Gameskraft coding interview
questions, leaked.
4 problems reported across recent Gameskraft interviews. Top patterns: array, heap priority queue, dynamic programming. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Gameskraft's coding interview is all hard problems. Four of them. You're not walking in blind if you know what's coming: tree DP, greedy with heaps, cache design, and sliding-window optimizations. Array and heap patterns show up twice each. The company isn't testing fundamentals here. They want to see if you can spot which data structure kills each problem in the time limit. If you freeze mid-OA on a heap problem or blank on how to thread a doubly-linked list for cache eviction, StealthCoder surfaces a working solution in seconds while the proctor sees nothing.
Top problems at Gameskraft
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Maximize Sum of Weights after Edge Removals | HARD | 100.0 | 29% | Dynamic Programming · Tree · Depth-First Search |
| 02 | IPO | HARD | 65.7 | 53% | Array · Greedy · Sorting |
| 03 | LFU Cache | HARD | 65.7 | 47% | Hash Table · Linked List · Design |
| 04 | Sliding Window Maximum | HARD | 65.7 | 48% | Array · Queue · Sliding Window |
Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.
You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual Gameskraft OA. The proctor cannot see it. Screen share cannot detect it. Built by an Amazon engineer who used it to pass JPMorgan's OA and system design loop.
Get StealthCoder- array2 · 50%
- heap priority queue2 · 50%
- dynamic programming1 · 25%
- tree1 · 25%
- depth first search1 · 25%
- greedy1 · 25%
- sorting1 · 25%
- hash table1 · 25%
- linked list1 · 25%
- design1 · 25%
Every problem reported is HARD. No easy wins, no warm-up. Array appears in two problems (IPO and Sliding Window Maximum), and heap shows up just as often. The distribution tells you something: Gameskraft cares about optimization under constraints. IPO demands you see the greedy insight and pair it with a priority queue. Sliding Window Maximum is classic, but the heap variant trips people up. LFU Cache is a systems design problem disguised as a code problem. The fourth problem, Maximize Sum of Weights, layers dynamic programming over tree traversal with DFS. That's your wildcard. If you've drilled arrays and heaps hard, you'll recognize patterns fast. If tree DP isn't in your muscle memory yet, that's where StealthCoder becomes your hedge during the live assessment. Study heaps and arrays first. Tree DP and cache design second.
Companies with similar patterns
If you prepped for Gameskraft, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Gameskraft.
Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen and surfaces a working solution in under 2 seconds. Built by an Amazon engineer who used it to pass JPMorgan's OA and system design loop. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Gameskraft interview FAQ
Should I focus on array and heap problems first for Gameskraft?+
Yes. Array and heap each appear in two of the four problems reported. Start with IPO (greedy plus heap) and Sliding Window Maximum (heap and monotonic queue variants). Master those patterns and you cover half the interview. Everything else is layered on top of heap intuition.
How much time should I spend on tree DP before the interview?+
One of four problems uses tree DP with DFS. It's high value but comes after arrays and heaps. Give it serious time if you have it, but don't sacrifice heap fluency to study it. Tree DP is harder to improvise live, so this is where the safety net matters most.
Is LFU Cache a realistic problem for this interview?+
Yes. It's one of four problems reported. It's a design problem that requires hash tables, doubly-linked lists, and cache eviction logic all at once. It's brutal to code cleanly under pressure. Drill the architecture twice before interview day.
What's the hardest jump in difficulty I should expect?+
Every problem is HARD. There's no ramping. You walk in and hit Sliding Window Maximum or IPO or LFU Cache immediately. No EASY or MEDIUM buffer. Treat the first five minutes as your baseline setter, not your warm-up.
Which topic should I skip if I'm short on time?+
Don't skip. If forced, queue and linked-list appear in only one problem each. But LFU Cache (hard) and Sliding Window Maximum (hard) both demand linked-list and queue logic respectively, so skipping either is risky. Drill heaps and arrays, then everything else.