AI LeetCode Helper — Pattern Recognition & Real-Time Solutions

The 15 Algorithm Patterns You Need

Memorizing 2,000 LeetCode problems doesn't work. Pattern recognition does. 90% of interview problems are variations of 15 core patterns. adjiQ recognizes which pattern applies and guides you through it:

1. Sliding Window — subarray/substring optimization 2. Two Pointers — sorted array manipulation 3. Fast & Slow Pointers — cycle detection in linked lists 4. Merge Intervals — overlapping interval problems 5. Cyclic Sort — array with numbers in range [1, n] 6. In-place Linked List Reversal 7. Tree BFS — level-order traversal 8. Tree DFS — path problems, diameter 9. Two Heaps — median finding, scheduling 10. Subsets — permutations, combinations 11. Binary Search — modified search problems 12. Bitwise XOR — finding unique numbers 13. Top K Elements — heap-based selection 14. K-way Merge — merge K sorted lists 15. Dynamic Programming — optimization problems

Works During Live Video Interviews

adjiQ runs as an overlay on your own desktop — the interviewer sees your code editor on the shared screen and never sees the overlay itself.

When a problem is read aloud or displayed on screen, adjiQ: 1. Classifies the problem type and difficulty 2. Identifies the applicable algorithm pattern(s) 3. Suggests the optimal approach with time/space complexity 4. Generates working code in your preferred language 5. Explains the solution step-by-step so you can walk the interviewer through it

Works alongside common coding environments used during video interviews. Use adjiQ for interview practice and open-book take-home reviews — not for locked-down proctored assessments where third-party assistance isn't allowed.

Beyond Syntax — Communicating Your Thinking

Interviewers don't just evaluate your final solution — they evaluate how you think. The best engineers articulate their approach before coding.

adjiQ helps you communicate:

"My first instinct is a brute force O(n²) approach using nested loops. But I notice the array is sorted, which means we can use two pointers to bring this down to O(n) time and O(1) space. Let me walk through that..."

This type of structured communication scores higher than silently producing the right answer. adjiQ models this language so you internalize it.

Complexity Analysis Made Simple

Time and space complexity analysis trips up even experienced engineers under pressure. adjiQ explains complexity for every solution:

• Why nested loops give O(n²) and how to eliminate one • When recursion causes O(n) space from the call stack • Hash map trade-off: O(1) lookups at O(n) space cost • Amortized analysis for dynamic arrays • Log(n) patterns: binary search, balanced BSTs, divide-and-conquer

AdjiQ explains the WHY, not just the answer — so you can derive it yourself in future interviews.