Master data structures and algorithms with AI. Solve problems while explaining your approach, just like real interviews. Get instant feedback on code and communication.
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Problems
All difficulty levels
While Coding
Real interview
Follow-ups
Optimize further
Feedback
Code + communication
Follow this framework
Ask about input/output formats, edge cases, and constraints. Don't assume.
Share your approach before coding. Discuss different solutions and trade-offs.
Implement your solution with clear variable names and modular structure.
Walk through test cases, analyze complexity, and discuss optimization opportunities.
Master all coding interview topics
Most common type
DFS, BFS traversal
Optimization
O(1) lookups
Classic algorithms
Sliding window
Backtracking
LIFO, FIFO
More than solo problem solving
Real Pressure
Timed sessions
Explain While Coding
Practice narrating
Follow-up Questions
Can you optimize?
Hints When Stuck
Guided help
Code Quality
Style and structure
Complexity Analysis
Time and space
Edge Cases
Test coverage
Communication
Explanation clarity
Practice these and hundreds more
Given an array of integers, find the maximum sum of any contiguous subarray. Can you do it in O(n)?
Determine if a binary tree is balanced (height difference of left and right subtrees is at most 1).
Given a set of coins and a target amount, find the minimum number of coins needed. Return -1 if impossible.
Given two strings, determine if one is an anagram of the other. What's the optimal approach?
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