> superior in some areas, inferior in others, with the balance changing with technological advancement.
So what are the areas that AI are superior to traditional programming? If your answer is suggestion, then refinement with traditional tooling, then it's just a workflow addon like contextual help, google search, and github code search. And I prefer the others because they are more reliable.
We have six major phases in the software development lifecycle: 1) Planning, 2) Analysis, 3) Design, 4) Implementation, 5) Testing, 6) Maintenance. I failed to see how LLM assistance is objectively better even in part than not having it at all. Everything I've read is mostly anecdote where the root cause is inexperience and lack of knowledge.
So what are the areas that AI are superior to traditional programming? If your answer is suggestion, then refinement with traditional tooling, then it's just a workflow addon like contextual help, google search, and github code search. And I prefer the others because they are more reliable.
We have six major phases in the software development lifecycle: 1) Planning, 2) Analysis, 3) Design, 4) Implementation, 5) Testing, 6) Maintenance. I failed to see how LLM assistance is objectively better even in part than not having it at all. Everything I've read is mostly anecdote where the root cause is inexperience and lack of knowledge.