Studies
A track is something I'm actively learning, with the log entries where the work actually happened. No progress bars and no certificates wall: if a track stops moving for months, it either comes back to the bench or leaves it.
5 tracks · 6 linked notes
I love the web. With AI as a drafting partner I'm learning what it takes to build professionally and securely for any environment: browser, phone, desktop. Not just fast, but safe to put in front of real users.
Notes from this track
The way I write software is changing faster than any framework cycle I've lived through. The log is my lab notebook: what works, what doesn't, and what stays human.
Tauri makes desktop feel like shipping web, until the webview reminds you it isn't Chrome. I want the platform edges to stop being a tax.
Notes from this track
Colocated fragments and a strict schema changed how I think about data flow. This is the depth I want in my day-job craft, not just in side projects.
Notes from this track
Small language features compound. The satisfy operator was one afternoon; there's a pile of these still to work through, and each one makes the compiler a better teammate.
Notes from this track
How this works
Everything I learn lands in the log; the tracks above are the threads I'm actively pulling on. When one is done, the notes stay and the track leaves the bench.