This is a pet project of mine that has taken on a life of its own in my head. It's still too early for me to tell if this is a good or terrible idea.

The idea is to have AI translate intent directly to LLVM IR and skip programming languages entirely.

I've gone through a few iterations starting with simple numerical operations, then I went a little crazy with it and decided to build a (mostly) self contained web server. The project site (semcom.ai) runs on a web server built this way. LLVM IR, raw Linux syscalls, no libc, static binary, scratch Docker container. IR generated by the semcom system with some interventions from Claude Code.

The system has four parts: intent layer (structured natural language), meaning compiler (intent → IR), semantic bridge (observes running system, produces behavioral model), and alignment engine (compares intent vs. behavior, outputs semantic deltas).

Me, and Claude constructed a white paper (it's on the site) with my thoughts on what this might look like. Check it out if interested!

> The Semantic Compiler — from human intent to machine execution, no code required.

You don't need any compiler for that. Just type dir.

Better strapline needed.