#332 Dan Faulkner: The Code Is Clean. The App Is Broken. Why AI Development Has an Integrity Problem

About this episode

Dan Faulkner discusses the integrity problems in AI development and the risks associated with rapid coding.

What happens when AI writes code faster than anyone can test it? In this episode of Eye on AI, Craig Smith sits down with Dan Faulkner, CEO of SmartBear, to explore one of the most underappreciated risks of the AI coding boom. As tools like Claude Code and Codex push software development to unprecedented speed, the systems built to validate that software are being left behind. Dan makes a distinction that every engineering leader needs to hear: clean code passing unit tests is not the same as an application that actually works. Dan introduces the concept of application integrity, continuous and measurable assurance that your software does everything it was intended to do and nothing it was not. He explains why the gap between what AI builds and what teams actually validate is already creating hidden risk in production, and why that risk compounds the faster you ship. We also get into the new failure modes that agentic AI is introducing. Slop squatting, instruction inversion, cascading errors. These are not theoretical. They are happening now, at scale, in codebases that no human has fully read. Dan also walks through SmartBear's autonomy ladder framework and their newest product…

People in this episode

Host: Craig Smith

Guest: Dan Faulkner

Topics covered

• AI development
• software integrity
• coding risks
• application validation
• engineering leadership

Keywords

• AI coding
• software development
• application integrity
• unit tests
• engineering risks
• SmartBear
• BearQ

Mentioned in this episode

Organizations: SmartBear

Products: Claude Code, Codex, BearQ

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