Get Minimum Boxes
Reported by candidates from Amazon's online assessment. Pattern, common pitfall, and the honest play if you blank under the timer.
Amazon's July OA threw Get Minimum Boxes at candidates and nobody saw the math trick coming. You're given some constraint on box dimensions or weight capacity, and you need to find the minimum number of boxes to fit or hold something. The real move is recognizing this is a greedy or mathematical optimization problem, not a search. StealthCoder will catch the pattern in real time if you freeze, so you can focus on the logic once you read the full prompt.
Pattern and pitfall
This problem hinges on greedy selection or a direct calculation. Most candidates overthink it by trying dynamic programming or brute force. The trick is usually that you can always pick the optimal item size at each step, or there's a mathematical formula that cuts through the recursion entirely. Common pitfall: trying to simulate box packing when you should be computing. If the problem gives you item sizes and box capacity, the answer often involves ceiling division or sorting items in descending order and greedily filling. StealthCoder reading the live prompt will immediately spot whether it's a math formula or a greedy loop, so you won't waste time on the wrong approach.
Drill it cold or hedge it with StealthCoder. Either way, don't walk into the OA hoping you remember the trick.
You can drill Get Minimum Boxes cold, or you can hedge it. StealthCoder runs invisibly during screen share and surfaces a working solution in under 2 seconds. The proctor sees the IDE. They don't see what's behind it. Made for the candidate who got the OA invite this morning and has 72 hours, not six months.
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Amazon reuses patterns across OAs. Made for the candidate who got the OA invite this morning and has 72 hours, not six months. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Get Minimum Boxes FAQ
Is this actually a hard problem or is there a shortcut?+
There's almost always a shortcut. Amazon doesn't ask you to code a complex simulation. Either it's a ceiling division formula, a greedy loop, or a sorting insight. Read the constraints carefully. If box capacity is fixed and items vary, greedy sorting is your play.
Should I try all permutations or combinations?+
No. If you're thinking permutations, you've missed the pattern. Get Minimum Boxes is not a search problem. It's optimization. Sort, apply a greedy rule, or compute directly. You won't brute force this in the time limit.
What if there are multiple constraints like weight and dimension?+
Handle both. You'll often need to check both constraints and pick the one that requires more boxes, or apply them sequentially. Still greedy or math. No recursion needed unless the problem statement explicitly requires it.
How do I prep in 48 hours without seeing the exact problem?+
Practice ceiling division, greedy sorting, and simple bin packing. Know how to check if items fit into a box using multiple attributes. Then trust your read on the live OA. StealthCoder is your safety net if you blank on the first attempt.
Is this one of those problems that changes every test or is it fixed?+
Amazon reuses variants of this problem. The core logic stays the same. If you understand the greedy or math principle, you'll adapt fast. The specific item sizes and box capacities change, but the approach doesn't.