Avoiding Common AI Coding Pitfalls

After many mistakes, I have learned to watch for common AI coding pitfalls. Never trust generated code without understanding it, you might introduce subtle bugs. Watch out for outdated library versions, AI sometimes suggests deprecated methods. Be specific about your tech stack, vague prompts lead to generic solutions. Break large requests into smaller pieces, AI works better with focused tasks. Always test security-sensitive code thoroughly, AI does not always consider vulnerabilities. And remember that AI can hallucinate non-existent functions or libraries. With these precautions, AI coding assistants are incredibly powerful, but blind trust will eventually cause problems.