60+ Best ChatGPT Prompts for Coding Interview Prep (2026)

Explain Big O notation with real-world examples. Then analyze the time and space complexity of this solution: [paste your code]. How would you optimize it?

Generate 3 different approaches to solve the Two Sum problem. Explain the trade-offs between each approach in terms of time complexity, space complexity, and readability.

I have a solution with O(n^2) time complexity. Help me optimize it to O(n log n). Walk me through the thought process step-by-step.

Write a detailed explanation of dynamic programming using the Fibonacci sequence. Then create a more complex DP problem similar in difficulty to LeetCode medium problems.

Compare recursive and iterative approaches to solving tree problems. When should I use each approach in a coding interview?

Create a challenging algorithm problem that combines arrays, sorting, and two pointers. Provide the optimal solution with full explanation.

Explain binary search trees, AVL trees, and red-black trees. When would I choose each in a production system? Create an interview question about tree balancing.

Design a LRU (Least Recently Used) cache from scratch. Explain the data structures needed and write the implementation with full walkthrough.

Compare hash tables, arrays, and linked lists. Create an interview question that tests understanding of which data structure to use in different scenarios.

Explain graph representations: adjacency list vs adjacency matrix. When should I use each? Create a medium-difficulty graph problem.

Walk me through implementing a trie data structure. Then create 5 problems that use tries and explain how a trie makes each one efficient.

Design a system that uses heaps, queues, and stacks together. Provide a real-world scenario and explain why each data structure is necessary.

Explain sliding window technique with 3 progressively harder problems. Show how to identify when sliding window applies.

Create 4 different two-pointer problems with solutions. Explain the pattern and when it applies to interview questions.

Teach me backtracking with 5 problems ranging from easy to hard. Include permutations, combinations, and constraint-based problems.

Explain the divide-and-conquer approach with merge sort and quicksort. When should I use each? Create an original divide-and-conquer problem.

Give me 6 graph problems that test DFS and BFS. Explain when to use each and how to implement both recursively and iteratively.

Create a matrix interview problem that requires finding connected components. Provide the solution with explanation of the algorithm.

Create a full mock coding interview with 3 progressively harder problems. Include time limits and constraints for each problem.

Give me a hard LeetCode-style problem on dynamic programming. Don't just give the solution - guide me through how to approach it step-by-step.

I solved this problem incorrectly. Help me debug it: [paste code]. Explain what went wrong and how to think about it differently.

Create a system design problem suitable for a coding interview. Ask clarifying questions, then discuss trade-offs of different architectures.

Test me on data structures and algorithms. Give me 5 quick questions with increasing difficulty. After I answer, provide detailed explanations.

I have 45 minutes to solve a problem I haven't seen before. Coach me on the approach before you give the solution.

How should I structure my approach when I see a new coding interview problem? Walk me through the exact steps and what I should communicate to the interviewer.

What should I do if I get stuck on a coding interview problem? Give me strategies for asking for help effectively without appearing unprepared.

How do I explain my thought process while coding? Give me a framework and an example of excellent communication during a coding interview.

Create 5 follow-up questions that show I'm thinking deeply about problems: edge cases, optimizations, variations, real-world applications.

What should I do after I finish a coding interview problem? What follow-ups should I suggest to the interviewer?

I solved the problem correctly but the interviewer asked 'Can you optimize this?' How do I approach optimization discussions in real interviews?