I've been saying this for maybe nine months vis-à-vis my consulting work keeps proving it.
Go is an excellent language for LLM code generation. There exists a large stable training corpus, one way to write it, one build system, one formatter, static typing, CSP concurrency that doesn't have C++ footguns.
The language hasn't had a breaking version in over a decade. There's minimal framework churn. When I advise teams to adopt agentic coding workflows at my consultancy [0], Go delivers highly consistent results via Claude and Codex regularly and more often than working with clients using TypeScript and/or Python.
When LLMs have to navigate Python and TypeScript there is a massive combinatorial space of frameworks, typing approaches, and utility libraries.
Too much optionality in the training distribution. The output is high entropy and doesn't converge. Python only dominated early AI coding because ML researchers write Python and trained on Python first. It was path dependence, not merit.\
The thing nobody wants to say is that the reason serious programmers historically hated Go is exactly why LLMs are great at it: There's a ceiling on abstraction.
Go has many many failings (e.g. it took over a decade to get generics). But LLMs don't care about expressiveness, they care about predictability. Go 1.26 just shipped a completely rewritten go fix built on the analysis framework that does AST-level refactoring automatically. That's huge for agentic coding because it keeps codebases modern without needing the latest language features in training data or wasting tokens looking up new signatures.
I spent four years building production public key infrastructure in Golang before LLMs [1]. After working coding agents like everyone else and domain-switching for clients - I've become more of a Go advocate because the language finally delivers on its promise. Engineers have a harder time complaining about the verbose and boilerplate syntax when an LLM does it correctly every single time.
[0]: https://sancho.studio
[1]: https://github.com/zoom/zoom-e2e-whitepaper