How to Fix AI-Generated Code That Is Not Working (Practical Guide)
Common AI Code Problems
When working with AI-generated code, you'll often encounter several common issues that can prevent your application from working properly. Let's explore these challenges and their solutions.
1. Missing Dependencies
AI tools often generate code without specifying all required dependencies. This leads to runtime errors and undefined references.
Quick Fix
Always check the import statements at the top of your files and ensure all dependencies are properly installed in your package.json.
Step-by-Step Fix Guide
Follow this systematic approach to diagnose and fix issues in AI-generated code:
- Start by identifying error messages in your console
- Check for syntax errors and missing semicolons
- Verify all imports and dependencies are correctly specified
- Test each component or function in isolation
Prevention Strategies
Implement these best practices to minimize issues with AI-generated code:
Write Clear Prompts
The quality of AI-generated code directly correlates with the clarity of your prompts. Be specific about:
- Your project's framework and version
- Required dependencies and their versions
- Expected functionality and edge cases
- Error handling requirements
Pro Tip
Break down complex features into smaller, focused prompts. This helps AI tools generate more accurate and maintainable code.
Written by Sarah Chen
Former startup founder, now helping others build with AI