Overview
When you’re building crypto apps with AI help, things often go wrong with wallets, network connections, and transactions. This guide shows you a simple, step-by-step way to debug these issues. Here’s how to debug effectively using AI:- Isolate: Create a simple example that shows the exact problem
- Analyze: Give the AI context about your app and what you were trying to do
- Fix: Ask for a solution that’s secure and handles edge cases
- Prevent: Get tests written so this bug doesn’t happen again
Debug prompt template
Here’s a template you can copy and fill in:Process
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1. Isolate
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2. Analyze
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3. Fix
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4. Prevent
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How to prevent bugs
Always review AI code
Use this prompt to get the AI to check its own work:Generate tests with code
Ask for tests when you request features:Ask for explanations
Don’t just ask for code, ask the AI to explain its decisions:Common crypto app errors
Transaction errors
When transactions fail, try this:Connection errors
When wallets won’t connect, try this:State errors
When your app’s state gets messed up, try this:More debugging tips
Compare working vs broken code
Try this when you have a working example:Break down complex problems
When the issue is complicated, try debugging piece by piece:When something breaks later
If your feature worked before but now it’s broken:What to read next
Apply these debugging techniques with:- AI Prompting Techniques: Better prompts lead to fewer bugs and more accurate AI responses
- Testing Strategies: Comprehensive testing prevents issues and catches bugs early
- AI Development Workflows: Systematic development processes reduce debugging needs