From Automation to Autonomy: The Next Evolution of Playwright Testing
Deep Dive (BEGINNER level)
Zaal 9
This deep-dive session introduces the essential foundations of Playwright for UI and API testing, focusing only on the core principles needed to build clean, reliable tests such as effective selectors, basic test structure, and simple API validation. Rather than dwelling on fundamentals, this brief groundwork sets the stage for a deeper exploration into Playwright’s emerging agentic capabilities.
The session then shifts focus to the evolving Playwright ecosystem, unpacking the differences between Playwright CLI and Playwright MCP (Model Context Protocol). Attendees will learn how MCP enables AI-assisted workflows, how it differs from traditional CLI-based execution, and when to use each in modern testing environments.
From there, the deep dive explores Playwright’s agentic toolkit -Plan, Generator, and Healer agents, showing how they can transform the way tests are designed, generated, and maintained. The session demystifies how these agents operate, how they collaborate, and how they can be guided effectively to reduce manual effort while avoiding common pitfalls like over-generation or brittle outputs.
A key highlight is prompt engineering for test automation, with a strong emphasis on crafting an effective Skill.md. Participants will learn how to encode domain knowledge, define guardrails, and structure prompts to make Playwright agents more accurate and token-efficient.
The session then shifts focus to the evolving Playwright ecosystem, unpacking the differences between Playwright CLI and Playwright MCP (Model Context Protocol). Attendees will learn how MCP enables AI-assisted workflows, how it differs from traditional CLI-based execution, and when to use each in modern testing environments.
From there, the deep dive explores Playwright’s agentic toolkit -Plan, Generator, and Healer agents, showing how they can transform the way tests are designed, generated, and maintained. The session demystifies how these agents operate, how they collaborate, and how they can be guided effectively to reduce manual effort while avoiding common pitfalls like over-generation or brittle outputs.
A key highlight is prompt engineering for test automation, with a strong emphasis on crafting an effective Skill.md. Participants will learn how to encode domain knowledge, define guardrails, and structure prompts to make Playwright agents more accurate and token-efficient.
Ashish Ghosh
ING Bank
Meet Ashish Ghosh, a seasoned Quality Engineering Lead and Architect with over 15 years of experience in the industry. Currently leading the Quality Engineering Center of Excellence at ING Bank, Ashish has played an instrumental role in reshaping the testing landscape, driving both Functional and Non-Functional testing streams. His contributions have not only revolutionized testing at ING but have also earned recognition from Forrester for setting new standards in efficiency and reliability.
Ashish’s expertise spans across Quality Assurance transformation, data transformation, and building advanced test automation frameworks. He is the creator of INGenious, an open-source, low-code test automation framework built on top of Playwright, which has become a game-changer in the automation space.
A strong advocate for knowledge sharing, Ashish actively contributes to the tech community through Medium and GitHub, where he has garnered a large following. With over 70 GitHub repositories showcasing starter guides on a variety of tools, platforms, and CI/CD solutions, Ashish is committed to empowering others in the field.
Ashish’s expertise spans across Quality Assurance transformation, data transformation, and building advanced test automation frameworks. He is the creator of INGenious, an open-source, low-code test automation framework built on top of Playwright, which has become a game-changer in the automation space.
A strong advocate for knowledge sharing, Ashish actively contributes to the tech community through Medium and GitHub, where he has garnered a large following. With over 70 GitHub repositories showcasing starter guides on a variety of tools, platforms, and CI/CD solutions, Ashish is committed to empowering others in the field.