Platform engineering in 2025 is no longer just about Kubernetes clusters or CI/CD pipelines — it’s about building resilient platforms that are secure, scalable, and ready for AI-driven workloads. In this session, we’ll dive into how AI-first development is reshaping platform design. We’ll explore the shift from static “golden paths” to dynamic guardrails that give developers freedom while ensuring cost efficiency, compliance, and security at scale. Through real-world cloud-native examples and Google Cloud’s AI Development Kit (ADK), we’ll unpack the architectural patterns, tooling, and principles that make platforms AI-ready. Rather than focusing on fundamentals, this talk will highlight concrete practices engineers can apply to build modern platforms — from integrating AI workloads safely to designing systems that scale intelligently with demand. Learning Outcomes / Takeaways: 1. Learn how AI adoption is transforming the architecture of modern platforms. 2. Discover guardrail-driven design patterns for security, compliance, and efficiency. 3. Explore how tools like Google Cloud’s ADK enable secure, scalable, AI-first platforms.