One of the problems that I have with LLMs is knowing when they will be useful and how to apply them to any given problem. A lot of it just feels alien to me because with a background in computer programing I've been trained over 30 years that we frequently will get a deterministic set of results. I like to experiment and break new mental ground, so when I saw that Chat GPT had a code interpreter, I was was interested and yet had no clue what I would do with it.
This is just a small update. I've spent a bit of time adding some features to "time-to-stable". As I try to think about what is stable across the web platform it is useful to think about what APIs are marked as experimental. I added a new page to the site which lets you discover the APIs across a selected list of browsers that are still marked as experimental in BCD (Browser Compat Data).
When comparing browsers it's interesting to look at what is in one browser and not the other
When does an API become available to use on the web?
MDN created Browser Compat Data and it's a goldmine. We should be using it a lot more