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nimbme – Nim bare-metal environment

ronsor

Since Nim compiles to C, porting it to new platforms is surprisingly easy. I did it a few years ago for 16-bit DOS (OpenWatcom): https://github.com/Ronsor/Nim/tree/i086-and-watcom.

hugs

Happy to see more Nim projects on HN!

I don't know if AI code gen helped with this particular project, so please forgive my small tangent; Claude Code is surprisingly good at writing Nim. I just created a QuickJS + MicroPython wrapper in Nim with it last week, and it worked great!

Don't let "but the Rust/Go/Python/JavaScript/TypeScript community is bigger!" be the default argument. I see the same logic applied to LLM training data: more code means more training data, so you should only use popular languages. That reasoning suggests less mainstream languages are doomed in the AI era.

But the reality is, if a non-mainstream language is well-documented and mature (Nim's been around for nearly 20 years!), go for it. Modern AI code gen can help fill in the gaps.

tl;dr: If you want to use Nim, use Nim! It's fun, and now with AI, easier than before.

ternaryoperator

Is there a reasonably good IDE for Nim that provides debugging, specifically the full debugging experience (Nim code rather than C, breakpoints, inspect/modify values, etc.)? That's been the gating factor for me trying it. What's the present situation?

hugs

I'm using Claude Code... And then for manual review and editing, using Zed with Nim extensions: https://zed.dev/docs/languages/nim

Sorry, I don't really do debuggers... I mostly step through code interactively using a REPL (INim).

aryonoco

My experience has been the same. I have found it much easier to write good Nim and F# code with Claide Code, than say modern Python with type hints everywhere.

Both Nim and F# have strong types and strict compilers (arguably more strict in case of F#). These factors matter a lot more than how much code there is for the LLM to train on. And there probably is less ostensibly bad Nim and F# code out there than old Python code written by people who were not really developers, so the training data set is higher quality.

yapyap

oh nim nim nim nim nim, fucking nim

shoutout if you got that [reference](https://youtube.com/watch?v=Z7PH36ZAao4)