| ▲ | Eji1700 5 hours ago | |
A biased opinion as I dev in F#, but it strikes me that AI is going to play best with functionally pure languages (strongly typed, no side effects, whatever we call that these days)? F# is on the softest side of that, but letting the compiler tell the AI "nope, here's why" seems like a huge win in saving cycles and time. The downside at first was simply, "how many examples of F# are there to learn from", and early on it showed, but I think that's been long overcome. And F# is obviously NOT the best example since it's both "soft" on functional purity and niche. I imagine something like haskell is probably doing even better, although I've yet to check that at all (not that I can code haskell but I haven't looked at anecdotes or anything). I realize this doesn't really help anyone who's grown to love python, and there's surely no perfect language, but just like how the web catapulted javascript, I see a future where the answer isn't "use AI to make python better" so much as "what already works super well with AI, and does it ease the user adoption" | ||
| ▲ | vovavili 3 hours ago | parent [-] | |
The biggest winner from AI indeed appears to be Rust. | ||