boba VS tailspin-v0

I've done a small implementation, used in type inference, in my language Boba. And you are correct, I used the linear equation solving method.

The vast majority of October's improvements on Boba were type system and runtime bug fixes. In particular, the effect handler/delimited continuation semantics were hopelessly busted beyond a few simple examples I'd fixated on.

September was another productive month for Boba, which is starting to get more 'quality of life' improvements rather than broad new features. That doesn't make the work less important: one of the bug fixes to the type inference engine last month caught a previously unseen bug in the core Boba libraries!

Also worth checking out is Adam Gundry's work on type inference for UoM types. Or, if you want an example implementation of the Abelian unification used in standard type inference extended with UoM types, you can reference my implementation, based on solving linear equations.

August was a surprisingly productive month for the Boba compiler. A few highlights:

The next large feature for Boba (a general-purpose concatenative language) is language integrated property tests.

That's a good question! I wrote up some of my thoughts on the benefits of Go as a backend, but there's also a historical component here. The first backend I was experimenting with was compile-to-C plus a C-based runtime. Go was closer to C than C# for what I needed at the time and I thought had a nicer concurrency story as a backend.

I eventually tend to do all days in Tailspin. The ones I have done so far are in directories ending in "tt" (the others are in Pyret, just to get a feel for it) https://github.com/tobega/aoc2023/tree/main

As a general tip, it is often helpful to first try to think of how you would like to represent the data in your program. Then you need to parse the data into that structure. I'd recommend you to look at a PEG-parser, for example. Or if you like, look at my Tailspin programming language which has a very visual parser syntax and also very visual ways of creating data structures (if that should happen to be your mental affinity). Look at my day1 for example. Or if you're more mathematical, maybe a functional language (I also did day1 in Pyret)

My Tailspin language is based on processing streams of values, you might want to look at it https://github.com/tobega/tailspin-v0

Many people had trouble with the day 7 problem. Paradoxically, good developers probably had more trouble. Here some of the difficulties are explained and implementations are provided in imperative, functional and OO styles, written in the Tailspin programming language.

I test almost entirely from my language, that way the tests are independent of the implementation. Currently the tests are implemented in java because that fits the interpreter implementation https://github.com/tobega/tailspin-v0/tree/master/test/tailspin/samples

Finished off the implementation of typed and offset array indices in Tailspin

I ended up enabling left recursion in Tailspin's composer (parser) syntax. Much cleaner calculator example now.

I think it's possible that Tailspin might be suitable for you.

I think gradual typing is definitely something worth exploring more. I thought it was a shame when Dart abandoned that path. Have you seen Shen ? I guess my small offering, Tailspin, is currently evolving to gradual typing as well.