When a developer ships AI-generated code that quietly starts misfiring, the technical team moves on. What's left is a customer experience problem, a reputation problem, and a relationship problem. All of which land in the lap of the one person who wasn't even in the room when the code got written. This episode gets into why that's happening more often than anyone wants to admit, and what fractional CMOs need to understand to stay ahead of it.
Casey looks at the specific failure mode that shows up when vibe-coded solutions hit real-world conditions. Not hypothetically. A real incident, a real client, leads getting hammered with text messages in the middle of the night because an API endpoint moved and the code had no way to back down gracefully. The argument running through the whole episode is that understanding when a developer is doing something wrong has quietly become part of the fractional CMO's job, and the ones who don't see it coming will eventually pay for it.
Key Topics Covered:
Where AI coding benchmarks actually stand right now and why the numbers matter to CMOs
Why AI legal review is a mistake and AI coding is a legitimate tool
The triple Venn diagram of predictable growth: strategy, talent, and leadership
Agentic AI and what it means to have a capable agent pulling reports from a broken CRM
The real cost when vibe-coded integrations fail without graceful backoff
Second-order consequences of AI development and how to think about them
Practical questions every CMO should ask developers before a custom-coded solution goes live
Tools for keeping locally-hosted AI solutions secure, including Tailscale
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