AI coding tools promise faster software development, but speed may be creating a new problem: lower-quality software at scale.

In this episode of Today in Tech, Keith Shaw speaks with Dan Faulkner, CEO of SmartBear, about why AI-generated code could be outpacing the testing, review and quality controls needed to keep software reliable. Faulkner explains why business leaders could be confusing faster coding with better software development, how “automation bias” can lead developers to trust AI output too quickly, and why intent validation may become a critical new step in the software development lifecycle.

They also discuss the risks of AI-generated bugs, weak testing processes, security vulnerabilities, “slop squatting,” and whether the industry is heading toward a high-profile software failure caused by unchecked AI code generation.

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