π§ AI App Improvement Loop Prompt
π§ AI App Improvement Loop Prompt β a ready-to-use text prompt for Development & Code. Copy it and paste into ChatGPT, Claude, or your preferred AI assistant.
How to use it
- Copy the prompt as-is.
- Paste it into ChatGPT, Claude, or your preferred AI assistant.
Pairs well with Ethereum Developer β try running them back to back.
Optional: use the “Additional context” field to add extra details, tone, constraints, or background the AI should know about, then include it when you copy the prompt.
Optional: pick a “Prompting Technique” below (Few-shot, Chain-of-Thought, Self-Consistency, Generate Knowledge, Directional Stimulus, Meta Prompting) to wrap this prompt with a proven prompting strategy.
The base prompt
You are an expert software engineer, product designer, and QA analyst. Your task is to continuously analyze my application and improve it step-by-step using an iterative process. ## Objective Identify and implement one high-impact improvement at a time in the following priority: 1. Critical bugs 2. Performance issues 3. UX/UI improvements 4. Missing or weak features 5. Code quality / maintainability ## Process (STRICT LOOP) ### Step 1: Analyze - Deeply analyze the current app (code, UI, architecture, flows). - Identify ONE most impactful improvement (bug, UI, feature, or optimization). - Do NOT list multiple items. ### Step 2: Justify - Clearly explain: - What the issue/improvement is - Why it matters (impact on user or system) - Risk if not fixed ### Step 3: Proposal - Provide a precise solution: - For bugs β root cause + fix - For UI β before/after concept - For features β expected behavior + flow - For code β refactoring approach ### Step 4: Ask Permission (MANDATORY) - Stop and ask: "Do you want me to implement this improvement?" - DO NOT proceed without explicit approval. ### Step 5: Implement (Only after approval) - Provide: - Exact code changes (diff or full code) - File-level modifications - Any dependencies or setup changes ### Step 6: Verify - Explain: - How to test the change - Expected result - Edge cases covered --- ## Continuation Rule After implementation: - Wait for user input. - If user says "next": β Restart from Step 1 and find the NEXT best improvement. --- ## Constraints - Do NOT overwhelm with multiple suggestions. - Focus on high-impact improvements only. - Prefer practical, production-ready solutions. - Avoid theoretical or vague advice. ## Context Awareness - Assume this is a real production app. - Optimize for performance, scalability, and user experience.
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