I’ve been thinking a lot about how we use AI when programming. It can make us faster, but I’m starting to wonder if relying on it too much is actually making us worse developers.
Here are some thoughts based on my own experience using AI while learning and building projects.
Edit: Correction. The AI runs on Meta's servers, not on the chip. The chip only connects to it. My title is wrong.
Nat Friedman (ex GitHub CEO) released free software that lets a cheap ESP32 chip connect to Meta's AI assistant, Muse.
Basically you can now build your own AI device at home.
The chip costs INR 300-500 on Amazon or Robu. Every engineering college already has them. The expensive part of building AI gadgets was never the chip, it was the software.
That just became free….Compare that with Rabbit R1 and Humane Pin. They burned millions trying to sell a finished product. This does the opposite. Gives you the parts, you build what you need.
What would you build? A voice helper for parents who don't type? Something for a kirana shop? A tool for farmers? Feels like the good ideas will come from tier 2 cities, not Silicon Valley.