Part two gets into the part that actually costs money: what's broken under the hood, and what happens when nobody catches it.

Stanford research shows developers using AI tools produce less secure code than those without. IOActive's 2026 whitepaper found 31.6% of AI-generated code samples are fully exploitable. Yet the developers shipping it report higher confidence in the result. That gap is where vibe-coded sites get hit.

We walk through the real e-commerce audit from part one, the SEO and functionality issues nobody saw, and what the open-source ecosystem inherits when AI-generated code starts showing up in plugin marketplaces.

What's in this episode:

- The actual security findings from a vibe-coded e-commerce audit

- False confidence in AI-generated code

- Why "we'll add security audits later" is the most expensive sentence in DTC

- Vibe coding as a new threat to the open-source ecosystem

- Balancing speed and quality with AI tools

Featured drinks: Josh Reserve Cabernet Sauvignon North Coast and Voodoo Ranger Fruit Force.

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