We’ve all seen the demos where an AI writes a "To-Do" app in thirty seconds. It’s impressive, sure, in the same way a dog riding a bicycle is impressive, but it’s not exactly how we build production-grade software. In the Cloud Native world, the SDLC is messy, our pipelines are held together by legacy YAML, and "moving fast" usually means "breaking things we didn't know existed."

Shifting from simple AI assistants to autonomous agents that can provision infrastructure and remediate incidents, requires us to stop asking "what can it build?" and start asking "how do we manage it without losing our minds?"

This talk will look past the hype to the practical integration of AI-augmented DevOps in a Cloud Native world, exploring the transition from manual to agentic automation, the critical importance of "Human-in-the-loop" guardrails, and why the most important part of AI-driven isn't the code it generates, but the cognitive load it *actually* removes, without making everyone very angry.