When a https://en.wikipedia.org/wiki/Recursion_(computer_science)[recursive] method call chain lacks an exit condition,
the https://en.wikipedia.org/wiki/Call_stack[call stack] will reach its limit and the program will crash due to a https://learn.microsoft.com/en-us/dotnet/api/system.stackoverflowexception[StackOverflowException].
In this example, `Pow` will keep calling `Pow` with `exponent - 1` forever, until the program crashes with a StackOverflowException.
Recursion provides some benefits.
* **Simplified code**: recursion can often lead to more concise and elegant code by breaking down complex problems into smaller, more manageable parts.
* **Improved code readability**: compared to iterative solutions, recursive solutions can be easier to understand and reason about.
However, it has disadvantages as well.
* **Stack overflow**: Recursive functions can lead to https://learn.microsoft.com/en-us/dotnet/api/system.stackoverflowexception[stack overflow] if the recursion is too deep, potentially causing the program to crash.
* **Performance overhead**: Recursive function calls can lead to poor performance due to the need to push and pop https://en.citizendium.org/wiki/Stack_frame#:~:text=In%20computer%20science%2C%20a%20stack,only%20exist%20at%20run%2Dtime[stack frames], making them potentially slower than iterative solutions.
* **Difficulty in debugging**: Debugging recursive code can be challenging, as multiple recursive calls can make it harder to track the flow of execution and identify logical errors.
* **Space complexity**: Recursive algorithms may require more memory compared to iterative approaches, as each recursive call adds a new frame to the call stack.
* **Lack of control**: Recursion can sometimes lead to infinite loops or unexpected behavior if not properly implemented or terminated, making it crucial to have proper base cases and exit conditions.