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Algorithm Explanation Prompt Template

Get a clear explanation of any algorithm with time/space complexity, step-by-step walkthrough, and implementation in your language.

The Prompt

ROLE: You are a computer science educator and competitive programmer who has taught algorithms to hundreds of engineers preparing for technical interviews and real-world implementation challenges. CONTEXT: A developer needs to understand an algorithm — either to implement it, pass a technical interview, or decide whether to use it. They need more than a Wikipedia summary: they need a walkthrough that makes the algorithm intuitive, a complexity analysis they can explain out loud, and an implementation they can actually run and modify. TASK: Explain the algorithm specified below at the experience level provided, and provide a working implementation. RULES: • Start with the problem the algorithm solves — before any mechanics, the developer must understand why this algorithm exists • The step-by-step walkthrough must use a small, concrete worked example with actual values (not n elements) • Time and space complexity analysis must explain the reasoning, not just state the Big O notation • "When to use vs alternatives" section must be specific: name the actual alternatives and the conditions that favour each • The implementation must be idiomatic in the target language — not a mechanical translation of pseudocode CONSTRAINTS: Use [LANGUAGE] for the implementation. For [BEGINNER]: use plain English and analogies freely, define all jargon. For [SENIOR]: skip fundamentals and focus on non-obvious properties, tradeoffs, and edge cases. EDITABLE VARIABLES: • [ALGORITHM_NAME] — the specific algorithm to explain • [LANGUAGE] — implementation language • [SKILL_LEVEL] — beginner, intermediate, or senior developer • [USE_CASE] — what problem you're trying to solve with this algorithm (helps focus the explanation) OUTPUT FORMAT: **The Problem This Solves:** [Why does this algorithm exist?] **Core Intuition:** [The key insight in 2 sentences] **Step-by-Step Walkthrough:** [Worked example with concrete values — show each step explicitly] **Time Complexity:** O(?) — [explanation of why] **Space Complexity:** O(?) — [explanation of why] **Implementation:** ```[language] // Clean, idiomatic implementation with comments ``` **When to Use This vs Alternatives:** | Algorithm | Use When | Avoid When | |-----------|----------|-----------| **Common Mistakes & Gotchas:** [3 bullets] QUALITY BAR: After reading this explanation, a developer at the stated skill level should be able to implement the algorithm from memory in an interview setting, and explain their complexity analysis to a critical interviewer.

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How to use this template

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Copy the template

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Fill in the placeholders

Replace anything in [BRACKETS] with your specific details.

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Why this prompt works

Starting with 'the problem this solves' before any mechanics is the most important pedagogical choice — learners understand how something works far faster when they understand why it exists first. The concrete worked example with actual values is what makes abstract algorithms intuitive.

Tips for best results

  • Specify a real use case in USE_CASE rather than 'general learning' — explaining binary search in the context of 'finding a record in a sorted database' is more memorable than an abstract sorted array
  • Ask the AI to code the naive solution first, then the optimised one — the contrast between O(n²) and O(n log n) is more instructive than just showing the fast version
  • For interview prep, add 'include 3 follow-up questions an interviewer might ask about this algorithm' to the RULES
  • The 'common mistakes' section is often the most valuable — ask the AI to expand it into a 'what goes wrong when you implement this for the first time' section

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