tower-lsp VS vscode-extension-samples

I am using nom / nom_locate to build the parser side because I've done a handful of other projects with it, and I plan to use tower-lsp to hook up the language server side.

I realize this might not be for everyone, but I'm writing it in Rust using Lib-ruby-parser and tower-lsp: two existing libraries that handle a bunch of the heavy lifting for me. I'm more productive in Rust than with Ruby at this point, despite doing Ruby full time for 15 years, plus I really really don't want to have to deal with a slow LSP--that was the whome impetus for this project. I started in the spring, made a bunch of headway, then backtracked to redo the internals to make it easier to handle monkeypatching, overriding/redefining of methods, etc. across your project.

https://github.com/ebkalderon/tower-lsp is a generalized LSP implementation in a lower-level language (Rust) so you may get a better idea by reading through that repo. It seems that the server opens a TCP socket that the client later connects to, but I'm not really sure.

A LSP is just an api implemented to Microsoft's LSP spec. You can implement that API however you wish but something like tower-lsp can do a lot of the heavy lifting for you.

Mine all use [tower-lsp](https://github.com/ebkalderon/tower-lsp/) for the LSP protocol stuff, and then either [Tree-sitter](https://github.com/tree-sitter/tree-sitter) or [Nom](https://github.com/Geal/nom). If I do another I'll probably try [Chumsky](https://github.com/zesterer/chumsky) which combines some of the advantages of both.

VSCode CodeActions Sample

Not true of most compilers.

Can you design compilers that can do this? Sure, i was at IBM when we did visualage, which could do this in other ways, though not optimally.

Is it common? Not a chance.

Your claim that increasingly more modern languages have semantic highlighting in real time is simply false - most cannot real time semantic highlight even a 100k file on every keystroke. There are a very small number which can, and it's mostly by luck - they fall down on larger files because they have no incrementality. Meanwhile, this is trivial with tree-sitter for all languages because of it's optimality. If you want to see it in action - turn on semantic highlighting for vscode and type fast - most of the time you will lose syntax highlighting because things can't keep up. see, e.g., https://github.com/microsoft/vscode-extension-samples/issues...

Again, yes, you could make a compiler for every language which supports a mode that does what tree-sitter does. and people could carefully implement parsers/lexers in each of their favorite compilers and languages that support optimal incremental parsing in them. and then pay the cost of integrating 50 language specific ways of transforming these to work with the editor, basically reinventing what tree-sitter already did right. (As per above, the current semantic token and highlighting support does not resolve this).

You seem to really otherwise be complaining that you believe it does always generate correct parsers. Like I said, that seems totally orthogonal to anything about the speed issue, and if that's your real concern, have at it.

Official sample extension (Decorator)

Official example: https://github.com/microsoft/vscode-extension-samples/tree/main/product-icon-theme-sample

I have a minimal example repo (pretty much the "helloworld-sample" example from Vscode) where I'm testing different ways to make the child process breakpoints to work. https://github.com/jsalli/vscode-extension-debugging-with-child-process-breakpoints

The official guide is fine, they also have these examples

The example they give uses Node Inter Process Communication (IPC) https://github.com/microsoft/vscode-extension-samples/blob/main/lsp-sample/server/src/server.ts

This was my first thought. I occasionally run into really really good sample code that is quite hard to discover (e.g. https://github.com/microsoft/vscode-extension-samples). Not necessarily because I don't know the sample exists, but because I *don't know the feature is used in that sample*.