Before we publish the first guided project series, I want it to solve problems that matter to practitioners. Which starting point would create the most value for you? • AI-powered Kubernetes troubleshooting • Converting operational runbooks into agent-ready workflows • Incident detection, triage and root-cause assistance • Safe infrastructure automation with approval gates • Building and operating an internal AI platform • MLOps or LLMOps reliability foundations Reply with your top choice and briefly describe your current role or environment. Your answers will help shape the sequence—not just a single project.

Welcome to the Agentic DevOps Collective. This is a free, project-based community for DevOps, Platform and SRE professionals becoming AI-native by building real systems. WHAT WE BUILD AI for DevOps Build agentic runbooks, troubleshooting assistants, intelligent workflows and safely guarded automation. DevOps for AI Learn AI Platform Engineering, MLOps, LLMOps, model serving, observability and production reliability. Learn by building Complete practical learning paths, share proof of work and learn from other practitioners. Human judgment, approval gates and operational control remain central to everything we build. START HERE 1. Watch the community intro video on the About page. 2. Open the Classroom and begin L1 — Foundations of Agentic Ops. 3. Introduce yourself in the comments using the questions below. INTRODUCE YOURSELF • What do you currently work on—DevOps, SRE, Platform, Cloud, Infrastructure, MLOps or something else? • Which path interests you most: AI for DevOps, DevOps for AI, or both? • What operational problem would you most like AI to solve? • Are you here to learn, build or lead? HOW WE WORK • Systems over snippets • Architectures over prompts • Trade-offs over hype • Safe execution over uncontrolled autonomy • Learning by building over passive consumption This is not a generic AI discussion group or a passive content feed. It is a place for serious practitioners to explore how AI changes operations—and how modern operational practices make AI reliable in production. You do not need to be an AI expert. Bring your operational experience, curiosity and willingness to build. Introduce yourself below and tell us which path you want to explore first. Welcome to the Collective.