an incident management project from the same maintainers.

Key features

  • 01Phased 18-month roadmap from DevOps engineer to AI infrastructure architect
  • 02Guides for building MCP servers with Golang and Kubernetes
  • 03Tutorials for building AI agents with Golang and LangChain
  • 04An SRE monitoring agent that escalates unexpected issues
  • 05Team framework for adopting AI safely and a set of daily DevOps prompts

Use cases

  • A DevOps engineer looking for a structured path into AI-assisted operations
  • A team lead drafting guidelines for safe AI use across engineering
  • An engineer preparing for AWS certification or AI-related DevOps interviews
  • Someone building an AI agent for monitoring or incident response

Quick start

  1. 1

    Read the 10 AI Prompts for DevOps guide for immediate productivity gains

  2. 2

    Use the AWS certification guide to speed up your AWS learning with AI

  3. 3

    Prepare for AI-related DevOps interviews with the AI Interview Guide

Topics

#devops#ai-agent#mcp#langchain#golang#kubernetes#aws#learning-path#agentic-ai#ai

FAQ

What is devops-ai-guidelines?
A free, MIT-licensed collection of learning paths, tutorials and team guidelines for applying AI in DevOps work, from first tools to AI infrastructure architecture. This repository is a structured learning resource for DevOps engineers who want to use AI in their work. It lays out an 18-month roadmap from DevOps Engineer toward AI Infrastructure Architect, split into three phases, and links to individual guides on topics such as building MCP servers in Go with Kubernetes, building AI agents with Go and LangChain, an SRE monitoring agent that learns what normal system behavior looks like, and AI-assisted project management with OpenClaw.
Is devops-ai-guidelines free to use? What license does it have?
devops-ai-guidelines is open source under the MIT license. Check the license terms before using it in commercial products.
Is devops-ai-guidelines still maintained?
Actively maintained. The last commit to devops-ai-guidelines was on Sep 24, 2026.
What can I use devops-ai-guidelines for?
A DevOps engineer looking for a structured path into AI-assisted operations A team lead drafting guidelines for safe AI use across engineering An engineer preparing for AWS certification or AI-related DevOps interviews Someone building an AI agent for monitoring or incident response
How do I install devops-ai-guidelines?
Read the 10 AI Prompts for DevOps guide for immediate productivity gains Use the AWS certification guide to speed up your AWS learning with AI Prepare for AI-related DevOps interviews with the AI Interview Guide
Where can I get devops-ai-guidelines?
The source code and installation instructions are on GitHub: https://github.com/VersusControl/devops-ai-guidelines

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