AI has made engineering teams genuinely faster - but the bill is coming, and it will be paid in more than money. This talk looks at what happens when AI budgets get cut in half: workflows with AI stitched into their spine, engineers who have never debugged without an assistant, and codebases full of generated code that no one truly owns. Skill atrophy is technical debt stored in people, and it has no refactoring. Finally, we'll cover how platform teams can build AI as a detachable dependency rather than a foundation - including one concrete practice you can take back to your team.
DevOps Engineer with over a decade of experience operating large-scale cloud infrastructure, including Kubernetes, petabyte-scale storage, and distributed databases. His work focuses on platform engineering, automation, and the practical adoption of AI in infrastructure operations.
