I often felt that current ML speeds up newbie devs by effectively teaching them the language and libraries — but slows down experts that already know the stack well from memory. I started coding in a new language and system, and ML can be a bit faster to teach me things and provide simple snippets than stack overflow
But over time I’ve learned that there are very specific things that ML can do really well, and I can save time when I apply those techniques. For example, it’s excellent at converting from one language or style to another, ex migrating configs from json to yaml. It’s also pretty good at writing configs or generating template code based on them. It’s good at picking an emoji from a list. It can write small functions or provide a template html layout. So I humbled myself and started integrating it into my workflow where it actually works
Huh wow this has been going for a decade, uses Rust, and is run by the Linux Foundation now? That’s all very hype - seems like they need another couple years, but there is hope! I’m impressed