An application stack Claude coded directly in LLVM IR
This repo is the result of a debate about what kind of programming language might be appropriate if humans are no longer the primary authors. Initially the thought was "LLMs can just generate binaries directly" (this was before a more famous person had the same idea). But that on reflection seems like a bad approach because languages exist to capture program semantics that are elided by translation to machine code. The next step was to wonder if an existing "machine readable" program representation can be the target for LLM code generation. It turns out yes. This project is the result of…
In plain words
This project explores AI-generated code by having Claude write an entire application stack directly in LLVM intermediate representation. Rather than generating binaries or high-level languages, the creator chose LLVM IR as a machine-readable target that preserves program semantics. The experiment demonstrates whether LLMs can effectively produce complex software systems in this lower-level representation format, addressing questions about what programming languages are appropriate when AI systems are the primary authors.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
This repo is the result of a debate about what kind of programming language might be appropriate if humans are no longer the primary authors. Initially the thought was "LLMs can just generate binaries directly" (this was before a more famous person had the same idea). But that on reflection seems like a bad approach because languages exist to capture program semantics that are elided by translation to machine code. The next step was to wonder if an existing "machine readable" program representation can be the target for LLM code generation. It turns out yes. This project is the result of asking Claude to create an application stack entirely coded in LLVM's intermediate representation language.
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