Scaling AI coding from experiment to integrated into engineering teams workflow

Moving from "a few developers trying AI" to "AI as a standard part of how we build" is harder than it looks. It's not just about rolling out tools—it's about building the infrastructure for teams to collaborate, learn from each other, and maintain control as AI becomes core to your development process.

In 45 minutes, we'll show how engineering teams are scaling AI coding assistants like Kilo Code across their organizations—not as isolated experiments, but as a coordinated effort that makes everyone more effective. You'll see how specialized AI modes work in practice, and more importantly, how teams share their best configurations, maintain visibility into AI usage, and keep security and compliance teams happy.

You'll walk away with:

• A clear picture of how AI agents can handle different development tasks (and when to use which approach)—and how to deploy them consistently across your team
• Real examples of teams sharing custom AI modes tailored to their codebase, standards, and organizational context
• The playbook for rolling out AI coding with team collaboration, usage visibility, and security controls built in

About the speaker: Brendan O'Leary is a Developer Relations Engineer at Kilo Code. He spends his time connecting with developers, contributing to open source projects, and sharing his thoughts on cutting-edge technologies on conference panels, meetups, in contributed articles and on blogs. He previously worked at open-source companies such as GitLab.