Most software is not good, using these rules. And that is written by human developers. The problem is that most software developers have less than 5 years experience. The community doubles every 5 years. Experience is scarce. So AI, learning from all the stuff online, does not learn great code, it learns from available code. You can make it produce better code, if you do the hard work of defining better in terms the AI understands. I've been trying to find a way forward with AI generated code, using my own definition of 'good architecture', and results with chatgpt 6 are promising. Not perfect, but good enough. I used a book I was writing as input, you can read an unfinished version of it here: https://programming-for-wizards.dev.muze.nl/ (Still working out the kinks of the underlying software) The other approach is to explicitly keep the whole decision tree as a causal chain in a repository: https://github.com/muze-labs/spiral-developer Still testing that one out.