AI code assistants and autonomous agents aren’t "helping” developers anymore - they’re actively generating, modifying and committing code inside your workflow. Code isn’t written line by line. It’s assembled from prompts, context, dependencies and agent-driven actions. For DevOps, Platform Engineering and DevEx leaders, that changes everything and raises many new questions:

* How do you preserve velocity when AI code production far outpaces what people can accomplish?
* Who owns the outcome when agents, not humans, introduce risk?
* How do you prevent AI-generated technical debt from silently piling up in your pipelines?

In this session, former developers turned platform and solutions leaders unpack what’s really happening inside AI-driven development environments. In this session, you'll learn:

* How AI assistants and agents actually generate and modify code
* How agents interact with repositories, CI/CD pipelines and services
* Where hidden risk, friction and operational blind spots are emerging
* Why traditional DevOps controls weren’t built for AI-authored code

You’ll leave with clear, actionable ways to introduce visibility, guardrails and automation - without disrupting developer flow or slowing down delivery.