Caveat: There's a difference between code that writes code to dynamically expand/fulfill an abstraction, and code that is merely generated to satisfy what would otherwise be a copy-and-paste need. I know I missed this when I first was exposed to the concept of code generation.
I was ecstatic that I could write a large chunk of my code automatically. What I eventually realized was that I had missed abstractions that would have allowed me to achieve the same ends with generics and dynamic programming. Also a change of language (C++ at the time) would have drastically changed my perspective.
I did a similar thing when writing Java code for university assignments. Usually, generating test data required either writing a handler to pull it in from a file, or just writing a lot of Java code to manually load it into memory.
I wrote Python scripts which spat out the method calls with the appropriate arguments.
Yes, I could probably have written an abstraction to create the data set in Java, but it worked out faster to write it in Python, and one doesn't get marks for generating test data.
I was ecstatic that I could write a large chunk of my code automatically. What I eventually realized was that I had missed abstractions that would have allowed me to achieve the same ends with generics and dynamic programming. Also a change of language (C++ at the time) would have drastically changed my perspective.
YMMV.