R1D8 Hello World from React Native
I made it to the middle of Chapter 4 in Mastering React Native. The sample project is a news reader app. Things are starting to get a bit complicated but I am using my typical “fake it till you make it” approach to learning.
I was completely blown away by the debugger tools that react native offers. You are able to debug an iOS application using Chrome Developer tools which is pretty amazing.
Nothing really to show for today. It will take a few more days to get through this book and have something to show for it. I am looking forward to applying what I learn to some real world project soon.
Thank you for reading! Share your thoughts with me on bluesky, mastodon, or via email.
Check out some more stuff to read down below.
Most popular posts this month
- SQLite DB Migrations with PRAGMA user_version
- Microblog
- How to Disable Wayland in Debian Testing
- Setting up ANTLR4 on Windows
- Scripting GNOME Terminal Tabs in Debian
Recent Favorite Blog Posts
This is a collection of the last 8 posts that I bookmarked.
- The contagion of fear from The Observation Deck
- The revolt of the reader from The Observation Deck
- Deeper dive: Were Touch Bar’s problems software rather than hardware? from Unsung
- Joining Cursor from Fatih Arslan
- Pluralistic: Digital sewer socialism (08 Aug 2026) from Pluralistic: Daily links from Cory Doctorow
- Pluralistic: Enshittification and Reverse Centaurs go global (29 Jul 2026) from Pluralistic: Daily links from Cory Doctorow
- AI Mania Is Eviscerating Global Decision-Making from Ludicity
- The default person from https://popagandhi.com/
Articles from blogs I follow around the net
Time
via Christopher Butler November 3, 2026Internet Archive’s alphabet
I love the Internet Archive, but I don’t love its interface. It’s just… not great all around, homely and confusing. It has some endearing qualities, harking back to the web of the 1990s without endless commerce and incessant growth hacking – Wikipedia feel...
via Unsung November 3, 2026Qwen 3.8 27B on my laptop can interpret model weights, too
Yesterday's hot paper was Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights by Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab. The paper (OK, the authors classify is as a "blog post", but it's paper-shaped)...
via Simon Willison's Weblog: Entries November 3, 2026Generated by openring