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> auto & rsquared = expression.Mul(expression.GetP1(), expression.GetP1());

This is C++, no? Why not use operator overloading for the project?

It's interesting to see C++ expressions being used to create what is I think an AST that then gets compiled. I would love to see some syntactic sugar, though. For example, `expression.Mul(rsquared, expression.Immediate(PI))` could be `rsquared * expression.Immediate(PI)`. With overloading, anything that is not a recognized type could be converted to an immediate, so it could simply be `rsquared * PI`. Simple control structures could be even implemented with lambdas.

I did this for ruby-libjit, and it made writing a JIT compiler much easier to read. Here's an example: https://github.com/cout/ruby-libjit/blob/master/sample/fib.r...

And a real-world example (one of the very earliest JIT compilers for ruby, written in ruby, dates back to the ruby 1.8.x days): https://github.com/cout/ludicrous/blob/master/lib/ludicrous/...

this looks convenient to use from c++, but the example code it generates is rather suboptimal (see https://godbolt.org/z/3rWceeYoW in which no normal compiler would set up and tear down a stack frame for that) so i'm guessing there isn't any support for optimisations? what's the advantage of this over just compiling + calling dlopen/LoadLibrary on the result?

how deterministic is the emit really. if i feed same expression tree twice,same node layout same captures. do i get exact same bytes out every time (ignoring reloc) or not. if output produced is byte stable across runs for same input graph ,that opens up memoized JIT paths.worth checking if current impl already does this or needs a pass to normalise alloc order

(2018)

Bing uses internally a better version, but improvements are not merged back to github. See https://github.com/BitFunnel/NativeJIT/issues/84#issuecommen...

Looks similar to https://github.com/kobalicek/mathpresso

Interesting, this is very similar to llvmlite.Builder which is a wrapper over llvm. I am probably going to create something similar for my Python -> C -> assembly JIT.

It really sounds like a job for Java (Microsoft, I know, I know.)

FWIW for C only I've used libtcc repo.or.cz/w/tinycc.git with great success. The API is a joy, as we all expect from a Bellard project. It focuses on compilation speed, the generated code is not at all optimized.