The particular example in the article is ambitious - it's definitely not the way I would use it right now. It's currently at the stage where it's as tedious to

The particular example in the article is ambitious - it's definitely not the way I would use it right now. It's currently at the stage where it's as tedious to do that than to do it from scratch, and mostly requires the same knowledge. But there are other areas where things really shine. Complex SQL is the biggest one I've found. It's often intricate, tedious, and annoying, but usually not too terribly hard to review/read/QA (at least for read queries!). GPT turning plain language into SQL and knowing about fancy SQL capabilities that I normally have to fully google the syntax for every time I use anyway is a wonderful way of reducing friction. There's probably no shortage of other tasks like that, though some of the more potentially-destructive ones of them (dealing with Terraform, say) that I find similarly tedious probably deserve a lot more detailed review before trusting the output.