What it doesn't tell us though is how useful the rejected recommendations were.
Meaning, how many rejected solutions were sufficient to give the engineer enough context to turn a 30m task into a 5m task because they generated a recommendation, got an idea, rejected it, and rewrote it more efficiently or more correctly?
There's a lot of "devil in the details" likely buried in here.
Though I guess the success rates when using Stack Overflow aren’t too dissimilar.