I agree with most of the comments I've read in this thread. Writing code to solve a well defined narrowly scoped problem isn't that hard or valuable. It's determining what the problem actually is and how software could be used to solve it that is challenging and valuable.
I would really like to see more effort in the AI/ML code generation space being put into things like code review, and system observation. It seems significantly more useful to use these tools to augment human software engineers rather than trying to tackle the daunting and improbable task of completely replacing them.
I would really like to see more effort in the AI/ML code generation space being put into things like code review, and system observation. It seems significantly more useful to use these tools to augment human software engineers rather than trying to tackle the daunting and improbable task of completely replacing them.
*Note: as a human software engineer I am biased