And they’re not even learning from their AI agents since they’re not closely reviewing the code.
The chance of code quality increasing seems remote.
And that’s not to mention the new generation—having rarely coded enough to properly review code.
Nor to mention the AI learning from AI coded slop: mad cow disease for AI.
What do we have, no programmers, no one knowing what’s going on inside the test passing slopy black box, except a caretaker guy who’s kept their skills sharp by not using AI—with their time taken up trying to understand constantly rewritten code?
This is also the way I wrote programs when I barely knew how to program btw and I got stuff done then.
Think about doing carpentry by nailing planks together in roughly the pattern you want, rather than meticulously drawing and then cutting outlines - which I have also done. The first iteration (of that carpentry project) fell apart the moment I tried to use it and was a miserable experience because I still had to complete the task with the pieces, and didn't have the opportunity to go back to fix it. The second iteration, which still just took a couple of days to build, was much stronger and was awesome. It can be fun and get results that are obviously acceptable because they are what the AI would have output anyway.
Actually, just for curiosity, I just asked ChatGPT how to make the thing I made, and ironically it's doing a big design up front process where it wants to know all sorts of parameters first before it will tell me anything. So my "AI mode" was more direct than an actual AI! It also wanted me to buy a welding machine even though the thing can be made just fine, better even, out of wood. Maybe that's that new product advertisement feature.
That's where we're headed but I'd say the smart teams will have that 'caretaker guy' use judgment to know when and when not to apply AI. That describes one of my businesses perfectly [1].
When?
Epic is completely different, their app was awful before LLMs and the rewrite made it a lot better. It loads 10x faster, takes half the memory, every action is instant and it finally has a clear UI. If OpenAI wanted a success story to promote Astra this would be a good candidate.
My personal opinion is that all hell breaks loose due to continuity issues, time and money waste (excessive token spend to simulate competency), and a general air of malaise to the point where problems are tolerated far longer than necessary because "the bot will get to it eventually."