Sorry no. AI is impressive but I’ve given it very precise prompts where I describe exactly what I want it to do because I’ve already solved it and the solution it generates is complete and utter horseshit because it requires context that’s too difficult to communicate and a deep understanding of the business and technical aspects of that business. Similarly, novel ideas are not things it knows how to implement.

If you have a counter example I’d love to see it because my experience seems to line up pretty well with other reporting of where the limits of it lies - ie it can regurgitate solutions to solve problems but struggles to provide solutions and correct implementation. In fact, trying to find the problems is itself even harder sometimes because the way it solves things is simultaneously not a good coder and the approach it takes isn’t one a human would and thus it takes extra effort to figure out what path it’s trying to take and where it made a mistake.

As an example. Try to get ChatGPT to implement the server-side implementation of R2’s ListObjects (or heck - in any language / platform you choose, implement that). It’ll make really bad bugs like reading in the entire dataset into memory, not applying the delimiter properly in really subtle ways etc etc. basically, it can’t even do a usable first draft. Just don’t use go because I suspect it’ll cheat and just regurgitate minio