Big-O complexity analyzer prompt for code

Paste any function and get its time and space complexity explained clearly, with a faster alternative if one exists.

بواسطة ‪Ahmed Eid‬‏0 نسخة

متى تستخدم هذا البرومبت

  • When preparing for coding interviews and checking your own solutions.
  • When a function is slow and you need to confirm whether it's algorithmic or environmental.
  • When reviewing a pull request that touches a hot loop.

نص البرومبت

Analyze the time and space complexity (Big-O) of this {{language}} code. Explain the reasoning per section and suggest a more efficient approach if one exists.

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{{language}}{{CLIPBOARD}}

الكتلة {{CLIPBOARD}} تُستبدل تلقائياً بما نسخته قبل الضغط على «نسخ».

كيف تستخدمه

  1. انسخ البرومبت بالزر أو املأ المتغيرات أولاً.
  2. الصقه في ChatGPT أو Claude أو Gemini.
  3. عدّل النتيجة أو أعد الطلب بتغيير المتغيرات.

مثال على النتيجة

Time complexity: O(n^2), the inner indexOf call scans the array on every outer iteration.

Space complexity: O(1) extra space, aside from the input array itself.

Faster approach: build a Set of seen values first, reducing time to O(n) at the cost of O(n) space.

نصائح للاستخدام

  • Paste the full function including any helper calls, since complexity often hides inside them.
  • Ask for best-case, average-case, and worst-case separately if they differ meaningfully.
  • For interview prep, ask it to also state the complexity in the standard notation you'd say out loud.

أسئلة شائعة

Does it account for the complexity of built-in functions I call?
Yes, it factors in the real cost of calls like indexOf, sort, or includes, not just the loops you wrote.
Can it suggest an optimized rewrite, not just analyze?
Yes, ask explicitly for the optimized version alongside the complexity analysis.

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