


We gathered data from hundreds of engineering teams to answer one question: Is AI saving us or burying us? This panel unpacks the latest "State of DevOps" findings, revealing a stark correlation between high-performing teams, low burnout, and the strategic use of AI-driven insights. Learn why the best teams aren't just coding faster, they are measuring better to eliminate the hidden "toil 2.0" that slows everyone else down.



Join leaders from United Airlines, Modernize, and Harness as they dissect the reality of scaling DevOps in a high-stakes, regulated environment. They will explore how to balance the pressure for rapid AI adoption with the non-negotiable need for system reliability, security, and compliance. Walk away with battle-tested strategies for modernizing legacy pipelines without grounding your innovation.
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As AI assistants generate code at superhuman speeds, traditional manual security reviews are becoming the ultimate bottleneck. In this session, experts discuss the "Arms Race" of using AI-driven governance and Policy-as-Code to automatically validate every commit before it hits production. Discover how to enforce guardrails that keep pace with your developers' new velocity without acting as a drag on innovation.


In an era of exploding toolchains and AI complexity, the "Golden Path" is no longer a luxury—it is a survival mechanism for your engineering team. Our panelists will share how they use platform engineering principles to abstract away infrastructure headaches. Learn how to build a self-service environment that empowers developers to ship code instantly while shielding them from burnout.


AI assistants have transformed how developers build software, embedding intelligence directly into coding and collaboration workflows. But the operational core: CI/CD, infrastructure, and incident response still relies heavily on human vigilance.
This session explores the shift from assistive AI to structured, agentic systems that are shifting left and right in the lifecycle and are capable of diagnosing failures, proposing remediations, and executing validated actions within defined guardrails. We’ll examine how AI agents can extend across the software lifecycle, reducing operational toil, accelerating response times, and helping teams manage escalating infrastructure complexity.
Learn how to architect an alignment-aware “autopilot” for your pipeline — one that acts as a force multiplier for your team without surrendering control.
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We are adding AI tools to our teams faster than we are updating our teams and downstream tools. The result is unprecedented cognitive overload. Matthew Skelton, co-author of Team Topologies, explains why treating AI as a "magic productivity button" is a recipe for burnout. Learn how to redesign your team boundaries and interactions to treat AI as a collaborator, not a noise generator, ensuring your developers survive the velocity they are creating.