In this episode, we shine a light on the often-overlooked technical debt created by AI-generated code in agentic AI systems. While autonomous agents can rapidly write and execute code to automate workflows, the speed and scale come with hidden costs—such as inconsistent logic, poor documentation, and long-term maintainability risks. We explore how organizations can manage this debt, implement guardrails, and ensure code quality without sacrificing the agility that agentic AI brings. With insights on versioning, observability, and human-in-the-loop governance, this episode is essential listening for engineering leaders and architects deploying AI at scale.