The decision to migrate from Cypress to Playwright is often stalled by the sobering reality of the manual effort required to rewrite extensive test suites. Traditionally, this involves months of tedious refactoring and logic translation that drains engineering resources and delays critical innovation. In this session, Ryan Song reveals a high-velocity framework designed to automate the heavy lifting of framework transition using Generative AI. He will move beyond simple prompts to explore a structured AI pipeline capable of handling complex asynchronous logic, custom commands, and...
Ryan Song

Based in Los Angeles, Ryan Song is a Staff Test Engineer at Iterable with over a decade of expertise in quality engineering. His versatile career spans high-growth startups, federal defense projects, and Fortune 50 companies. An alumnus of Texas A&M University in Industrial and System Engineering with Computer Science coursework from Oregon State University, Ryan specializes in system optimization and operations research. He is a two-time published author at the Pacific NW Software Quality Conference and a leader in Automation Testing and CI/CD. Proficient in Cypress and Playwright, Ryan excels at architecting robust test suites and managing large-scale repositories, building scalable systems that ensure technical excellence across diverse, high-stakes software platforms.