Anthropic released vibe coded C compiler that doesn't work, how their LLM can help in maintaining PyPy?

Strange subthread. I don't see Claude Opus 4.6 changing the tide for PyPy. There is no need to understate AI capabilities to claim it won't.

"Anthropic released vibe coded C compiler that doesn't work" sounds like https://github.com/anthropics/claudes-c-compiler/issues/1 passed through a game of telephone. The compiler has some wrong defaults that prevent it from straightforwardly building a "Hello, world!" like GCC and Clang. The compiler works:

> The 100,000-line compiler can build a bootable Linux 6.9 on x86, ARM, and RISC-V. It can also compile QEMU, FFmpeg, SQlite, postgres, redis, and has a 99% pass rate on most compiler test suites including the GCC torture test suite. It also passes the developer's ultimate litmus test: it can compile and run Doom.

https://www.anthropic.com/engineering/building-c-compiler

> Anthropic released vibe coded C compiler that doesn't work, how their LLM can help in maintaining PyPy?

This is the perfect question to highlight the major players. In my opinion, a rapidly developing language with a clear reference implementation, readily accessible specifications, and a vast number of easily runnable tests would make an ideal benchmark.