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Code Review Checklist for Pull Requests

Coding best-practices intermediate 🤖 ChatGPT 👁 4 views

📝 The Prompt

Generate a comprehensive code review checklist for pull requests in a [language/framework — e.g., Python/Django, TypeScript/React, Go] codebase. The checklist should cover: (1) Code correctness — logic errors, edge cases, null handling, (2) Security — input validation, authentication checks, secrets management, injection risks, (3) Performance — N+1 queries, unnecessary loops, memory leaks, (4) Readability — naming clarity, comment quality, function length, (5) Testability and test coverage — are changes covered by unit/integration tests? (6) Error handling — are errors caught, logged, and surfaced appropriately? (7) API contracts and backward compatibility, (8) Documentation updates. Format as a checklist reviewers can copy into their PR process.

⚙️ Replace 1 placeholder: [language/framework — e.g., Python/Django, TypeScript/React, Go]

🎯 What this prompt does

This AI prompt helps you code review checklist for pull requests. Designed for best-practices 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 1 bracketed placeholder ([language/framework — e.g., Python/Django, TypeScript/React, Go] ) 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 ([language/framework — e.g., Python/Django, TypeScript/React, Go]) 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 best-practices 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 76 more coding prompts or search the full library.

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