Question
You are given an n x n `grid` of distinct elevations. Starting at the top-left cell (0,0), you want to reach the bottom-right cell (n-1, n-1). You may move up/down/left/right. The cost of a path is the maximum elevation of any cell it visits (including start and end). Return the minimum possible path cost — i.e. the smallest value t such that there's a path where every cell's elevation is <= t.
min_max_elevation(grid: list[list[int]]) → int[[[0,2],[1,3]]]out3State your approach and its time/space complexity out loud before you optimize. Handle the edge cases (empty input, duplicates, overflow), and say why you chose this over the brute force. Green tests are the floor, not the grade.
Vibe coding: describe the solution in plain language (or narrate it) and the coach grades your approach. Generating runnable code from your description is coming next.