I use AI to make gtk shell widgets for my Linux rice. It’s definitely not as good as a experienced ricer but it can give good boilerplates. At the end I have to trouble shoot multiple logic errors but it’s better than writing all that spaghetti at to myself.
Other than that the only use case I find for AI in coding is to crosscheck my code or make it generate tests for me. Even that is very rare.
My justification: I use AI because I don’t want to write 1000-5000(combined) lines of code for a simple dock widget that can do couple of custom actions I use. Also the guarantee that the shell(ignis, ags) I use today can become the old thing very quickly, so I don’t like spending much time.
I use AI to make gtk shell widgets for my Linux rice. It’s definitely not as good as a experienced ricer but it can give good boilerplates. At the end I have to trouble shoot multiple logic errors but it’s better than writing all that spaghetti at to myself.
Other than that the only use case I find for AI in coding is to crosscheck my code or make it generate tests for me. Even that is very rare.
My justification: I use AI because I don’t want to write 1000-5000(combined) lines of code for a simple dock widget that can do couple of custom actions I use. Also the guarantee that the shell(ignis, ags) I use today can become the old thing very quickly, so I don’t like spending much time.