isn't this likely to be the case when a field is developing quickly and there are a large number of people who have different opinions on the subject?

e.g. I liked GitHub Copilot but didn't find it to be a game changer. I tried Cursor this year and started to see how AI can be today.

Indeed. The LLMs have been pretty useful for greenfield projects & one off scripts for a while, but GPT-5 was the first time I've found a model to be quite helpful on large-scale legacy code (>1M LOC).