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I have not used AI generated code in professional settings (due to the institutional reasons) but I have thought about this and had postulated that there is high risk that the code will become more bloated and will lose architectural cohesion. It is interesting to have this hunch backed by some data.

Now this is not necessarily a bad thing. I have seen a lot of man made code that is trying to follow the DRY principles and the result is horribly tangled mess where you have no idea what gets when executed by just looking at the code.

There is also hope that AI summarizing ability could help to gain a better systematic understanding of the code. Perhaps it's generalization capabilities could even help to refactor the code and build up a good test suit.

But this is to be seen to happen and so far a better awareness is an advantage.




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