Closing the Agentic DevOps Loop
Agentic DevOps means AI agents are now active members of your engineering team — writing code, catching security issues, and resolving production incidents without waiting for a human to start the work. But getting agents to work reliably across a large engineering org is harder than it looks. In this session, Microsoft, GitHub, and Moderne show how Moderne acts as the deterministic harness for agents like GitHub Copilot — giving them the precision tooling they need to make changes you can trust across thousands of repos.
We'll walk through real examples showing what this looks like in practice — and what it means for how your engineering org operates.
About Alex Kureen
Alex Kureen (Snr. Director, Microsoft) leads Sales Enablement and Go-To-Market strategy for Microsoft’s 2,000 Azure Specialists and Solution Engineers in the Americas. His goal is to ensure Microsoft is providing the best possible guidance and partnership to help customers succeed and navigate their journey in the era of AI.
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About David Sanchez
Director of Developer Audience at Microsoft with over 15 years of experience in the technology industry focused on software engineering, DevOps focused on GitHub and Microsoft Azure. David has worked across consulting, engineering, marketing, sales, support, and enablement roles, with a focus on developer productivity, cloud computing, and open-source adoption.
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About Patrick Vuong
Director of Product Management and founding PM at Moderne, where I lead the shift from probabilistic AI to deterministic agentic workflows. Having spent my career evolving how developers collaborate with AI, I now build the specialized tooling agents need to operate accurately, efficiently, and at production scale. By grounding agents in deterministic systems, I’m helping bridge the gap between “experimental” AI and enterprise-grade execution.
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