Ask HN: Is Python's dynamic typing a liability when generating code with AI?
I've been using Claude/Cursor heavily and noticed something: with TypeScript, the compiler catches interface mismatches immediately. With Python, I'm running code to find out it breaks.
This matters more with AI-generated code since I'm less familiar with what it wrote. Static typing gives me a safety net - I can see if the pieces fit before running anything.
Python dominates AI tooling, but is that despite the typing, not because of it? Or am I overvaluing compile-time checks?
(Yes, I know about type hints. Curious if anyone actually enforces them in AI-assisted workflows.) Python is strongly typed. I even noticed that my ai coded python has less typing problems than my print(str(should_be_string)) Python is strongly typed. You're right - poor wording. Static vs dynamic is what I meant.