// 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:
The pattern matters more than the answer. If the agent just hands you optimized code, you’ve trained yourself to lose interviews.
Given an array of integers, return indices of the two numbers such that they add up to a specific target.
You may assume that each input would have exactly one solution, and you may not use the same element twice.
Example:
Given nums = [2, 7, 11, 15], target = 9, Because nums[0] + nums[1] = 2 + 7 = 9, return [0, 1]. Solution:
class Solution {
public int[] twoSum(int[] nums, int target) {
Map<Integer, Integer> temp = new HashMap<Integer, Integer>();
for( int i = 0;i<nums.length;i++){
if( temp.containsKey(nums[i])){
int[] returnVal = new int[2];
returnVal[0] = temp.get(nums[i]);
returnVal[1] = i;
return returnVal;
}
temp.put(target-nums[i], i);
}
return null;
}
} For the AI-native engineering side of HackerHeap — building MCP servers, comparing agents (Claude Code, Cursor, Windsurf, Codex, Gemini, Copilot), and weekly working code — see the Friday Build newsletter and the MCP archive.
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