alt Hacker Newscorrect, it was meant for estimating row height for virtualizing a 100k row table with a latin-ish LTR charset (no emoji handling, etc). its scope is much narrower. still, the difference in perf is significant, which i have found to be true in general of AI-generated geenfield code.
I've worked with text and in my experience all of these things (soft hyphens, emoji correction, non-latin languages, etc) are not exceptions you can easily incorporate later, but rather the rules that end up foundational parts of the codebase.
That is to say, I wouldn't be so quick to call a library that only handles latin characters comparable to one that handles all this breath of things, and I also wouldn't be so quick to blame the performance delta on the assumption of greenfield AI-generated code.