With the new advancements in AI, it's expected that there will be more code being generated by programs rather than written by programmers. Making sure these programs deliver accurate and error free code is a difficult task. The challenge here lies in effectively proofreading AIs so that any bugs are caught before they reach end users. Good tools such as unit tests can help but may not be enough to make sure AI generated code is flawless. As the use of AI increases, we must look to develop better methods for ensuring quality assurance on these programs if they are to truly be useful.
> it's expected that there will be more code being generated by programs rather than written by programmers.
That has probably been case since the 80s; nearly all code running on your CPU is generated by a program ("compiler") from a textual description ("source")
In my career I've seen resources pulled away from QA teams (sometimes completely disbanding). It would be interesting to see things swing the other way.
