Note: please do not publish until customers are finalized

What does it actually take to build a developer experience program that earns trust from engineers, drives measurable AI and productivity gains, and gives leadership the data they need to make confident investment decisions? In this fireside chat, two of Europe's most respected engineering organizations share how they stood up their DevEx programs, made the case for AI tooling, and learned to measure whether it was actually working.

Booking.com and Adyen will walk through the full arc of their journeys: the early challenges of measuring developer productivity, how they rolled out AI code assistants to skeptical engineering teams, and what change management looked like in practice. They’ll dive into how DX’s data ultimately shifted the conversation from gut feel to evidence. 

The conversation will explore how Booking.com found that daily active users of their AI tool had 16% higher change throughput than non-users, and later drove a 65% increase in AI adoption through targeted enablement. The panelists will also explain how Adyen is now using the same data-driven approach to guide their own AI rollout.

This session will be moderated by Lizzy Rosen, VP of Customer Experience at DX, and features speakers from Booking.com and Adyen (TBD). Attendees will leave with concrete recommendations for building or maturing their own DevEx and AI measurement programs, grounded in real outcomes from two organizations that have done it at scale.

Key takeaways:

• How to measure the actual productivity impact of AI tools, and use that data to drive smarter vendor and investment decisions
• What change management looks like when rolling out AI tooling across large, distributed engineering teams
• How to move from surface-level surveys to quantitative and qualitative data that drives real decisions at every level of the organization