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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You Cannot Read Yourself Into AI-SDLC Literacy
Executive Deck ↗Exec summary ↗Listen ↗Reading about AI won’t make you AI-literate. Only hands-on building will develop the intuition you need to lead. Start tonight.
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Gen AI in the SDLC Is Infrastructure Now—And Every One of Your Engineers Picked Their Own
Executive Deck ↗Exec summary ↗Listen ↗Gen AI in the SDLC is now infrastructure, not innovation. But every engineer picked their own stack. Here’s why that’s a governance problem.
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Goodnight to Epics, Stories and Features: A Feature A Day is the New Normal
Executive Deck ↗Exec summary ↗Listen ↗The sprint is dead. AI-native teams ship features daily, not fortnightly. Learn how to adapt your agile processes for the new velocity.
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Your Best Salesperson Didn’t Pick Salesforce. Your Best Engineer Shouldn’t Pick Their AI.
Executive Deck ↗Exec summary ↗Listen ↗Your best engineer shouldn’t pick their AI tools any more than your best salesperson picked Salesforce. Make AI infrastructure, not individual choice.
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How to Negotiate Your new AI Leadership Comp
Executive Deck ↗Exec summary ↗Listen ↗Negotiating an AI leadership role? Here’s how to structure compensation that reflects your value in transforming engineering organizations.



