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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The Engineers Who Can’t Use AI Agents Don’t Have a Tools Problem
Executive Deck ↗Exec summary ↗Listen ↗Your engineers struggling with AI agents don’t need better tools or training. They need permission to work differently and the organizational barriers removed that punish speed.
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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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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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If You Are Tracking Activities Without Outcomes, You Have Already Lost
Executive Deck ↗Exec summary ↗Listen ↗People trained. Workshops delivered. Pilots launched. These are activities, not outcomes. If your transformation dashboard is full of activity metrics and empty of business results, you are measuring your own comfort, not your progress.
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Your heroes are outdated. Your influencers are underqualified. The people you need are busy.
Executive Deck ↗Exec summary ↗Listen ↗Download EPUB ↓The old software heroes explain the last era. The loudest influencers explain the demo. The builders answering customers in public are the ones closest to the truth.
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If Your Software Organization Quit Working, How Long Until the Stock Price Would Notice?
What if the most productive thing your software organization could do this quarter is not come to work?
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The Customer Product Operating Model
Executive Deck ↗Exec summary ↗Listen ↗Your product team spends 60% of their time on coordination that agents handle in minutes. Building is no longer the bottleneck, your customer's capacity to receive what you ship is. The operating model that wins is embarrassingly simple: talk to customers, figure out what to build, ship it, make sure it lands.
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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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Find the Ceiling
Executive Deck ↗Exec summary ↗Listen ↗You are sitting in the Q3 budget review. The VP of agile transformation just got taken apart over the agile coach line. Cloud migration is six quarters late. The chief product officer is presenting another reorg and another offsite. You are up next, and for the first time in three years of these meetings you have real numbers. The winning numbers. The kind that beat expectations. The teams that doubled their month-over-month spend on Gen AI for building software shipped considerably more measurable value than the teams that did not. You are about to ask the room for more money. You are going to call it finding the ceiling.
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The AI Soft Ban Assessment
Executive Deck ↗Exec summary ↗Listen ↗A browser-only scoring assessment for whether your company has quietly soft-banned AI in the SDLC while still calling itself AI friendly.
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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