Google did claim “half their new code” was AI-generated; obviously, take that with a pinch of salt, since they’ve a vested interest in promoting LLM.
Speaking as a professional dev, about half of my lines-of-code consists of whitespace, opening-and-closing marks for the javadocs, and such matters as function, method and class definitions and their matching curly-close-brackets. My IDE generates all of that for me, but I dare say that I could use an LLM to do it as well, and then “half my code” would be AI-generated as well.
My colleagues who are most enthusiastic about AI do turn in some right shit for code review; I suppose the best of it is over-complex and has confused error handling. They also tend to have about a hundred lines of what they’ve changed in the pull request description, and little or nothing about why. Github shows me what you’ve changed, I’m only interested in why you’ve done it, so that’s actually providing negative value by wasting my time having to read it.
Google did claim “half their new code” was AI-generated; obviously, take that with a pinch of salt, since they’ve a vested interest in promoting LLM.
Speaking as a professional dev, about half of my lines-of-code consists of whitespace, opening-and-closing marks for the javadocs, and such matters as function, method and class definitions and their matching curly-close-brackets. My IDE generates all of that for me, but I dare say that I could use an LLM to do it as well, and then “half my code” would be AI-generated as well.
My colleagues who are most enthusiastic about AI do turn in some right shit for code review; I suppose the best of it is over-complex and has confused error handling. They also tend to have about a hundred lines of what they’ve changed in the pull request description, and little or nothing about why. Github shows me what you’ve changed, I’m only interested in why you’ve done it, so that’s actually providing negative value by wasting my time having to read it.