What happens when AI-generated code ships faster than humans can properly review it, and who takes the blame when something breaks?

In this episode of AI at Work, I sit down with Cameron Etezadi, Chief Technology Officer at LaunchDarkly, to tackle one of the most uncomfortable questions facing modern software teams. As developers increasingly rely on AI coding assistants, copilots, and public LLMs to accelerate delivery, organizations are finding themselves caught between productivity gains and growing governance risks.

Cameron explains why “Shadow AI” has become the modern evolution of Shadow IT, and why the stakes are far higher when AI-generated code is moving directly into production systems. We explore how engineering teams are balancing innovation with accountability, why runtime controls and kill switches are becoming essential ...