AI

In my 2025 year in review I wrote: code typing will become an inefficient way to do engineering, and AI Native should be the default. Saying it was easy. Once I actually had to work this way every day, the questions got concrete: AI writes code fast — but where does information come from? Who decides on the design? How is the output verified? What is a human still in charge of? After running this way for a year, my understanding has gone through several rounds of change; my focus slowly shifted from “writing code fast” to the whole chain of information, development, delivery, and toolchain. ...

Recently I started building the frontend for an infrastructure project myself. AI can put a page together in no time — CRUD, filters, status badges, nothing missing — and at first glance it even looks the part. But once you actually use it, the awkward parts show up: the page is full of information, yet you don’t know what to look at first; related resources, context, and status are scattered everywhere; and figuring out what to do next is on you, pieced together from a pile of fields. ...