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Again, grand claims with zero substance. What are these supposed "massive problems"? I think your definition of "massive" and mine could be entirely different things.

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Hey, I am not trying to convert you. You might not be the target audience of the post, but I recognized our situation. We have some old, intertwined, outdated, messy distributed complex systems to take care of. Big Balls of Mud. Big Massive Balls of Mud. Big Expensive Balls of Mud. Big Unique Balls of Mud. Big Balls of Critical Mud. So in very general terms, there is the massive problem of entropy we have to reduce. Undocumented APIs actually are an example of such entropy, so beware. AI has helped us with those, just saying. And yes, we've seen generative AI itself being a source of entropy, less so recently.

When the undocumented APIs change, is the AI going to know? Is it going to test hundreds of APIs continuously and then do what? If the API changes aren't something I need to worry about, maybe the AI still will, and so then I have to babysit the AI when it cries about something I don't have to worry about. I have tests for the undocumented APIs. That's really all I need. AI has been more of a miss than a hit for me, it generates far more noise than signal in my experience.

If it works for you, that's great, but I wouldn't trust it with anything important. It would still require a lot of my time to vet the fixes it produces, and from what I've seen (mostly from Copilot) it almost never produces an acceptable result - but then I'm probably outside the typical use case for coding AI.

My company pays for AI but from what I've seen of it, I'd never pay for it for my personal projects.

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