DSA interviews are pattern-recognition tests. AI accelerates your practice by generating problems at your level, explaining solutions, and adapting to your gaps.
Traditional prep: buy a book, grind through 200 fixed problems, hope the ones you practiced come up. AI-powered prep: generate problems targeted to your specific gaps, get step-by-step hints without spoilers, explain why a solution works — not just that it works.
You are my technical interview coach. I am preparing for
software engineering interviews at mid-tier tech companies.
My current level: [beginner / intermediate / advanced]
Topics I struggle with: [e.g., "dynamic programming, graphs"]
Language preference: Python
Generate a LeetCode-style problem that:
- Tests [specific topic]
- Is at [Easy/Medium] difficulty
- Has a clear, realistic problem statement
- Includes 2-3 example test cases
After I attempt it, you will review my solution and:
1. Identify bugs without giving away the fix
2. Ask me what the time/space complexity is
3. Show me the optimal solution only after I've attempted oneI've been stuck for 15 minutes. Give me a hint that:
- Does NOT reveal the algorithm
- Asks me a question that points me in the right direction
- Explains what pattern this problem falls into
My current thinking: [describe your approach so far]Review my solution:
[PASTE YOUR CODE]
Tell me:
1. Does it pass all test cases? Walk through each.
2. What is the time complexity? Space complexity?
3. What would a senior engineer say about the code quality?
4. How would you optimize this if performance mattered?
5. What is the most elegant solution to this problem?