Unreviewed AI Code Is Everywhere — Here's What Breaks First

A developer who built a security scanner for AI-generated code shares the five most common failure patterns found after scanning hundreds of samples: hardcoded secrets (~70%), empty catch blocks (~60%), missing input validation on API routes, overly permissive CORS, and console.log statements leaking sensitive data. The core issue is that AI produces plausible-looking code that passes quick human review but hides dangerous flaws in details, and using LLMs to detect these issues proved unreliable due to nondeterministic results.