Field notes
Practitioner essays on building production software with AI agents.
Operator-grade reports on the systems, decisions, and economics of shipping software with AI — what worked, what failed, and what changed.
Articles
-
I Think I Know Where Your High Performers Are
Executive Deck ↗Exec summary ↗Listen ↗Your heaviest AI users are probably your best people. That’s the easy part. The harder question — the one that actually matters — is who still is not really using it. Go find out. It’s going to be an awkward conversation.
-
First Principles for AI-Native Engineering Execution (For CxOs)
Executive Deck ↗Exec summary ↗Listen ↗The first principles behind agent-driven development, distilled from our published body of work into a clear, executive guide for decisions, governance, talent, and operating cadence.
-
The Board Memo Version: Four Sessions, Four Decisions, One Operating Plan
Executive Deck ↗Exec summary ↗Listen ↗A concise board memo for executive teams: the four-session operating model, timeline, decisions, governance, and risk controls to move from AI ambiguity to measurable execution.
-
The Executive Operating Model We Run In Private: Four Sessions That Turn AI Anxiety Into Board-Grade Decisions
Executive Deck ↗Exec summary ↗Listen ↗A detailed, private four-session executive operating model with agendas, timelines, decisions, and risk controls to move from AI confusion to measurable execution.
-
You Added AI. Congratulations — You Now Run a Slop Factory.
Executive Deck ↗Exec summary ↗Listen ↗You gave your engineers AI tools and skipped the governance conversation. Now your PRs are tripling, your review queue is drowning, and nobody can tell the good code from the generated garbage. You did not adopt AI. You built a slop factory.
-
Two Engineers. One Year. More Output Than Ten.
Executive Deck ↗Exec summary ↗Listen ↗Nathan joined a scale-up as CTO with a mandate to hire ten engineers. He hired zero. Twelve months later, he and one existing associate engineer had decomposed the monolith, automated deployments, and outshipped the original plan.
-
The People Conversation
Executive Deck ↗Exec summary ↗Listen ↗Every executive conversation I have starts the same way. Tooling budgets. Adoption dashboards. Training roadmaps. All of it oriented around the technology. None of it oriented around the people. Anywhere from twenty minutes in to the relationship or 20 months, someone asks the real question. How do we know our people can actually do this? […]
-
The Quiet Gift of 2025: Three Models That Changed Everything
Executive Deck ↗Exec summary ↗Listen ↗Three frontier AI models from Anthropic, Google, and OpenAI arrived in December 2025. The gap between engineers using AI to reason through problems and those using it for autocomplete is widening every month.
-
The Use Case Is Building Software and the Best Practice Is Today
Executive Deck ↗Exec summary ↗Listen ↗Stop asking about AI use cases. The use case is your entire SDLC. Learn why executives must build with AI tools themselves to lead the transformation.
-
If Your Engineers Only Get Thirty Minutes to Learn, That Is Not Their Failure. It Is Yours.
Executive Deck ↗Exec summary ↗Listen ↗You called to talk about AI adoption. But you do not know your value streams, your engineers get thirty minutes a week to learn, and you are still defending manual QA that produces no ROI. That is not an adoption problem. That is a leadership problem you built and now own.
Essential or Ornamental
Three companies. Three choices. One satisfactory ending.
One does nothing. One maps the waste. One bets everything on twelve people in a warehouse.
Read free online →