An application stack Claude coded directly in LLVM IR
Details
- External ID
- 47354504
- Source
- HN
- Company
- —
- Product
- An application stack Claude coded directly in LLVM IR
- Website domain
- github.com
- Launched
- March 12, 2026
- Cohort
- —
- Upvotes
- 10
- Upvotes percentile
- 0.5781057810578106
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
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.
Enrichment
- Theme
- Claude integrations and coding agents
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Hobby / open-source project
- Normalized one-liner
- application stack written in llvm ir by claude
- Manually corrected
- False
Could you build this?
Partial Generating raw LLVM intermediate representation (IR) to assemble a full web or application stack requires deep compiler engineering knowledge to validate, debug, and link correctly against libc/system calls.
What it would actually take: Constructing an application stack in LLVM IR demands precise manual specification of memory models, calling conventions, SSA form, and direct POSIX system call bindings (or manual linking against libc/musl). Tooling requires Clang/LLVM toolchains (`opt`, `llc`, `llvm-link`) to compile the IR modules into native machine code. Debugging memory errors or undefined behavior in raw IR necessitates advanced knowledge of compiler internals and low-level runtime systems.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one — 156 launches clear the similarity bar, closest 8 shown.
Attention rank: #79 of 157 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 131 days after the earliest competitor.
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- No other launches for this product.
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