{ "version": "https://jsonfeed.org/version/1", "title": "dialysePal on Alexander Kucera", "icon": "https://avatars.micro.blog/avatars/2025/00/378.jpg", "home_page_url": "https://alexanderkucera.com/", "feed_url": "https://alexanderkucera.com/feed.json", "items": [ { "id": "http://AlexKucera.micro.blog/2026/08/16/i-built-a-pd-tracker.html", "title": "I built a PD tracker because AirTable was too slow", "content_html": "

My first iOS app is live on the App Store: dialysisPal.

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It’s a peritoneal dialysis tracker. Open it, enter UF, weight, blood pressure, pulse, done. Twice a day, seconds each time. Charts show the long-term trends, and one tap exports a PDF for your nephrologist. I built it because Airtable was too slow.

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I started it in June last year with Claude Code. I’d never written a line of Swift; Python was all I knew. I had a mostly working version within a month. After that, things slowed down: three hospital stays, and a lot to learn about coding with LLMs. The app moved through several coding harnesses and models until it landed on GLM (4.7 through 5.2) and Pi Coding Agent.

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Along the way: two abandoned redesigns, one failed complete rewrite, one successful refactor and lots of little distractions. LLM coding eats you alive if you are not careful.

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So it hasn’t just been my first iOS app. It’s been my teacher for the last 13 months or so.

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I’ve been using it myself for about a year and finally decided it was good enough for public consumption. It’s still not perfect, but perfect is the enemy of good.

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So here it is:

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App Store link ยท dialysepal.de

\n", "date_published": "2026-08-16T08:51:54+02:00", "url": "https://alexanderkucera.com/2026/08/16/i-built-a-pd-tracker.html", "tags": ["Kidneys","Coding","AI","dialysePal"] } ] }