Question
Given a list of closed intervals `points[i] = [start, end]` representing balloons on a number line, you shoot arrows straight up. An arrow at x-coordinate `p` bursts every balloon whose interval contains p (start <= p <= end, inclusive on both ends). Return the minimum number of arrows needed to burst all balloons. Up to 10^5 intervals; coordinates are 32-bit ints. This is the minimum-stabbing-points problem — sort by end and greedily place arrows.
min_arrows(points: list[list[int]]) → int[[[10,16],[2,8],[1,6],[7,12]]]out2State 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.