Patrick Debois

AI Product Engineer - AI Native Dev Advisor

Tessl

Patrick is a true pioneer—credited with coining the term DevOps, co-authoring the DevOps Handbook, and launching the very first DevOpsDays back in 2009. Since then, he’s been shaping the tech industry with his unmatched ability to bring development, operations, and now GenAI together in truly transformative ways. He now works at Tessl where he shapes up Product Devrel and the AI Native Dev community. Here’s why you don’t want to miss this: 🔹 Independent consultant at the cutting edge of GenAI and DevOps 🔹 Fractional CTO, advisor, and workshop leader 🔹 Former VP of Engineering, Distinguished Engineer, CTO 🔹 Guided teams at industry giants like Atlassian and Snyk 🔹 Active speaker, community builder, and lifelong learner Patrick is all about raising the bar—helping companies embed engineering rigor into their GenAI journeys, inspiring teams to embrace AI for automation, and advising GenAI platforms on how to truly deliver value. He bridges the gap between management and engineering with a rare mix of deep tech expertise and people-first thinking. 💬 Ready to hear where the future of DevOps, GenAI, and software delivery is headed? This is your chance.

Sessions (1)

Coding Agents Don't Scale Themselves. Neither Do Your Teams.The Rise of Agent Enablement.

1:30 PM·Leadership 2 · Room 3020

Every company wants to know how others are actually scaling AI coding. But it's hard to get past the generic transformation stories. What are the new practices showing up in real engineering orgs? What does maturity actually look like, and what separates teams that are moving from teams that are stuck? What are the patterns for enabling humans and agents, together? Patrick Debois has been collecting the practices and patterns, talking to the early Agent Enablement teams already on the job, team leads, and VPs of Engineering. What's showing up is a new function: a team that enables other teams to get real leverage out of their agents. This talk takes the [Context Development Lifecycle](https://tessl.io/blog/context-development-lifecycle-better-context-for-ai-coding-agents/) off the individual laptop and onto the org chart, grouped across three pillars: - **Enablement.** From individual experimentation to team and org-level fluency with agents. - **Platform.** Agent tooling that runs like a real delivery pipeline: fast, observable, cost-aware. - **Governance.** Ad-hoc guardrails growing into real evaluation, telemetry, and accountable agent work. For Agent Enablement leaders scaling it out across the org. For team leads looking to help their teams get better at this. For VPs ready to unblock the friction and unlock what agents can actually do. *Coding agents don't scale themselves. This is the talk about who does*

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