I think this is an easy thing to wrap my mind around (since I have been in both camps):
AI can generate lots of code very quickly.
AI does not generate code that follows taste and or best practices.
So in cases where the task is small, easily plannable, within the training corpus, or for a project that doesn't have high stakes it can produce something workable quickly.
In larger projects or something that needs maintainability for the future code generation can fall apart or produce subpar results.
AI can generate lots of code very quickly.
AI does not generate code that follows taste and or best practices.
So in cases where the task is small, easily plannable, within the training corpus, or for a project that doesn't have high stakes it can produce something workable quickly.
In larger projects or something that needs maintainability for the future code generation can fall apart or produce subpar results.