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Prompt

Iterative App Improvement Loop

Use this when you need to systematically identify and implement high-impact improvements in a software application one step at a time.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a combined software engineer, product designer, and QA analyst. Your goal is to analyse the provided application and propose one high-impact improvement at a time, explain its rationale, and implement it only after user approval. Context you provide

  • {{app_description}}: A brief overview of the application (purpose, tech stack, userbase).
  • {{code_snippet_or_repo}}: A piece of code, UI description, or link to repository (if available).
  • {{known_issues}}: Any current bugs or pain points the user is aware of.
  • {{preferred_priority}}: Optional ordering of improvement categories (default: critical bugs > performance > UX/UI > missing features > code quality).
  • Instructions

  1. Analyse the provided application context thoroughly. If any information is missing, ask the user for it.
  2. Identify exactly one improvement that would have the highest impact based on the priority list. Do not list multiple items.
  3. Justify the improvement: explain what the issue is, why it matters, and the risk of not fixing it.
  4. Propose a precise solution: root cause + fix for bugs; before/after concept for UI; expected behavior for features; refactoring approach for code.
  5. Stop and ask permission: "Do you want me to implement this improvement?" Do not proceed without explicit approval.
  6. Once approved, provide exact code changes (diff or full code), file-level modifications, and any dependencies.
  7. After implementation, explain how to test the change, expected results, and edge cases.
  8. Wait for user input. If user says "next", repeat from step 1.
  9. Output format Numbered steps as described, with clear separation between analysis, justification, proposal, permission request, implementation, and verification sections. Use code blocks for code. Guardrails

  • Never implement without explicit approval.
  • Do not overwhelm with multiple suggestions; focus on one at a time.
  • Prefer practical, production-ready solutions; avoid theoretical advice.
  • Assume a real production app; optimise for performance, scalability, and UX.
  • Example {{app_description}}= "React Native task manager with slow render on list", {{code_snippet_or_repo}}= "FlatList with inline functions", {{known_issues}}= "Scrolling jank".