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This 58-minute talk explores how platform engineering must adapt to the rise of generative AI while maintaining its core principles. Principle AI Platform Architect Cansu Kavili-Örnek from Red Hat shares her firsthand experience of how internal platforms enhance developer experience, security, and resilience in the face of AI transformation. Learn how to evolve internal developer platforms to support AI-driven application development, gain clarity on generative AI's impact on platform engineering practices, and discover strategies for enabling intelligent application development without compromising fundamental platform engineering values. Drawing from her expertise bridging DevOps and MLOps to build scalable AI platforms, Kavili-Örnek offers practical guidance for platform engineers navigating this technological shift while maintaining their commitment to open source and effective AI adoption.
