For the last eighteen months, most of the code shipped by the team I run has been written by agents. That single fact has slowly reshaped every habit I thought I understood about how software actually gets made, and the gap between what Agile assumed in 1999 and what the work looks like now has become too wide to keep quiet about.
So I am starting a weekly essay series, which will become a short book. It is called Extreme AI Programming, the title a homage to Kent Beck's Extreme Programming Explained. The first piece publishes on Tuesday 5 May at 8am UK, with one article a week after that for roughly fourteen weeks.
The argument, compressed. Agile is a coordination protocol for humans, and a good one. But the shape of the coordination problem has changed. The developer is increasingly not a person. It is an agent, often several at once, each running its own conversation with a different member of the team, each producing work on its own cadence. Standups, story points and sprint velocity do not survive contact with a room like that. A new discipline is emerging to replace them, and this series is an attempt to describe what it actually contains.
Roughly in order: how the roles have recomposed around the agent; what vibe coding costs, and the professional alternative; where decisions should live now they no longer live in humans' heads; what a mature rules layer looks like when every agent needs to read it; how review changes when the agent writes the tests; and where the discipline goes from here. Fourteen essays, about twenty thousand words of prose, written in public.
The pieces will live on memex.ai. They will also land in your inbox if you subscribe below, and cross-post to LinkedIn and Medium for anyone who prefers to read there.
One piece a week for fourteen weeks. The first is already written. If the case for a new discipline is one you have been waiting for someone to make, I would rather you were reading this than not.
— Barrie
The fourteen essays
I am co-founder and CEO of Mindset AI, where we are building Memex AI, a decision and knowledge layer for AI-native engineering teams. This series is the thinking that shapes our product. I will flag it explicitly when an article touches something we build. Most of it is simply where the industry is going, with or without us.