DX Expert: What The Best Engineers Solve After The Code Review Bottleneck

About this episode

How do you prove AI is shipping more features? Amos Haviv leads the Developer Workflow teams at Booking.com, supporting 4000 engineers operating 8000 repos. Everybody is burning through their AI budget right now and almost nobody can answer what it bought them. Amos can, because his team spent four years building an event system to debug their own SDLC before AI upped the urgency. In this video, we cover: • Why verification is the bottleneck right now, and where it moves next • Building an event store that separates KTLO from real feature delivery • Why static dashboards create the metric they measure, and the cobra story behind it • Agent cost, model routing, and why Booking ignores token maxing entirely • Running a developer survey with a 92% response rate across 3k+ engineers • Who should own skills and MCPs: a central platform team or the domain experts? For platform engineers, engineering leaders, and anyone being asked to prove ROI on AI tooling this quarter. Timestamps: 00:00:00 - Everyone is burning through their budget 00:00:32 - Verification Is the Bottleneck Every Team Hit 00:03:35 - 4,000 Engineers and 8,000 Repos at Booking.com 00:06:48 - Why Copying Google and