So, I'm going through MOOC 2024 material at the moment, and what I've noticed is that model solutions,  compared to mine, are often cleaner and shorter.

Example of my solution:

    array: list[int] = []
    number: int = 1
    
    while True:
        print(f"The list is now {array}")
        decision: str = input("a(d)d, (r)emove or e(x)it: ")
        
        if decision == "x":
            break
        elif decision == "d":
            array.append(number)    
            number += 1
        elif decision == "r":
            if len(array) == 0:
                print("There's nothing to remove!")
                continue
            array.pop()
            number -= 1
    print("Bye!")

Example of model solution:

    list = []
    while True:
        print(f"The list is now {list}")
        selection = input("a(d)d, (r)emove or e(x)it:")
        if selection == "d":
            # Value of item is length of the list + 1
            item = len(list) + 1
            list.append(item)
        elif selection == "r":
            list.pop(len(list) - 1)
        elif selection == "x":
            break
     
    print("Bye!")

  
My concern is that I understand why the model solution is better after seeing it, but I can't imagine how I would be able to come to something similar (short, simple, clear) if I do it my way almost every time.   
Does it get better with practice, do you start seeing how to simplify your code? 

Will it get better?