SEP 18, 2026
Mind the Gap: overcoming meat-metal divergence when coding with LLMs
In coding with AI, I’ve found that one problem matters more than almost any other: keeping my mental model of a project in sync with what was actually built.
Field notes & project updates
Writing about the journey towards AI-Native Software Engineering in the weird new world of the LLM Coding Era.
Field Notes
SEP 18, 2026 · Latest
The AI Coding Workflow I Built by Watching Myself Code
I remember back in the fall of 2025 the online chatter seemed to be that coding was getting "solved." Claude skill libraries & coding harnesses like (288k...
SEP 17, 2026
Don't fire your designer: UI, UX and LLMs
LLMs design is like those average-of-everything facemorphs from a few years ago. It's the average of all the designs out there - both good and bad.
SEP 16, 2026
Start slow: the counterintuitive approach to better results coding with LLMs
One of the fundamental paradoxes of coding with LLMs is that they go fast when they should go slow and they go slow when they should go fast. Let me explain.
SEP 3, 2026
A Definition of AI-Native Software Engineering
So, after trying out a few different terms to capture the shift in software engineering caused by LLM coding models, I believe AI-Native Software Engineering...
SEP 1, 2026
"Luxurious" Software Development with AI
If you ask any even slightly jaded software developer, they've likely worked on a project where having "nice things" cost too much developer time according to...
AUG 18, 2026
You have more chances to fix your code with AI
It used to be that writing code and tests was where you spent most of your development time budget. Depending on your role, PR reviews of other people's code...
Project Updates
SEP 4, 2026 · Latest
Habitizer Case Study: What does an end-to-end iOS App Build look like?
Habitizer was a small itch-to-scratch project that I built as a case study to see what an end-to-end build for an intentionally simple SwiftUI iOS app would...