Thoughts on AI-native Software Engineering, productivity, and building great products.
A decade after stepping back from the Lean Agile Scrum (LAS) community, I wanted to speak up again with a bold thesis: AI eats Agile for Breakfast. The conference was cancelled. Three weeks later I'm giving the opening keynote somewhere else – plus a workshop. Even the cancellation proved the thesis.
Whether the transition to AI-native Software Engineering is successful depends on how developers and management deal with the change and what conclusions they draw for roles, structures, and processes. A small, real-world AI beacon provides the necessary foundation.
The problem is the entry point: paper over product, rigid processes over responsibility. And the misconception of trying to take everyone along.
AI writes code. Engineers build systems. Software engineering gets harder; the engineer’s role shifts.
AI has arrived in software engineering. And yet, surprisingly little is happening in many organizations. Many leaders hesitate, not out of skepticism, but out of responsibility.