Top 7 Problems in AI-Generated Code (and How to Fix Them)

AI tools are powerful, but they consistently create the same types of issues.

Common problems

• Duplicated logic across files
• Inconsistent naming and structure
• Missing validation
• Poor error handling
• Security vulnerabilities
• Slow queries and inefficient logic
• Hard-to-maintain codebases

How to fix them

The key is not rewriting everything—but cleaning and structuring what exists.

• Refactor duplicated code
• Standardize architecture
• Add validation and safeguards
• Secure APIs and sensitive data