D2 Product Preview: From AI Adoption to Engineering Impact

AI coding tools are rapidly becoming part of everyday engineering work. Adoption is rising, teams are experimenting, and executive expectations are high. But many organizations are only beginning to ask the harder leadership question: how do we turn AI coding activity into measurable impact on how software actually gets built?

Join fellow engineering leaders for a practical, open roundtable hosted by Stephen Poletto, Field CTO at Span, where we’ll compare notes on:

1. The decisions leaders face once AI tools are in active use across teams
2. Early signals to evaluate impact at the org level, even without fully mature metrics
3. Patterns emerging around speed, friction, quality, and developer experience
4. Where AI is creating real leverage today — and where it’s introducing new challenges and risks
5. How senior leaders are grounding AI conversations with executives and boards in evidence, not hype

Stephen will share observations from across engineering organizations, with a focus on what’s working (and what’s not) as teams move from pilots to scaled, sustainable impact. This is a peer discussion for leaders navigating the shift from AI adoption to understanding impact.

Come exchange perspectives with peers, pressure-test assumptions, and leave with clearer ways to think and talk about AI’s role in your engineering strategy.