Integrating Agentic AI Into Internal Developer Platforms To Minimize Errors and Downtime

Learn how to enhance GitOps-based internal developer platforms by integrating AI agents into deployment workflows to proactively validate configurations and minimize production errors in this 27-minute conference talk. Discover practical solutions for addressing common deployment challenges such as misconfigurations that pass staging but fail in production due to policy mismatches, resource requests exceeding quotas, and Kyverno policy conflicts. Explore the implementation of kagent, an AI system that analyzes live cluster states, Git repositories, and runtime configurations to detect semantic issues before they cause failed scheduling, degraded availability, or blocked rollouts. Understand how AI agents can provide human-readable feedback directly in pull requests, explaining potential risks in natural language and preventing critical API or routing breaks caused by unvalidated configuration changes. Gain insights into transforming traditional GitOps workflows with agentic AI to achieve better consistency, repeatability, and reliability in cloud native environments.