For now, I mostly use AI as a "faster typist". If it wants to complete what I wanted to type anyway, or something extremely similar, I just press tab, otherwis

For now, I mostly use AI as a "faster typist". If it wants to complete what I wanted to type anyway, or something extremely similar, I just press tab, otherwise I type my own code. I'd say about 70% of individual lines are obvious enough if you have the surrounding context that this works pretty well in practice. This number is somewhat lower in normal code and higher in unit tests. Another use case is writing one-off scripts that aren't connected to any codebase in particular. If you're doing a lot of work with data, this comes in very handy. Something like "here's the header of a CSV file", pass each row through model x, only pass these three fields, the model will give you annotations, put these back in the csv and save, show progress, save every n rows in case of crashes, when the output file exists, skip already processed rows." I'm not (yet) convinced by AI writing entire features, I tried that a few times and it was very inconsistent with the surrounding codebase. Managing which parts of the codebase to put in its context is definitely an art though. It's worth keeping in mind that this is the worst AI we'll ever have, so this will probably get better soon.