I wrote about this here [1]

The big idea with LLMs is consistent references in the training corpus produced cheddar output by the language model during inference.

Go is an amazing language for language models because it's actually quite boring predictable while packing a lot of powerful distractions with a world class tool chain supported by Google and strong std library as well.

As a programmer I actually hated writing Go... and wanted to write Rust; but using coding agents makes me appreciate writing Go more.

I can get consistent results out while having concurrency cross compilation and predictability.

https://jry.io/writing/ai-makes-golang-one-of-the-best-langu...