The rise of AI-generated code and autonomous development agents introduces incredible speed, while simultaneously introducing risk into the cloud native software lifecycle. Platform teams are faced with supporting developer velocity and governing the quality, safety, and compliance of code changes created by and for AI.

This talk explores how platform engineering teams can harness agentic AI to embed continuous, context-aware code quality directly into infrastructure and application pipelines. Based on real-world implementations, platform engineers and AI/ML practitioners will learn how “agentic” workflows enable scalable quality gates that adapt to evolving codebases and organizational standards, assisting human reviews and ensuring trust in AI-driven development.

It's a recurring theme across the cloud-native ecosystem that automation promises increased efficiency and scalability for internal platforms, yet many practitioners find that too much reliance on AI-driven controls can alienate engineers, slow adoption, and inhibit innovation. Both newcomers and seasoned platform engineers are increasingly curious about how to strike a meaningful balance between automated governance and preserving human intuition in workflows such as code reviews, quality gates, and platform onboarding.

This talk aims to clarify the governance landscape for internal developer platforms by examining how automation, AI agents, and policy frameworks interact with human judgment, sharing real practitioner stories as well as emerging techniques. Attendees will see how teams can design trust signals and feedback systems that bring developers into the loop, enabling responsible experimentation and cultural growth alongside scaled automation.

Ultimately, as we witness enterprise platforms moving past simple controls into more human-centered systems, this talk will equip practitioners, advocates, and platform engineers with practical strategies to cultivate trust, encourage adoption, and maintain resilient platforms where automation empowers the human element.