Most companies talk about becoming “AI-native.” Very few actually do it.

In this talk, I’ll share how we’re approaching the upskilling of ~300 engineers to move beyond experimentation and into real, repeatable AI-native development.

We’ll cover how we’re introducing new paradigms like AI-Native Engineering (AINE) and Spec-Driven Development, how we’re structuring the individual contributor journey, and how we’re driving adoption across teams with very different levels of maturity.

More importantly, we’ll dive into what doesn’t work: resistance patterns, false starts, over-reliance on tools, and the gap between perceived and actual productivity gains.

This talk will give you a concrete blueprint along with the trade-offs and lessons learned along the way.