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
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How to use this template
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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