Perl is still as good an interpreted language as any of the others tbh.
Most of its “problems” are cosmetic, which is probably why Python ended up being its successor in many fields.
Given the choice between brutalist and Fisher-Price architecture, most people are going to opt for the latter even if everything’s effectively the same inside.
The last I saw, AI models were very good at explaining what code did at a very superficial level, but not why it’s doing that or why it’s written that way.
I assume it’s gotten better at that since then. (?)
e.g. They’d be able to write comments for
x = 0
along the lines of “set variable x to 0” but not why it’s being done or even why it might be a good idea.Deeper question: What can AIs do with obfuscated code? Can they pick that apart and explain it? What if it’s regular code with misleading function names?