Product Strategy
The Decision Log: The Engineering Practice Your Future Self Will Thank You For
Six months into building your product, a new engineer joins and asks why your auth system works the way it does. You kno...
James MitchellBlog
Latest articles on AI-native product development, shipping faster, and building better products.
James Mitchell
AI and Automation
The Async-First Product Team: How to Ship Without Meetings Eating Your Week
Forty-one hours of standing meetings in a forty-hour week. Here’s how async-first product teams break the cycle —...
James Mitchell
AI and Automation
The Spec Interrogation: How AI Is Changing the Way Product Teams Write Requirements
Writing better product specs isn’t about better templates — it’s about better thinking. Here’s how AI...
James Mitchell
AI and Automation
The Signal Problem: Why AI Is Finally Making Feature Prioritization Less Terrible
Every product team has a backlog that is too long. AI has not fixed this — but it is changing the inputs in ways that ma...
James Mitchell
Product Strategy
The Velocity Stack: How High-Output Engineering Teams Ship Fast Without Breaking Trust
Most teams think shipping fast and shipping well are in tension. They are not. Here is the system high-output engineerin...
Sarah Williams
AI and Automation
The Spec Is the Product: Writing Precision PRDs That Actually Get Built Right
Most teams skip specs in the name of moving fast. The teams that actually move fast write them obsessively. Here’s...
James Mitchell
AI and Automation
The Changelog as a Growth Channel: Why Shipping in Public Is Your Best Marketing
Most changelogs are graveyards. The best ones are momentum engines that build trust, drive adoption, and compound over t...
David Liu
AI and Automation
The Discovery Tax: What You’re Paying for Skipping Proper Product Research (And How AI Can Help You Stop)
Every product team that skips proper research pays what I call the Discovery Tax. It compounds. In 2026, with AI acceler...
James Mitchell
Product Strategy
Designing for Degradation: How to Build AI Features That Stay Useful When the Model Fails
Most AI feature failures are silent. No error logs, no alerts — just users who quietly stop coming back. Here’s ho...
David Liu
Product Strategy
The Slow Bug: Why Your Product’s Biggest Problems Don’t Show Up in Your Error Logs
Most engineering teams instrument for failures, not for quality. Slow bugs — the degradation that happens between your m...
Sarah Williams
Engineering
How to Use AI for User Research: A Practical Discovery System for Product Teams
Most product teams know they should do more user research. The real problem is the execution gap — scheduling, synthesis...
James Mitchell
AI and Automation
The Spec Debt Problem: Why Vague Requirements Cost More Than Technical Debt
Technical debt gets all the attention. But the requirements debt that lives upstream—imprecise specs, unstated assumptio...
James Mitchell