Why the "tsunami of code" is breaking QA | From the Bear Cave Ep. 3

Recent SmartBear research shows that 70% of teams are already seeing quality degrade with AI-generated code, creating a real bottleneck in the software-development lifecycle (SDLC). As output increases, QA teams are left choosing between delaying releases to validate changes or shipping faster with less confidence in what’s actually working.
In this From the Bear Cave clip, SmartBear CEO Dan Faulkner and CMO Kelly Wenzel dig into a growing gap in modern software development: how AI is accelerating code generation but testing and quality validation aren’t scaling with it.

The conversation breaks down why approaches like shift-left and traditional test automation fall short in this environment, especially when validating real user behavior vs. just code correctness, and why teams need a different model to keep up with AI-driven development.

Ready to do quality at AI speed and scale? See how BearQ’s always-on AI teammates autonomously explore, test, and validate your applications so you can ship faster with confidence: https://smartbear.com/product/bearq/