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AI coding tools are rapidly improving our ability to produce code. But for engineering teams, producing code is not the bottleneck. Landing it is.

Berlin • November 9 & 10, 2026
AI. Burnout. Big decisions.
The pressure is real. Berlin is where you work through it.
At Vercel, we already feel this tension. A small CSS performance improvement, a layout shift fix, or an apparently harmless selector change can sit in review for weeks because the cost of being wrong is high. Every change has the potential to affect millions of customers, break critical product flows, introduce security risk, or wake someone up on pager duty. The hard part is not writing the diff. The hard part is building enough confidence to ship it.
Matt has worked on agentic workflow adoption across many of the top enterprise teams worldwide. This talk explores the shift from code production to code landing as the next frontier for AI-assisted engineering. Today’s AI coding conversation is mostly focused on generating more code, faster. But in a world where code becomes cheap, the most valuable thing is confidence: confidence that the change builds, passes the right tests, avoids regressions, rolls out safely, and can recover when something goes wrong.
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