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I've used my own hobby language Cant before, for a couple reasons: it's meant to be enjoyable to code in (at least for me), and tackling random problems like this is a good way to drive some improvements to it.
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carbon-lang
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
I've been digging into hardware, embedded dev, microcontrollers etc. recently and want to keep going, so definitely a systems language. I learnt Rust via last years AoC but it felt too complex for speed & comfort the way Python does. Also most existing code or libraries in the space are written in C and I've heard Zig is much better at FFI. Or maybe even Carbon?
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Perl was the first language I learned well, and I did 2021 in Raku. I really wanted to like it. The grammars were pretty neat. Unicode operators make the code look nice. Complex numbers are a nice built-in for doing 2D grid problems. Set and multiset features were seductive. Fluent list methods are swell. I even implemented day 10 with Unicode string properties.
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Then there was the programmer inspired by NaNoWriMo to create nalintmo, implementing Lisp in a different language each day of November.
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TestGPT | Generating meaningful tests for busy devs. Get non-trivial tests (and trivial, too!) suggested right inside your IDE, so you can code smart, create more value, and stay confident when you push.
