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

"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.

Strikes me as the worst possible solution if they're struggling to find maintainers in the first place. Who reviews the vibe coded patches?