I’m conflicted. I’m anti-AI due to distrust in capitalism and our pseudo-democratic plutocracies, the profit motive to replace the human workforce, the reckless criminal-incompetence of its implementation, and apparent stupidity of the average hairless primate in understanding that you can never trust a correlation engine… but it’s just a tool, and I’ve also found it incredibly useful in my limited and controlled usage; getting it to write small functions or blocks of code, then amending and composing them myself.

How do we determine what is “heavily written by ai”, and all the obvious slop factory bullshit, without banning strong projects who are just leveraging it for legitimate dev work; as a glorified autocomplete, test autofill, etc but still read and validate every line of code?

Like most people, I’m finding it increasingly difficult to find trustworthy projects amongst the see of amateur slop, but I think banning it out-right would likely result in many false positives, and ultimately be counter-productive.

As much as I don’t want to depend on metrics, I think a better approach would be to define a bunch of heuristics based on historically-competent projects. Things like defining an upper limit based on LoC vs commit time and number of devs, project age, etc. Ultimately I feel the industry should do what cybersecurity should be doing; moving to some sort of cryptograhically-verified social trust model where engineers/professionals have to build trust in the real world, and take turns in “vouching” for projects and code releases.