I don't think you get it. The game has already changed. And nobody trained the AI to write unit tests or refactor code. It could do it as emergent behavior.

It happened so fast that so many people are in denial and many people aren't even asking the obvious questions. Simply ASK chatGPT to refactor your code to be more unit testable and IT Can do it.

Of course it clearly has your typical LLM problems but it is roughly 50% there. The game has changed. If AI gets to 100%, not only will the game be changed, but humans will no longer be part of the game.

See what I asked chatGPT:

   ME:
   def (x: int):
      for i in range(x):
         print(i)

   Can you refactor the code so it can be more unit testable?


   CHATGPT:
   Certainly! To make the code more unit testable, we can refactor it into a function that returns a list of integers instead of directly printing them. Here's the refactored code:

   python

   def generate_number_list(x: int) -> List[int]:
       number_list = []
       for i in range(x):
           number_list.append(i)
       return number_list

   In this refactored code, we've created a function called generate_number_list that takes an integer x as input. Instead of printing each number, we use a number_list variable to store the generated numbers by appending them in the loop. Finally, we return the number_list.

   By returning the list instead of printing the numbers directly, we make the code more testable because we can now write unit tests that assert the correctness of the generated list.

If boggles my mind that I see threads of people saying "what if we train LLMs to do this or to do that?" or whatever. Guys, just ask the LLM to do what you want in plain English. It can do it.