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  1. Graphs are the shape the model already thinks in, which makes them a shortcut to an AI that knows your domain.

  2. Wow, We're Not Going to Need You Soon AI will write code.

  3. Or: How I became the person I used to silently judge in architecture reviews Engineers are like hoarders, but for patterns.

  4. The Rosetta Stone Between "That Looks Nice" and "That Actually Works" Picture this: You've just finished the design for your next app in Figma.

  5. So researchers just discovered that you can get an AI to help you build a nuclear weapon.

  6. Designing with Google Stitch From Metaprompting to JSON Precision Picture this: You've got a product idea.

  7. The Siren Song of DRY Look, I need to confess something: I fell for it.

  8. Picture this: I'm sitting in my home office in Utah, staring at a React Native app with a list of forms that's about to become a performance nightmare, and I'm doing what every engineer does when they hit a wall—I'm making it worse by overthinking it.

  9. If there's one thing I've learned from my exhausting love affair with Convex (yes, I'm a fanboy—and here's why), it's that good architecture doesn't come from inspiration.

  10. I've spent the last few projects using Convex, which is a funny thing to say because it sounds like I chose this path, like I sat down with a spreadsheet and did a careful analysis.

  11. The Call is Coming from Inside the Codebase Darkness falls across the land—well, more like a crisp October evening in Salt Lake City.

  12. Picture this: It's late-October.

  13. TL;DR: Multi-agent AI coding has the same coordination problems as human teams.

  14. How AI coding is breaking down the gates of code creativity.

  15. How my "unfocused" career accidentally proved David Epstein's thesis—and why the best AI engineers aren't the ones who can code the fastest.

  16. I was lying in my studio apartment, staring at the ceiling, trying to figure out why I wasn't happy.