jakt VS ZIO

SerenityOS is doing exactly that:

https://github.com/SerenityOS/serenity/tree/master/Ladybird

I also like their Jakt programming language:

https://github.com/SerenityOS/jakt

Though I'm more enthusiastic about Redox (doing it in Rust):

https://gitlab.redox-os.org/redox-os/redox/

It's very opinionated and SerenityOS-focused, but the language Jakt ( https://github.com/SerenityOS/jakt ) transpiles to C++, has memory safety and some very neat ideas for readability.

I love Rust, but its model and specifics would make it difficult to learn how to write code in other languages.

For low-level code, I think Carbon may fill that niche in the future. If it doesn't, C++ may be a good candidate once up-to-date books have been written and compilers actually support the modern spec. Classrooms/guides would need to move away from the still-lingering "C++ is C with classes" approach and use the standard library before that can be a reality, but this book[0] by Bjarne Stroustrup himself demonstrates the future C++ _could_ have if all the modern language features become usable.

In business, C++ will still be the domain of ancient clusterfucks compiled by MSVC++ 6 in many areas, similar to how most Java code is still built around Java 8 because that was the most recent stable version for many projects' lifecycle (and Oracle's decision to only ship JRE 8 to consumers doesn't help) and how .NET 4 is still taught in schools because the new and scary dotnet tool doesn't map 1-to-1 with the old way of working. I can't imagine microcontroller toolkits supporting a modern version of _any_ language in the first place.

However, if more people would learn modern C++ (or a replacement, like Carbon), I think this class of programming languages can have the same growth and hype Rust has enjoyed for the past years.

I'm keeping my eye on Carbon and Zig. Google's influence has managed to push Go to the forefront despite its many quirks, and Zig seems to be focused on doing "C, but right" rather than "C++, but right" which so far is looking pretty promising.

It's also fun to see Jakt[1] being developed in real time; I don't think it's a language that will be useful for production software any time soon, but on the other hand it's a language that actually produces binaries reliably (unlike pre-alpha Carbon or pre-release Zig, the latter exposing many problems after switching to a self-hosted compiler).

[0]: https://www.stroustrup.com/tour3.html

[1]: https://github.com/SerenityOS/jakt

About php, I have no problem of rewriting whole game for performance reasons once it is done and popular in low level language like https://github.com/SerenityOS/jakt but I think for now php is good and sufficient.

Jakt, pretty well designed (lots of ideas stolen from ML/Rust), but very immature

I think this thread might be interesting to the people here. The guy eventually started working on his own safe language, Jakt: https://github.com/SerenityOS/jakt

scala has 2 healthy and pretty complete lib ecosystems : check out typelevel and ZIO. Both are FP oriented, which might not be your cup of tea at first glance but I would encourage you to try em out ! Softest introduction would be to start with the typelevel cats library and build up from there. The excellent Scala with Cats will ease you softly into an FP mindset. It's a bit dated and for scala 2 only but translating to Scala 3 is a very good exercise if you feel so inclined !

Last but not least, Scala is currently the language with one of the best effect systems in my opinion (https://zio.dev/). Kotlin for example has copied the approach with https://arrow-kt.io/ which I think is great actually. But when comparing Scala and Kotlin here, Scala wins by a large margin, it is a completely different world. It's like building a highly concurrent system in Erlang vs C.

Of course, if you don't want to learn things like union types, traits/typeclasses and effects (similar to async/await but more powerful) you will be annoyed by Scala. But once you learned them, you can never go back.

ZIO

Links: - https://dotty.epfl.ch/ - https://scala-native.org/en/stable/ - https://www.scala-js.org/ - https://typelevel.org/ - https://zio.dev/ - https://github.com/scala-native/scala-native/pull/3120 - https://github.com/lampepfl/dotty/pull/16517 - https://dotty.epfl.ch/docs/reference/experimental/index.html - https://scala-cli.virtuslab.org/ - https://scalameta.org/metals/ - https://docs.scala-lang.org/scala3/guides/migration/compatibility-intro.html - https://www.scala-lang.org/blog/2023/04/18/faster-scalajs-development-with-frontend-tooling.html - https://www.scala-lang.org/blog/2022/08/17/long-term-compatibility-plans.html

For the Rx approach, The ZIO framework for Scala has a streaming API that can meet those sorts of requirements. e.g.

This tutorial will introduce how to build from scratch, a REST microservice using the ZIO framework, and examples of ZIO dependency injection, ZIO HTTP, JSON, JDBC, and others from the ZIO environment. The source code is available here

I use ZIO (http://zio.dev) for Scala which makes parallel programming trivial.

Wraps different styles of asynchronicity e.g. callbacks, futures, fibers into one coherent model. And has excellent resource management so you can be sure that when you are forking a task that it will always clean up after itself.

Have yet to see anything that comes close whilst still being practical i.e. you can leverage the very large ecosystem of Java libraries.

The one advantage Rust has over Scala is that it detects data races at compile time, and that's a big time saver if you use low level thread synchronization. However, if you write pure FP code with ZIO or Cats Effect that's basically a non-issue anyway.