For example, one thing that is a friction point at my own job is knowledge of tooling for performance tuning and optimization. It's not that Haskell doesn't have this tooling, it's just not well-known.
I think the greatest problem is documentation. I work on compilers daily. Sometimes I am forced to read directly in to Ghc’s code to just use as a developer.
Maybe we should use Ai to generate up-to-date docs that are well organized like a book, so that all devs are more easy to conquer the different tools and flows.
For example, in C++, for basic toolchains LSP, formatters, standards of formatting, guidelines for performance, do and don’ts, … are more accessible.
I know it’s partially because of the size of the community. If we find a way to make the beginners, or experienced dev from other languages easier to start writing production code. We can thrive more.
What do you find about bringing it into production? Is it the actual language patterns or the tools? I've done Haskell in production for over a decade now so I am not sure what challenges newcomers face.
The steepness of Haskell learning curve is exaggerated.
I have experience where completely unmotivated (due to then ongoing very bad divorce) former Java programmer took a description of CPU for model code generation in Haskell's eDSL and successfully extended it in a month. The model had tricky (at the time) type level programming and type classes with associated types.
We're always happy to hear about pain points!
For example, one thing that is a friction point at my own job is knowledge of tooling for performance tuning and optimization. It's not that Haskell doesn't have this tooling, it's just not well-known.
Is there anything in particular you would need?
I think the greatest problem is documentation. I work on compilers daily. Sometimes I am forced to read directly in to Ghc’s code to just use as a developer.
Maybe we should use Ai to generate up-to-date docs that are well organized like a book, so that all devs are more easy to conquer the different tools and flows.
For example, in C++, for basic toolchains LSP, formatters, standards of formatting, guidelines for performance, do and don’ts, … are more accessible.
I know it’s partially because of the size of the community. If we find a way to make the beginners, or experienced dev from other languages easier to start writing production code. We can thrive more.
What do you find about bringing it into production? Is it the actual language patterns or the tools? I've done Haskell in production for over a decade now so I am not sure what challenges newcomers face.
I like it too. It's underrated because the learning curve is very high
The steepness of Haskell learning curve is exaggerated.
I have experience where completely unmotivated (due to then ongoing very bad divorce) former Java programmer took a description of CPU for model code generation in Haskell's eDSL and successfully extended it in a month. The model had tricky (at the time) type level programming and type classes with associated types.