Should we revisit Extreme Programming in the age of AI?

We are right in the midst of rethinking how we create products using AI and this article hits on big themes that matter.

As we enter the next phase of software acceleration, three things become clear:

1. Output creation is no longer the constraint. We can produce code faster than we can validate or align it with real-world needs.
2. We must invest in outcome-generating capabilities. Stronger feedback loops, clearer product direction, tighter team collaboration, and greater design discipline.
3. The process needs to become more human, not less. Even as AI capabilities expand, sustainable delivery will always depend on human collaboration.

Our view of the Product Operating Model is built on this principle: technology only delivers when teams are optimised for collaboration, clarity, and flow. By aligning product strategy, operating rhythms, and engineering practices around people, not just platforms, you create the conditions for sustainable delivery in the AI era.

I particularly like the "process needs to become more human". The future isn't sending off a user story to an LLM but instead rethinking how we build software and bringing everyone — programmers, designers, product, maybe even customer — and putting AI in the middle of all of it. The artifacts of software will be part of what we have previously considered "the code".