If the problem is standard to the point where you won't encounter any weird edge cases (e.g., runs analogously as it does in a tutorial on the internet) , then

If the problem is standard to the point where you won't encounter any weird edge cases (e.g., runs analogously as it does in a tutorial on the internet) , then you don't need programming or machine learning to perform the tasks. But once you want to extend a problem into an unfamiliar domain or debug why an algorithm is not working, then I don't see how you can accomplish this without domain-specific and machine learning knowledge. Or have I been missing out on some amazing auto-debugging AI that I am unaware of?