I built AAYU β a programming language, from the ground up π
Not a wrapper. Not a framework. A real language: lexer β parser β
semantic analysis β IR (HIR/MIR/LIR) β bytecode β runtime.
Two ways to run it:
-
aayu runβ VM, instant start, great for learning -
aayu buildβ compiles through C + gcc -O3 into a real native binary
Measured it myself, no marketing numbers:
fib(30) β native: ~29ms | Python 3.12: ~78ms
That's real, reproducible, ~2-3x faster than Python on number-heavy code.
Built the compiler pipeline, the VM, the native backend, the CLI β
all of it, solo. AI tools helped me write code faster. They didn't
design the architecture or make the decisions β I did. Same as any
dev using an IDE with autocomplete.
v1.0 is out. It's young β bugs exist, I'm not hiding that. But the
core language works, and I'm fixing it in public.
repo: github.com/Minato95-ayu/INTENT-TO-SILICON
site: intent-to-silicon.vercel.app
Try it. Break it. Tell me what's wrong. That's how it gets better.
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