Most developers don’t trust AI. Until it writes code that works. Then suddenly… they do. The Shift That’s Happening Quietly You paste a prompt. It generates a function. You test it. It works. You move on. No deep review. No second guessing. Because it looks right. That’s the moment trust creeps in. The Problem Isn’t AI Code AI-generated code isn’t the real issue. The issue is how quickly we stop questioning it. We assume: the logic is correct the inputs are handled safely the dependencies are fine the security is “good enough” But AI doesn’t know your system. It doesn’t know: your access controls your data sensitivity your internal architecture your compliance requirements It predicts patterns. That’s it. Why This Is Getting Risky Modern AI security research is already pointing this out. The OWASP Foundation highlights risks like insecure outputs, prompt injection, and unsafe integrations in its LLM security guidance. And it’s not just theory.…