Now this is fairly "easy" as there are multitude of implementations/specs all over the Internet. How about trying to design a new language that is unquestionably better/safer/faster for low-level system programming than C/Rust/Zig? ML is great in aping existing stuff but how about pushing it to invent something valuable instead?

How about we get the LLM's to collaborate and design a perfect programming language for LLM coding, it would be terse (less tokens) easy for pattern searches etc and very fast to build, iterate over.

So did the Linux compiled with this compiler worked? Does it work the same as GCC-compiled Linux (but slower due to generating non optimized code?)

I think it's funny how me and I assume many others tried to do the same thing and they probably saw it being a popular query or had the same idea.

> Over nearly 2,000 Claude Code sessions and $20,000 in API costs

Well there goes my weekend project plans

I tried writing a C compiler in Rust in the spirit of TCC, but I'm just too lazy to finish it.

> The compiler is an interesting artifact on its own [...]

its funny bacause by (most) definitions, it is not an artifact:

> a usually simple object (such as a tool or ornament) showing human workmanship or modification as distinguished from a natural object

Cool article, interesting to read about their challenges. I've tasked Claude with building an Ada83 compiler targeting LLVM IR - which has gotten pretty far.

I am not using teams though and there is quite a bit of knowledge needed to direct it (even with the test suite).

Interesting that they are still going with a testing strategy despite the wasted time. I think in the long run model checking and proofs are more scale-able.

I guess it makes as agents can generate tests, since you are taking this route I'd like to see agents that act as a users, that can only access docs, textbooks, user forums and builds.

This feels like the start of a paradigm shift.

I need to reunderwrite what my vision of the future looks like.