Securing the Vibe-Coded App

You described what you wanted, the AI wrote it, it ran, and you shipped it. That's not a hypothetical anymore - it's how a real and growing share of production code gets written now, by indie builders and professional teams alike. It's also, per practitioners actually auditing this code, a security disaster in slow motion: 'secure AI coding is basically nonexistent at most orgs I've audited.' AI coding assistants are extremely good at producing code that works. They are not reliably good at producing code that's safe, and the gap between those two things is exactly where real breaches happen. Securing the Vibe-Coded App is the practical, non-paranoid guide to closing that gap. Inside, you'll learn: The specific, recurring vulnerability patterns AI coding tools actually produce - not generic OWASP theory A review process that catches real problems in AI-generated code without re-writing everything by hand Concrete guardrails: dependency scanning, secrets management, and least-privilege defaults that work for a solo builder Why AI-generated auth, input validation, and API endpoints need specific extra scrutiny What to actually check before you connect an AI-built feature to a real database or payment system How to keep shipping fast without shipping the breach Written for the builder who isn't going to stop using AI to code, and just wants to stop getting burned by it.