For me the most impactful use case is prototyping small apps that I sort of know how to build, but don't know the relevant libraries off the top of my head. My

For me the most impactful use case is prototyping small apps that I sort of know how to build, but don't know the relevant libraries off the top of my head. My most recent example: I got an Onnx file from a guy with a small machine learning model, that for various reasons he needed to run on an android tablet. I had never used the Onnx inference library on android and only had a vague idea of how to pull it in. Without ChatGPT that prototype probably would have taken me 5 or 6 hours to throw together. I'd need to look up the maven repository, research the API, figure out the syntax for creating tensors in Kotlin, write methods for loading android resource files, ect. With ChatGPTs help it took maybe half an hour. Nothing about the code it produced was complicated, the time save came from not having trial and error my way through learning the library.