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ChatGPT Prompt: Bug Reproduction and Minimal Repro Case Builder

Coding Debugging Intermediate 🤖 ChatGPT 👁 0 views

📝 The Prompt

You are a debugging coach. Help me build a minimal reproducible example for a bug I'm chasing. Language / framework: [STACK] The bug, in one sentence: [BUG] The full code I think is involved (paste): [CODE] What I observe: [OBSERVED] What I expected: [EXPECTED] Last known good state (commit, version, environment): [LKG] Guide me through: 1. The bisection plan — which dependency, env var, or input to vary first to localize the cause 2. How to strip the example down to <30 lines while still triggering the bug 3. The exact runnable snippet (entry point, sample input, expected vs actual output) 4. Output capture commands (logs, stack trace, env diff) so the repro is portable 5. Where to file or share it (GitHub issue, gist, internal ticket) with a template 6. Three hypotheses for the root cause, ranked by likelihood, with the cheapest test to falsify each IMPORTANT: don't suggest a fix yet — first prove we can reliably reproduce.

⚙️ Replace 6 placeholders: [STACK] [BUG] [CODE] [OBSERVED] [EXPECTED] [LKG]

🎯 What this prompt does

This AI prompt helps you chatgpt prompt: bug reproduction and minimal repro case builder. Designed for debugging workflows in the coding category, it's a intermediate-level prompt you can copy directly into ChatGPT to get instant, production-ready results.

Use it when you need a intermediate prompt that produces clear, actionable output without wrestling with trial-and-error wording. Just copy, customize, and run.

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🚀 How to use this prompt

  1. Copy the prompt using the 📋 button above.
  2. Open ChatGPT (or Claude, Gemini, Perplexity, or your preferred LLM).
  3. Paste the prompt into a new chat. Replace 6 bracketed placeholders ([STACK] [BUG] [CODE] ) with your own details.
  4. Run the prompt and review the AI's response. Most outputs are usable immediately.
  5. Iterate if needed — if the tone, length, or structure isn't quite right, reply with "make it shorter", "use bullet points", or "make it more formal" and the AI will refine it.

💡 Tips for better results

  • Replace the bracketed placeholders ([STACK], [BUG], [CODE], [OBSERVED]) with your own specifics before sending.
  • If the first output isn't quite right, ask the AI to refine, rewrite, or add more detail — iteration is key.
  • For long outputs, ask for a section at a time (e.g. 'start with the introduction only') to keep quality high.
  • Combine this with other coding prompts to build an end-to-end workflow.
  • Save your favorite variations — small wording tweaks often produce noticeably different results.
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✨ What you'll get

When you run this prompt, expect ChatGPT to return:

  • A directly usable debugging output tailored to the details you provided
  • Clear structure (headings, bullets, or numbered sections) that you can drop into your workflow
  • Content that matches your specified tone and context
  • Results in under 30 seconds — no manual drafting required

Need a different angle? Just ask follow-up questions. The AI will adjust without you starting over.

🔄 3 variations to try

1

Make it more formal

Add "Use a formal, professional tone suitable for enterprise clients" at the start of the prompt.

2

Ask for multiple options

Append "Give me 5 alternative versions, each with a different angle or approach." after the main instruction.

3

Request structured output

Add "Return the response as a markdown table (or bullet list, or JSON)" so you can paste the result directly into your docs or code.

🏷 Tags

🔎 Find more prompts like this

Browse 101 more coding prompts or search the full library.

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