Julia uses $foo for both string interpolation and backquoting in macros. That's *really* nice.
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LLMs are a really accessible machine learning technique. I dabbled with text classifiers a few years ago and the APIs were way more involved.
(system_prompt: String, input: String) -> String
I can prototype with this much more easily!
I've been using "Expected Int, but got String" for my type error messages, but I've been wondering if I could do better.
"Expected Int here, but this value has type String" or "This expression requires Int, but the value is String".
Do you have a favourite?
I'm pretty impressed with Cursor: I've successfully asked it to perform codebase transforms in English, and it's worked!
E.g. "Replace all calls foo(..., true) with foo_immediate(...) define a foo_immediate function".
I'm still reading the diff and checking tests -- it's still AI after all.