1) I still have to comprehend it.

2) The corpus for the sort of applications I build is likely larger for Python than it is for C++ and Rust. Bigger corpus == more training data == better generated code.

3) The bottleneck in the applications I run aren't in the execution of the code; they're in the database/network latency.

4) I don't get anything extra for pushing Rust or C++ over Python.

If all the libraries are rust as the article claims having the top layer in Python probably makes even less difference.

I tend to agree with the article’s statement about the value of the test code though, may even have been true before LLM code took over.