Most teams have “done DevOps” and “built a platform,” but still wrestle with core problems: platforms developers dodge, AI that degrades delivery performance, rising cloud bills, and incident response lagging behind cloud-native complexity. This talk looks at those pain points through the lens of real‑world data and stories, then shows what good looks like when you treat your internal platform as a product: opinionated golden paths, security and compliance as invisible defaults, AI used where it genuinely reduces cognitive load, and SLO‑driven reliability baked into every change, using Harness as the concrete reference implementation for that kind of governed, cost‑aware, AI‑enabled developer experience.

Platform engineering is shifting from assembling DevOps tools to delivering a unified software delivery platform. This session explores how integrated platforms improve developer experience, streamline workflows, and provide platform teams with governance.

AI is accelerating how software is written, but also exposing weaknesses across the delivery lifecycle. This session explores why platform engineering is essential for safe AI adoption and how embedding AI into delivery platforms enables smarter, more reliable software delivery.