michelabboud

AI And Claude Code Intro — DevOps skill for Claude Code

DevOps community

A 25-chapter hands-on book for DevOps engineers: AI/LLM fundamentals, Claude Code mastery, MCP, n8n, multi-agent systems, AIOps and production RAG.

How to install AI And Claude Code Intro

This entry records only its repository, not the path inside it, so there is no exact command to give. Open michelabboud/ai-and-claude-code-intro and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What AI And Claude Code Intro does

A 25-chapter hands-on book for DevOps engineers: AI/LLM fundamentals, Claude Code mastery, MCP, n8n, multi-agent systems, AIOps and production RAG.

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README

AI and Claude Code: A Comprehensive Guide for DevOps Engineers

**From AI fundamentals to professional Claude Code workflows**

[![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/)

**License Notice:** This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Free for personal and educational use. Commercial use requires written permission from the author.

**Claude Code Version:** This guide covers features up to **Claude Code v2.1.4 (January 2026)** including the unified skills/commands system, hot-reload, sub-agent context forking, and latest environment variables. See [CLAUDE.md](./CLAUDE.md#claude-code-version-information) for detailed version information.

Welcome to this comprehensive guide designed specifically for DevOps professionals who want to master AI tools and integrate them into their daily workflows. Whether you're new to AI or looking to advance your skills with Claude Code, this guide has you covered.

Who This Guide Is For

This guide is designed for:

DevOps Engineers who want to leverage AI in their workflows
SREs looking to improve incident response with AI
Platform Engineers wanting to automate infrastructure tasks
Technical professionals seeking a hands-on introduction to AI and LLMs

Prerequisites:

Basic understanding of Linux/Unix command line
Familiarity with DevOps concepts (CI/CD, containers, IaC)
No prior AI/ML experience required

What You'll Learn

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