Coding Interview Prompt for Real Practice
A structured prompt that runs mock interview drills: problem, hints on request, then review of your solution — with a real example session.
Enhanced prompt — ready to use
ROLE You are a senior software engineer with expertise in interview preparation. Your goal is to help a candidate effectively prepare for a coding interview. TASK Design a comprehensive coding interview preparation plan that covers key topics such as data structures, algorithms, problem-solving techniques, and common coding challenges. Think through this step by step, including practice strategies, resources, and how to approach different problem types. Consider edge cases and typical interview formats. CONTEXT The user is preparing for a technical coding interview, likely in software engineering. The guidance should be practical, structured, and suitable for someone aiming to succeed in typical coding interviews at tech companies. REQUIREMENTS - Include fundamental and advanced topics for coding interviews (e.g., arrays, linked lists, trees, graphs, sorting, dynamic programming). - Suggest a step-by-step study plan with recommended resources (books, websites, coding platforms). - Provide strategies for solving coding problems and tips for the interview day. - Think step by step. Consider edge cases. - Verify the completeness and accuracy of the plan before finalizing. OUTPUT FORMAT Present the preparation plan in clear, numbered steps with explanations. Include bullet points for resource recommendations and tips.
That's what PromptAI produced from this vague prompt: “help me prepare for a coding interview”
Example result
Certainly! Below is a comprehensive, step-by-step coding interview preparation plan tailored for software engineering candidates aiming to succeed in typical technical interviews at top tech companies.
---
# Comprehensive Coding Interview Preparation Plan
---
### Step 1: Build Strong Foundations — Data Structures & Algorithms Basics
**Goal:** Understand core data structures and algorithms thoroughly, as these form the backbone of typical interview questions.
- **Topics to Cover:**
- **Data Structures:** Arrays, Strings, Linked Lists (singly, doubly), Stacks, Queues, Hash Tables/Dictionaries.
- **Algorithms:** Sorting (bubble, selection, insertion, merge, quick), Searching (linear, binary search).
- **Complexity Analysis:** Time and space complexity basics (Big O notation).
- **Study Tips:**
- Focus on understanding how and when to use each data structure.
- Implement each data structure from scratch if possible.
- Solve simple problems to get familiar with basic operations (insertion, deletion, traversal).
- **Recommended Resources:**
- Book: *"Cracking the Coding Interview"* by Gayle Laakmann McDowell — Chapters 1 & 2.
- Online Tutorials:
- [GeeksforGeeks Data Structures](https://www.geeksforgeeks.org/data-structures/)
- [Big-O Cheat Sheet](https://www.bigocheatsheet.com/)
- Coding Platforms: Easy level problems on LeetCode, HackerRank.
---
### Step 2: Master Core Algorithmic Techniques and Medium-Level Problems
**Goal:** Learn and practice fundamental algorithmic patterns and problem-solving techniques.
- **Topics to Cover:**
- Recursion and Backtracking
- Two-pointer and Sliding Window techniques
- Hashing and Frequency Counting
- Sorting and Searching variations
- Binary Trees (traversals, BST property)
- Graph Basics (representation, BFS, DFS)
- Basic dynamic programming (Fibonacci, subset sum)
- **Study Tips:**
- Practice problems focused on pattern recognition.
- Break down problems into smaller subproblems.
- Write clean, commented code emphasizing readability.
- Analyze and optimize your solutions.
- **Recommended Resources:**
- Book: *Elements of Programming Interviews* (EPI), chapters on recursion, trees, graphs.
- Online Courses:
- [Interview Cake](https://www.interviewcake.com/)
- [AlgoExpert](https://www.algoexpert.io/) (structured problem sets)
- Coding Platforms:
- Medium problems on LeetCode tagged with these concepts.
- HackerRank's "Algorithms" track.
---
### Step 3: Dive Into Advanced Topics and Hard Problems
**Goal:** Achieve proficiency in complex data structures and advanced algorithms to tackle challenging interview questions.
- **Topics to Cover:**
- Advanced Trees (AVL, Segment Trees, Tries)
- Graph algorithms (Dijkstra, Topological Sort, Union-Find/Disjoint Sets)
- Advanced dynamic programming (memoization, bottom-up DP, string DP)
- Greedy algorithms and interval problems
- Bit Manipulation
- Math & Number Theory basics (GCD, prime checking, permutations)
- **Study Tips:**
- Understand use cases and trade-offs of advanced structures.
- Practice step-by-step and write helper functions.
- Learn to identify when advanced techniques apply.
- Regularly revisit older topics for retention.
- **Recommended Resources:**
- Book: *"Algorithm Design Manual"* by Steven Skiena.
- Videos: WilliamFiset’s data structures playlist on YouTube.
- Online Judges: Hard difficulty problems on LeetCode, Codeforces Div 2 contests.
- Specialized websites:
- [TopCoder tutorials](https://www.topcoder.com/community/competitive-programming/tutorials/)
---
### Step 4: Develop a Systematic Problem-Solving Approach
**Goal:** Adopt a structured method to tackle coding problems efficiently under time constraints.
- **General Framework to Follow:**
1. **Clarify the Problem:** Ask questions, restate it in your own words.
2. **Identify Inputs & Outputs:** Define data types and edge cases.
3. **Think of a Naive Solution:** Discuss brute force approach first.
4. **Optimize:** Improve time/space complexity stepwise.
5. **Write Pseudocode:** Map out your code logic clearly.
6. **Code Carefully:** Focus on correctness and clean style.
7. **Test Thoroughly:** Use provided examples + custom edge cases.
- **Important Edge Cases to Consider:**
- Empty inputs or arrays of length one.
- Inputs with duplicates or all identical elements.
- Very large or very small values (e.g., max/min integers).
- Null or invalid input (if applicable).
- Boundary values for loops or recursion.
- **Practice Strategy:**
- Time yourself solving problems to simulate interview pressure.
- Regularly explain your logic aloud or to a peer/practice partner.
- Review solutions post-submission—learn from mistakes.
---
### Step 5: Mock Interviews and Communication Practice
**Goal:** Build confidence, improve communication, and experience real-time problem solving.
- **Activities:**
- Conduct timed mock interviews with peers or mentors.
- Use platforms offering live mock interviews (Pramp, Interviewing.io).
- Practice writing code on a whiteboard or shared editor.
- Focus on explaining your thought process, not just coding.
- Handle hints and feedback calmly.
- **Tips:**
- Treat mock interviews seriously—simulate real interview conditions.
- Practice behavioral questions briefly to balance technical prep.
- Reflect after each mock interview: what went well, what to improve.
---
### Step 6: Interview Day Preparation & Tips
**Goal:** Be mentally and physically ready to maximize your performance during the interview.
- **Key Tips:**
- Sleep well the night before; avoid last-minute cramming.
- Have a clear, quiet workspace with stable internet if virtual.
- Keep pen/paper ready for rough work.
- Start coding only after fully understanding the problem.
- Speak your thoughts clearly; interviewer appreciates your approach.
- Break down the problem logically.
- If stuck, verbalize challenges and try alternate approaches.
- Test code with multiple test cases including edge cases.
- Stay positive and composed, even if a solution takes time.
- Prepare a few questions to ask the interviewer about the team or role.
---
### Summary Checklist to Ensure Completeness
| Category | Covered Topics & Tips |
|-------------------------------|-------------------------------------------------------------------------------------|
| **Fundamentals** | Arrays, Linked Lists, Stacks/Queues, Hash Tables, Sorting, Searching |
| **Core Algorithms** | Recursion, Backtracking, Sliding Window, Binary Trees, BFS/DFS, Basic DP |
| **Advanced Topics** | Tries, Segment Trees, Graph Algorithms, Advanced DP, Greedy, Bit Manipulation |
| **Problem-Solving Framework** | Clarify, Naive → Optimize, Pseudocode, Code, Test + Edge Cases |
|How to adapt it
- •Name the company style (LeetCode-style, practical) and language.
- •Ask it to withhold the solution until you commit to an attempt.
Have your own rough prompt? Enhance it into a structured prompt like this in one click.
Enhance your own promptOr use the ChatGPT prompt enhancer right inside ChatGPT, the AI prompt enhancer for every other tool, or the prompt enhancer for Claude Code and Cursor in your editor.
More coding prompts
Code Translation Prompt That Preserves Behavior
A structured prompt that ports code between languages idiomatically, flagging behavior differences — with a real example translation.
Cron Job Prompt That Gets the Schedule Right
A structured prompt that converts plain-English schedules into correct cron expressions with timezone caveats — with a real example.
Data Analysis Prompt That Finds the Story
A structured prompt that plans an analysis: questions, methods, checks, and a chart list before any code — with a real example.
Docker Compose Prompt for Multi-Service Stacks
A structured prompt that writes a compose file with services, networks, volumes, and healthchecks — with a real example file.
Excel Formula Prompt That Just Works
A structured prompt that turns a plain-English calculation into a working Excel or Sheets formula with an explanation — with a real example.
PowerShell Script Prompt for Windows Automation
A structured prompt for PowerShell scripts with parameters, error handling, and safe defaults — with a real example script.