Demo Event LDN: Intercom's Claude Code Playbook for AI Native Teams

AI-native development is reshaping how entire product teams build. In this expert-led demo event, you'll get a behind-the-scenes look at how Claude Code is changing the way teams work at scale. Follow along as we explore how Intercom is evolving its team culture, workflows and delivery process around AI, and what that means for everyone involved in building product.
In this immersive, expert-led demo event, you'll see what it actually looks like for a company to go all in on AI native ways of working. Through practical examples and a live walkthrough, explore how Claude Code is being used inside a real product environment to help teams across engineering, product and design move faster while maintaining quality.
Brian Scanlan - Senior Principal Systems Engineer

Brian Scanlan is a Senior Principal Engineer at Intercom, where he leads developer infrastructure and AI-first engineering initiatives that help teams ship software faster and more reliably. With a background spanning infrastructure, scalability, and developer productivity, he focuses on building resilient systems and enabling engineering teams to work effectively at scale.
Event Overview
Learn what it takes to build an AI native team culture and see Claude Code used inside a real production workflow.
01The Org That Went All InExplore how workflows are changing inside AI-native teams. Learn what engineering looked like before AI-assisted development, what changed operationally and culturally, and what it takes for organizations to fully embrace new ways of building.
02Live Demo: Claude Code Inside a Real CodebaseWatch a live walkthrough of Claude Code being used within a real environment. See how tools like skills, hooks, and telemetry work together to support faster iteration while maintaining reliability, visibility, and code quality across teams.
03What “2x” Actually Means for TeamsGo beyond productivity headlines and explore what AI-assisted development looks like in practice. From reducing backlog pressure to enabling agent-first workflows, understand how teams across product, design and engineering can adapt their processes and ways of working for an AI native future.