AI-generated code is increasingly common, with one industry leader forecasting that 90% of code will soon be authored by AI. While AI coding assistants result in massive productivity gains for development teams, they can also introduce hidden and hard-to-catch flaws in code. Hear from David Colwell, Vice President of AI & ML learning at Tricentis, as he explores the types of errors commonly found in AI-generated code and shares practical strategies and tools QE teams can use to prepare.