The logic above can support exactly the opposite conclusion: LLM can do dynamic typed language better since it does not need to solve type errors and save several context tokens.

Practically, it was reported that LLM-backed coding agents just worked around type errors by using `any` in a gradually typed language like TypeScript. I also personally observed such usage multiple times.

I also tried using LLM agents with stronger languages like Rust. When complex type errors occured, the agents struggled to fix them and eventually just used `todo!()`

The experience above can be caused by insufficient training data. But it illustrates the importance of eval instead of ideological speculation.

In my experience you can get around it by having a linter rule disallowing it and using a local claude file instructing it to fix the linting issues every time it does something.

Or just bad training data. I've seen "any" casually used everywhere.