TestGuild Automation Podcast Playwright, Cursor & AI in QA with Ben Fellows
Aug 31, 2025
Ben Fellows, founder of LoopQA and a QA thought leader, joins the discussion on how AI is transforming test automation. He reveals how AI can reduce hours of coding to minutes, boosting code output significantly. Ben contrasts augmented coding with traditional methods, emphasizing Playwright's advantages in automation. He also discusses the future of QA, predicting a move towards natural-language and image-based testing by 2026. Listeners will gain practical insights on leveraging AI tools to improve productivity and adapt to evolving roles in QA.
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Two AI Paths In QA
- AI affects QA in two main ways: browser-driving agents (MCP) and code-augmentation tools for automation.
- Augmented coding is production-ready today while MCP-driven testing shows promise but is slower and costly.
Adjust Roles For AI-Driven Output
- Rebalance team roles: expect more code output and add reviewers to keep quality high rather than cutting reviewers.
- Rethink responsibilities as engineers shift from writing all code to reviewing AI-generated code.
AI As A Productivity Multiplier
- AI acts as a productivity multiplier by turning hours of page-object coding into minutes with high accuracy for locators.
- Teams see 3x–5x more high-quality code per engineer when using AI augmentation.