Thin Slices and Tight Loops
Incrementalism is the practice of reducing batch size so you can: learn sooner (faster feedback) reduce risk (smaller blast radius) keep options open (cheaper course-correction) In AI-assisted work, the same idea becomes more important, not less: the tooling can generate more output faster, but that doesn’t make it more trustworthy. Core Idea Build in thin slices and run a tight loop: Decide the smallest slice that will teach you something real. Specify only what you need to move forward (avoid “whole spec first”). Implement the slice, verify it (tests + review), and integrate it. Ship or stage it (flags if needed), observe, and repeat. The goal is not “more output per cycle”; it’s shorter cycle time and higher learning rate. ...