Corey Burke

AI is changing how software is built and operated, from generating and reviewing code to testing, deployment and reliability. But the impact is uneven and introduces new risks. This panel brings CTOs together to examine how the software lifecycle is actually evolving. Where does AI meaningfully accelerate delivery and where does it create new bottlenecks? How do CI/CD, debugging and incident response change when AI generates code? Expect candid perspectives on what’s working, where it breaks down and how engineering leaders should adapt. This session is being conducted under Chatham House Rules. To foster an open and candid discussion, participants are expected to treat all information shared during the session as confidential. Information, comments, viewpoints, and materials discussed may not be referenced, disclosed, attributed, distributed, or shared outside of this session without the express permission of the organizers and participants.

AI is accelerating how software gets built, but it’s also raising the stakes on control and reliability. In this session, we explore how teams can move faster without losing sight of risk. As AI reshapes development workflows, the conversation will examine how organizations maintain visibility, enforce standards and ensure systems behave as expected. Speakers will share lessons learned on balancing speed with stability, and what it takes to scale both in modern engineering environments.