Leetcode 4 Median of Two Sorted Arrays Java Solution

// SOLVING THIS WITH AN AI ASSISTANT (2026)

If you are working through this problem with an AI coding assistant — Claude, ChatGPT, Cursor chat, Gemini, GitHub Copilot, Aider, or any agent — the goal isn’t to ask for the answer. It is to use the tool to understand the pattern. The prompt sequence I’d run:

Spec it back to me first. “In your own words, what is this problem actually testing? What’s the smallest example that fails the naive approach?”
Brute-force first, optimize after. “Write the simplest correct solution, even if it’s O(n²). Don’t optimize. Just make it correct, with comments explaining each step.”
Ask for the upgrade. “Now show me the optimal solution. What insight makes it possible? What pattern is this an instance of?”
Stress-test it. “Generate 10 edge cases — empty input, single element, duplicates, max size, sorted, reverse-sorted. Run my solution against each.”

The pattern matters more than the answer. If the agent just hands you optimized code, you’ve trained yourself to lose interviews.

There are two sorted arrays nums1 and nums2 of size m and n respectively.

Find the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).

You may assume nums1 and nums2 cannot be both empty.

Example 1:

nums1 = [1, 3]
nums2 = [2]
The median is 2.0

Example 2:

nums1 = [1, 2]
nums2 = [3, 4]
The median is (2 + 3)/2 = 2.5

Solution 1:

class Solution {
    public double findMedianSortedArrays(int[] nums1, int[] nums2) {
        int totalLength = nums1.length+nums2.length;
        int[] helper = new int[totalLength];
        int count = 0;
        int left = 0;
        int right = 0;
        
        while(left<nums1.length && right<nums2.length && count<=((totalLength/2)+1)){
            if(nums1[left]<=nums2[right]){
                helper[count] = nums1[left];
                left++;
            }else{
                 helper[count] = nums2[right];
                right++;
            }
            count++;
        }
        
        while(count<=(totalLength/2)+1){
            if(left<nums1.length){
                   helper[count] = nums1[left];
                left++; 
            }else if(right<nums2.length){
                helper[count] = nums2[right];
                right++;
            }
            count++;
        }
        double median;
        int mid = totalLength/2;
        if(totalLength%2==0) {
            //System.out.println(helper[mid-1]+" "+helper[mid]);
             median = (double)(helper[mid-1]+helper[mid])/2;
        }else{
            median = (double)helper[mid];
        }
        return median;
    }
}

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rajendra