Ya, now that I have some solid AI coding experience under my belt, there does seem to be some gaps between practice and reality. I have a fairly complex codebase which I pretty much hand code everything. When I add a new feature, I spend a lot of time designing and refactoring that feature into the codebase. Either the feature dovetails into the existing design or the feature creates new designs which will then facilitate even better future features. When AI approaches the feature, it just plows the feature in, and with bugs since it has trouble fully understanding the total design. So over time, you have a spaghetti design where you just have a whole bunch of features tied together with no unified design. I guess thats ok if AI is supporting it, but you now have a large cost and bug surface area and an insane human learning curve. So nothing has really changed here, we have been dealing with low quality codebases way before AI came along. I think AI has mastered the one shot single feature, tool, or simple app, but it struggles with the design complexity of a rich multi feature application or system.