As application developers accelerate their output with AI-assisted coding tools, platform engineers face mounting pressure to keep pace. Can nondeterministic AI agents help bridge this gap, or are they a troublesome new source of complexity and unpredictability? What common challenges cause these AI initiatives to stall, and what does a “minimum viable” platform foundation for success actually look like? How do teams evaluate agent effectiveness and manage the cost implications of AI in production? How can platform engineers build trust in nondeterministic systems, and how does the human–agent collaboration model differ from traditional team dynamics?
This vendor-neutral KubeCon panel brings together platform engineering leaders, project creators, and technical experts to share practical insights on the real-world impact of AI agents in platform engineering, offering proven patterns for defining golden metrics, avoiding common pitfalls.