As much as I dislike writing Go, I think it's pretty close to the ideal LLM language. There's usually one very obvious correct way to accomplish things, there'

As much as I dislike writing Go, I think it's pretty close to the ideal LLM language. There's usually one very obvious correct way to accomplish things, there's a ton of training data, it's GC'ed, the standard library is expansive and of good quality, there's a large ecosystem of 3rd-party packages, etc. About the only place where I don't think Go works for agent-heavy workflows is that it's not very concise. It takes a lot of Go code to express what other languages can do in many fewer lines, and I think this wastes Context Window but also just makes it harder to keep everything in my poor little human brain. LLMs also do a pretty good job writing modern C++. I much prefer writing Common Lisp but I've noticed that LLMs (claude 4.6+ and GPT 5.x) aren't nearly as good at writing Lisp than they are at more mainstream languages, plus Lisp's syntax makes it a little hard to read sometimes, especially if you're not in the habit of reading it every day.