Devsinc coding interview
questions, leaked.
2 problems reported across recent Devsinc interviews. Top patterns: array, hash table, linked list. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Devsinc's interview is a fundamentals check, not a grind. You're looking at just two reported problems across the entire assessment, both easy difficulty. Two Sum and Palindrome Linked List cover array, hash-table, linked-list, two-pointers, stack, and recursion in a single pass. This is manageable. The trap is treating it like a warm-up and showing up unprepared anyway. If you blank mid-assessment, StealthCoder runs invisible during the screen share and surfaces a working solution in seconds. But you won't need it if you spend two days drilling these exact patterns.
Top problems at Devsinc
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Two Sum | EASY | 100.0 | 56% | Array · Hash Table |
| 02 | Palindrome Linked List | EASY | 90.1 | 56% | Linked List · Two Pointers · Stack |
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 Devsinc OA. The proctor cannot see it. Screen share cannot detect it. Made by a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE.
Get StealthCoder- array1 · 50%
- hash table1 · 50%
- linked list1 · 50%
- two pointers1 · 50%
- stack1 · 50%
- recursion1 · 50%
Both problems are easy, which means execution speed and clean code matter more than algorithmic complexity. Two Sum teaches hash-table tradeoffs and array iteration. Palindrome Linked List forces you to understand pointer manipulation, recursion, and stack-based validation on a single data structure. The topic spread is wide by count but shallow by problem volume, so your focus is drill depth, not breadth. You need to solve Two Sum three different ways (brute force, hash-table, sorted array) and Palindrome Linked List via at least two approaches (recursive and iterative stack). If you hit the live assessment and freeze on one of these, StealthCoder is your invisible fallback, but treating it as your only backup is a mistake. Prep hard on these two. They're your entire surface area.
Companies with similar patterns
If you prepped for Devsinc, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Devsinc.
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. Made by a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Devsinc interview FAQ
Is two easy problems really all they ask?+
Based on collected reports, yes. Two Sum and Palindrome Linked List are the named patterns. Devsinc's assessment appears to test fundamentals and code clarity over variety. Focus on solving both perfectly rather than guessing at hidden problems.
Which problem should I solve first?+
Start with Two Sum. It's pure array and hash-table work with no pointer or recursion overhead. Once you own the hash-table tradeoff (time vs space), move to Palindrome Linked List, which requires all six topics combined.
Do I need to know recursion for this interview?+
Palindrome Linked List lists recursion as a topic, and it's a clean recursive solution. You don't need it as your only approach, but you should be able to write and explain the recursive version. Devsinc likely tests whether you understand the concept.
How many days should I spend prepping for Devsinc?+
Two to three days maximum. With only two problems reported, over-preparation is wasted time. Drill Two Sum variants and Palindrome Linked List approaches (recursive, iterative stack, fast-slow pointer) until you can code them in under five minutes each without looking anything up.
Is knowing hash-tables and linked-lists enough?+
Almost. The two problems together hit array, hash-table, linked-list, two-pointers, stack, and recursion. You don't need to be an expert in all six, but you need working implementations of hash-table lookup and linked-list pointer manipulation. The rest flows from those two foundations.