It depends on the use case. Go seems like a dream... until you have to work with dataframes or do any kind of ML work. Then it's a nightmare.

Go's ecosystem is especially weak in ML, stats, and any kind of scientific computation. I mean, do you really want Claude to implement standard battle-tested ML algorithms in Go from scratch? You'd be burning tokens and still get a worse result than if you'd just used Python.

I use Go to write CLI tools, but for ML work I'd rather have Claude generate Python.

The suitability of language hinges not only on its language design, but its ecosystem as well.