@simon in the ten minutes saved using AI one can ponder the meaning of #wordclouds, whether they need to exist at all and in what sense they might be an improvement over a nicely ordered table of word frequencies :-)
The whole project took 20 minutes from start to finish - and honestly, I don't value this obscure little feature (on a page of my blog that gets virtually no traffic) enough for it to be worth me spending any more time on than that https://github.com/simonw/simonwillisonblog/issues/391
At a rough guess it would have taken me ~30 minutes to do this without any AI assistance (since it was mainly adapting code I'd written in the past), but honestly in this case I think those 10 minutes made the difference between shipping this and deciding I should work on something else
Classic example of AI-assisted development encouraging me to build things I wouldn't have built without it... I just added tag cloud summaries to my blog's by-year archive pages, e.g. https://simonwillison.net/2007/
I'd already implemented tag clouds as part of my Django SQL Dashboard project, and I had a JSON API that could return the data... so I pasted my old code into ChatGPT along with an example of the JSON and told it to rewrite it to fetch from the new API endpoint: https://chat.openai.com/share/5bbde5a8-0c5b-4bfa-93db-2f83a0bc8846