Ivan Brezak Brkan

I first met Benoit Schillings, VP of Research at Google DeepMind, in San Francisco to talk about what engineers do when AI writes more of the code. His answer: make sense of the massive systems we inherit. Now, he’s bringing that perspective to Zadar for Infobip Shift 2026.

At a CTO Craft Dinner in Toronto, I sat down with engineering leaders from more than a dozen tech companies and asked where AI has actually landed. The free-for-all is over and we need to be realistic.

At the Pragmatic Summit, I heard firsthand that Uber engineers aren’t just using AI to write code anymore, they’re assigning it work. Let’s see how that plays out.

Roles aren’t disappearing - capabilities are expanding, and often the problem isn’t the system, it’s the prompt. I saw that firsthand at this year’s Pragmatic Summit in San Francisco.

I was at Pragmatic Summit when Chip Huyen reframed the AI conversation - if any product can be generated from a clear description, code isn’t the constraint, and true value lies elsewhere.

I was in the room at this year’s Pragmatic Summit when Laura Tacho dropped the numbers: nearly all developers use AI coding assistants, over a quarter of production code is AI-written - and yet productivity gains haven’t budged past 10%.

One of the biggest hurdles engineers face when applying to Stripe is the interview process.