A language like Golang tries really hard to only have _one_ way to do something, one right way, one way. Just one way. See how it was before generics. You just have a for loop. Can't really mess up a for loop.

I predict that the variance in success in using LLM for coding (even agentic coding with multi-step rather than a simple line autosuggest or block autosuggest that many are familar with via CoPilot) has much more to do with:

1) is the language a super simple, hard to foot-gun yourself language, with one way to do things that is consistent

AND

2) do juniors and students tend to use the lang, and how much of the online content vis a vis StackOverflow as an example, is written by students or juniors or bootcamp folks writing incorrect code and posting it online.

What % of the online Golang is GH repo like Docker or K8s vs a student posting their buggy Gomoku implementation in StackOverflow?

The future of programming language design has AI-comprehensibility/AI-hallucination-avoidance as one of the key pillars. #1 above is a key aspect.