alt Hacker Newsgood to see incredible stuff being shipped in Swift. Haven't used it since v3 though.
around 2015-17 - Swift could have easily dethroned Python.
it was simple enough - very fast - could plug into the C/C++ ecosystem. Hence all the numeric stuff people were doing in Python powered by C++ libraries could've been done with Swift.
the server ecosystem was starting to come to life, even supported by IBM.
I think the letdown was on the Apple side - they didn't bring in the community fast enough whether on marketing, or messaging - unfortunately Swift has remained largely an Apple ecosystem thing - with complexity now chasing C++.
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> Swift could have easily dethroned Python
No way something that compiles as slowly as Swift dethrones Python.
Edit: Plus Swift goes directly against the Zen of Python
> Explicit is better than implicit.
> Namespaces are one honking great idea -- let's do more of those!
coupled with shitty LSP support (even to this day) makes code even harder to understand than when you `import *` in Python.
Edit 2: To expand a little on how shitty the LSP support is for those who don't work with Swift: any trivial iOS or macOS project that builds fine in Xcode can have a bunch of SourceKit-LSP (the official Swift LSP) errors because it fails to resolve frameworks/libraries. The only sane way to work with Swift in VS Code or derivatives I've found is to turn off SourceKit diagnostics altogether and only keep swiftc diagnostics. And I have the swift-lsp plugin in Claude Code, there's a routine baseline of SourceKit errors ignored. So you have symbols without explicit namespaces, and the LSP simply can't resolve lots of them, so no lookup for you. Good luck.
Maybe Chris Lattner leaving and creating Mojo also didn’t help in that regard.
Swift for TensorFlow was a cool idea in that time …
That's my read too.
Swift was feeling pretty exciting around ~v3. It was small and easy to learn, felt modern, and had solid interop with ObjC/C++.
...but then absolutely exploded in complexity. New features and syntax thrown in make it feel like C++. 10 ways of doing the same thing. I wish they'd kept the language simple and lean, and wrapped additional complexity as optional packages. It just feels like such a small amount of what the Swift language does actually needs to be part of the language.
True. Google was even thinking of switching TensorFlow from Python to Swift.
https://github.com/tensorflow/swift