The Validation Gap – Why You Can’t Trust AI Blindly
Introduction AI can generate code faster than any human, but it doesn’t understand your business logic, your data, or your quality standards. In this post, we cover five critical validation mistake...
Source: DEV Community
Introduction AI can generate code faster than any human, but it doesn’t understand your business logic, your data, or your quality standards. In this post, we cover five critical validation mistakes that lead to undetected bugs, technical debt, and production failures. Mistake 1: Trusting AI‑Generated Code Without Review Description: Directly copying AI‑generated code into production without manual review or testing. Realistic Scenario: Developer uses AI to generate encryption code that uses insecure ECB mode but doesn’t review it. ❌ Wrong Prompt: Write AES encryption for sensitive data in Java Developer copies code without reviewing cryptography choices. ⚠️ Why it is wrong: AI may generate code with insecure defaults (ECB mode, static IV, weak key derivation). ✅ Better Prompt: Write AES-GCM encryption for sensitive data in Java. I will review the code. Please include: Proper IV generation (random, non-repeating) Key derivation using PBKDF2 Authentication tag verification Comments expl
