Join an insightful presentation on the challenges and strategies for testing AI-generated code. As AI-assisted coding becomes increasingly prevalent, understanding how to effectively test this code is crucial. This event will cover three key phases of testing: the known knowns, where we define business-relevant behaviors; the known unknowns, focusing on property-based testing to manage edge cases; and the unknown unknowns, utilizing static analysis and mutation testing to prevent unforeseen bugs. Attendees will gain a comprehensive framework for ensuring confidence in AI-assisted application development. This session is ideal for developers looking to enhance their skills in testing and quality assurance in the context of AI-generated code.

Registration: Required
Cost: Free
Format: In person