# Solving Leetcode Interviews in Seconds with AI: Maximum XOR of Two Numbers in an Array


	# Introduction
	In this blog post, we will explore how to solve the LeetCode problem "421" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like [Chatmagic](https://www.chatmagic.app), we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.

	# Problem Statement
	> Given an integer array nums, return the maximum result of nums[i] XOR nums[j], where 0 <= i <= j < n.   Example 1:  Input: nums = [3,10,5,25,2,8] Output: 28 Explanation: The maximum result is 5 XOR 25 = 28.  Example 2:  Input: nums = [14,70,53,83,49,91,36,80,92,51,66,70] Output: 127    Constraints:  1 <= nums.length <= 2 * 105 0 <= nums[i] <= 231 - 1  

	# Explanation
	Here's the breakdown of the solution:

*   **Greedy Bit-by-Bit Construction:** Start from the most significant bit (MSB) and greedily try to maximize the XOR result bit by bit. For each bit position, we aim to set it to 1 in the final result.

*   **Prefix Set:** Maintain a set of prefixes of the numbers encountered so far, considering only the bits from the MSB down to the current bit position.

*   **Check for Existence:** For each bit position, iterate through the prefix set. If there exist two prefixes `a` and `b` in the set such that `a ^ b = candidate` (where candidate is the current maximum XOR result we're trying to achieve), then we can achieve a '1' in that bit position, and we update the `max_xor` result.

*   **Time & Space Complexity:** O(N * 31), where N is the number of elements in `nums`. O(N) for the space used by the set.

	
	# Code
	```python
	def find_maximum_xor(nums):
    """
    Finds the maximum XOR result of two numbers in an array.

    Args:
        nums: A list of integers.

    Returns:
        The maximum XOR result.
    """

    max_xor = 0
    mask = 0
    for i in range(31, -1, -1):
        mask |= (1 << i)
        prefix_set = set()
        for num in nums:
            prefix_set.add(num & mask)

        temp_max_xor = max_xor | (1 << i)  # Try to set the i-th bit to 1
        for prefix in prefix_set:
            if (temp_max_xor ^ prefix) in prefix_set:
                max_xor = temp_max_xor
                break

    return max_xor
	```