Automating the Migration: Scaling Cypress to Playwright Migrations with AI-Driven Velocity

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 selector mapping with high precision. Ryan demonstrates a "human-in-the-loop" workflow that ensures the resulting Playwright code is not just functional, but idiomatic and maintainable. This migration strategy prioritizes a phased approach—starting with a proof of concept, implementing a dual-run period for validation, and establishing best practices like centralized page object models and strictly typed configurations. Attendees will gain a practical roadmap to slash migration timelines by over 50%, effectively eliminating framework debt across enterprise-level repositories. Discover how to leverage AI to bridge the gap between legacy scripts and modern automation, empowering your team to focus on high-value quality engineering rather than repetitive code conversion. Leave with the actionable metrics and proven strategies needed to turn a daunting migration into a streamlined, AI-driven success.