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
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Gen 1 Lights-Off Development: I Am Building It and You Can Watch
Executive Deck ↗Exec summary ↗Listen ↗Everyone talks about autonomous AI development. Norman is actually building it. A system of agents that predicts what players want, builds a browser game, ships it, measures it, and iterates — no human in the product decision loop. Here are the rules.
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How to Build an AI-Native Engineering Team (Not an AI-Assisted One)
Executive Deck ↗Exec summary ↗Listen ↗Most teams added AI tools and called it transformation. An AI-native engineering team requires two things most organizations are not willing to change: the staffing model and the governance model. Here is what both look like.
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We Kissed Specs and PRDs Goodbye. Product Managers Pass POCs Now.
Executive Deck ↗Exec summary ↗Listen ↗Nobody looks forward to backlog grooming. Nobody ever did. AI made it possible to skip the ceremony and hand engineering a working proof of concept instead of a story card. Here is what changes when you let it.
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Stop Reviewing Code. Start Proving It Works. My Take on AI in the Quality Process of Software.
Executive Deck ↗Exec summary ↗Listen ↗Code review was supposed to be about rigor. It became a rubber stamp. AI review will not fix it. What fixes it is building systems that prove correctness. Continuous delivery, not ceremony.
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Dear Coding Agent Builders and Corporate Leaders Funding These Tools: Just Give Me the Best Model
Executive Deck ↗Exec summary ↗Listen ↗An open letter to the companies building AI coding tools and the leaders paying for them. You built something that made software fun again. Now stop making me think about which model I am on.
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Customer Absorption: Your New Software Engineering Bottleneck
Executive Deck ↗Exec summary ↗Listen ↗Your engineering team can now ship a feature a day. But your customers cannot absorb a feature a day. The new bottleneck is not building. It is receiving.
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Your Codebase Is Not Agent-Maintainable and That Is Your Next Big Problem
Executive Deck ↗Exec summary ↗Listen ↗Mike spent three weeks trying to get AI agents to maintain his Flink pipeline. The agents were not the problem. The code was not agent-maintainable. This is a new standard — and your codebase probably fails it.
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Everything You Learned About the Testing Pyramid Was Based on a Constraint That No Longer Exists
Executive Deck ↗Exec summary ↗Listen ↗The Testing Pyramid was never a technical ideal. It was a financial compromise based on the cost of human capital. In an agent-driven world, that constraint disappears and the pyramid becomes a square. Equal investment across every test type. Maximum risk buydown. No excuses.
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Every Consultant Says They Can Fix Your Legacy App with AI — Here Is the Test
Executive Deck ↗Exec summary ↗Listen ↗This is the third time your company has tried to fix the monolith. The first two attempts cost millions and changed nothing. AI agents make the third attempt possible — but only if the person leading it has actually done this before. Here is how to tell in ninety seconds.
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One Hundred POCs a Day
Executive Deck ↗Exec summary ↗Listen ↗Picture this. You wake up to three fully functioning proof of concepts, each with a complete go-to-market plan, built and validated by agents overnight. A hundred started. Three survived. This is not 2030. You could have done this last month.
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.
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