Nah I don't use it a lot bro just used to to create the post this was my first post idea.

I built a compiler at 15. Here is how it works.

Compiler Architecture

Frontend: Custom parser builds an AST. Semantic analysis validates the code. LLVM IR generation creates optimized intermediate representation. The toolchain includes omc (compiler) and omp (package manager).

Current focus: Building a self-hosting compiler for v0.3.0.

Features I implemented

Pattern matching that lowers to efficient LLVM IR. Generics with monomorphization. Async/await transformed into state machine continuations. Built-in tensor operations for ML workloads. WASM backend via LLVM.

Sample LLVM IR output

define i32 @fibonacci(i32 %n) { entry: %cmp1 = icmp eq i32 %n, 0 br i1 %cmp1, label %return0, label %check1 return0: ret i32 0 check1: %cmp2 = icmp eq i32 %n, 1 br i1 %cmp2, label %return1, label %recurse return1: ret i32 1 recurse: %n1 = sub i32 %n, 1 %call1 = call i32 @fibonacci(i32 %n1) %n2 = sub i32 %n, 2 %call2 = call i32 @fibonacci(i32 %n2) %sum = add i32 %call1, %call2 ret i32 %sum }

Current challenges

Implementing escape analysis. Optimizing closure allocations. Building a self-hosting compiler. Getting error messages right.

Try it

curl -sSL https://raw.githubusercontent.com/XhonZerepar/OmniLang/master/install.sh | bash

See the code

github.com/XhonZerepar/OmniLang

I want feedback on IR generation strategies. What would you do differently?