How technical decisions connect with user needs, usability and product adoption.
A small team does not need a thick rulebook. This post gives one page with three columns (allowed, ask first, forbidden), four data levels in plain words, who is accountable and what to do in an incident, with a paste-ready template, an example for a six-person team and a checklist.
A successful AI feature is not only about how many people use it. This article proposes measuring three layers, quality, cost and trust, with a one-page board of nine metrics, a cost-per-successful-outcome formula that counts reviewer effort, a way to read acceptance rate without being fooled, and the usual traps.
Lines of code is the easiest number to count and the easiest to misread, especially when AI writes a thousand lines in seconds. This article explains why, tells the minus-2000-lines story, and offers team-level replacement metrics and how to use them without harm.
Vibe coding can give you a working prototype in a day, and also a fast route to security holes and technical debt. This article says when to use it, when to stop, a one-day plan and a checklist before a prototype becomes a product.