The False Sense of Security: AI Isn’t Always Right

Developers often trust AI-generated code without proper validation, leading to production bugs and system failures.

Why AI Makes Mistakes

• Limited training data context
• Outdated information
• Misunderstanding requirements
• Hallucination of non-existent APIs

Real Example

// AI suggests using a deprecated method
localStorage.setItem("user", JSON.stringify(userData));

// But doesn't warn about:
// - Storage limits
// - Privacy concerns
// - Browser compatibility
// - Data persistence issues

Critical thinking and validation remain essential skills.