GDSL is written in C++ with use of STL, templates and lambdas, so it's 2600 lines of such C++ source code. There is no self-hosting: neither the LISP compiler nor the C compiler can compile itself. No operating system is implemented, the word kernel in the title means something else.
FYI Here is a 700-line subset-of-C compiler which can compile itself: https://github.com/valdanylchuk/xcc700 . FYI The linker and the libc are not included.
Kernel as used in the title means shared processing core, not necessarily an OS kernel, which probably deserves clarification. As for Lisp and C, those are meant to be subset demonstrations not yet full compilers, thus the phrasing. The compiler you linked is also a subset of C with only what's needed for a minimal compiler.
I’ve been working towards making it self hosting eventually, which is why there’s the start of code for generics in GDSL-C, though that’s a significant project which will take significant time. Add to that, a lot of people would prefer to write handlers in C++ rather than learn a new language. So it may stay as a C++ project for a while.
That being said, I was also hesitant to post this until I had it self hosting, but I decided that being able to implement even the demonstrated subsets was interesting enough to be worth sharing. This is a project in progress, and I hope to expand it massively in the months to come.
I would love to compare notes, reading through Mu has given me a lot to think about that I may be writing about soon.
I see in Mu a mirror of my own aspirations, GDSL is something I intend to take down to the metal once I have access to a computer where I can reach deeper than my Mac allows. Though the path from here to an OS is by no means a straight one.
Mu is what I would call a MIX layer, the real substance of a process which turns one line of code into the next. Arguably, a MIX is the core of what makes a program a program, and the work of Mu, like Lisp and others, is to elevate it high enough that it becomes the whole interface.
For a deeply curious mind the MIX is the only thread they wish to pull. Because the comprehension of things at their most fundamental level is fuel enough. Unfortunately, the majority of people are not nearly so curious, thus the dominance of languages like Python.
So what makes Python so much more appealing than direct control? Pure TAST. Sugar for the hungry, and grammar that lets you say everything while knowing nothing. Somewhere, between the sugar and the substance lives the real heart of what makes a tool, and that’s what I’ve been picking at from both angles.
I would be curious to see how these could be unified, a Python TAST, Rust or Haskell DRE (for type systems and borrow checking) and a Mu MIX underneath. Let the user be lured in by the promise of ease, look under the hood to see the entire compiler fitting in just under ten thousand lines, and burrow their way down to the MIX and fundamental understanding.
GDSL is written in C++ with use of STL, templates and lambdas, so it's 2600 lines of such C++ source code. There is no self-hosting: neither the LISP compiler nor the C compiler can compile itself. No operating system is implemented, the word kernel in the title means something else.
FYI Here is a 700-line subset-of-C compiler which can compile itself: https://github.com/valdanylchuk/xcc700 . FYI The linker and the libc are not included.
Kernel as used in the title means shared processing core, not necessarily an OS kernel, which probably deserves clarification. As for Lisp and C, those are meant to be subset demonstrations not yet full compilers, thus the phrasing. The compiler you linked is also a subset of C with only what's needed for a minimal compiler.
I’ve been working towards making it self hosting eventually, which is why there’s the start of code for generics in GDSL-C, though that’s a significant project which will take significant time. Add to that, a lot of people would prefer to write handlers in C++ rather than learn a new language. So it may stay as a C++ project for a while.
That being said, I was also hesitant to post this until I had it self hosting, but I decided that being able to implement even the demonstrated subsets was interesting enough to be worth sharing. This is a project in progress, and I hope to expand it massively in the months to come.
Looks interesting. The next step may be to show some little fun examples built with it.
Here's my similar project from a few years ago, in case you want to compare notes:
https://github.com/akkartik/mu
https://akkartik.name/akkartik-convivial-20200607.pdf
I would love to compare notes, reading through Mu has given me a lot to think about that I may be writing about soon.
I see in Mu a mirror of my own aspirations, GDSL is something I intend to take down to the metal once I have access to a computer where I can reach deeper than my Mac allows. Though the path from here to an OS is by no means a straight one.
Mu is what I would call a MIX layer, the real substance of a process which turns one line of code into the next. Arguably, a MIX is the core of what makes a program a program, and the work of Mu, like Lisp and others, is to elevate it high enough that it becomes the whole interface.
For a deeply curious mind the MIX is the only thread they wish to pull. Because the comprehension of things at their most fundamental level is fuel enough. Unfortunately, the majority of people are not nearly so curious, thus the dominance of languages like Python.
So what makes Python so much more appealing than direct control? Pure TAST. Sugar for the hungry, and grammar that lets you say everything while knowing nothing. Somewhere, between the sugar and the substance lives the real heart of what makes a tool, and that’s what I’ve been picking at from both angles.
I would be curious to see how these could be unified, a Python TAST, Rust or Haskell DRE (for type systems and borrow checking) and a Mu MIX underneath. Let the user be lured in by the promise of ease, look under the hood to see the entire compiler fitting in just under ten thousand lines, and burrow their way down to the MIX and fundamental understanding.
GitHub link: https://github.com/FirTheMouse/GDSL
I thought you needed 100k lines of code for a C compiler. https://www.anthropic.com/engineering/building-c-compiler
Because so did the "smartest" AI apparently?