[Part 2/3] AI and DevOps: Balancing Innovation and Responsibility

Series: 10x your DevOps Engineering in the AI Era
A 3-part hands-on workshop series for DevOps engineers who want to work smarter with AI. Across three sessions, we'll build one complete project on AWS , from writing infrastructure code with AI assistants, to shipping it through AI-powered pipelines, to monitoring it with self-healing AI agents. Each session is 1 hour: concepts, live demo, and Q&A. All code and resources shared after each session. Whether you're just getting started or looking to level up, this series will change how you do DevOps.

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Part 1: The Dev — AI-Powered Infrastructure as Code

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Part 2: The Pipeline — AI-Powered CI/CD
Your infrastructure code is AI-generated. Now how do you ship it safely? This session covers the bridge between Dev and Ops the CI/CD pipeline. We'll use AI to generate complete GitHub Actions workflows from a 10-line specification, set up pre-commit hooks that catch security issues before code leaves your machine, and add AI-powered PR reviews that flag misconfigurations automatically. You'll learn the current AWS CI/CD stack (CodePipeline V2, CodeBuild, CodeDeploy), how GenAI fit into pipeline workflows, and how to build automated testing gates with AI-generated Checkov policies and Terratest. Live demo: zero to a production-ready Terraform deployment pipeline with security scanning, plan review, and approval workflows built almost entirely by AI.

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Part 3: The Ops — AI-Powered Monitoring & Self-Healing