How good is GitHub Copilot at generating Playwright code?

The author of this text has experimented with AI tools like ChatGPT and Claude to generate Playwright tests, but found that "normal AI consumer tools" aren't code-focused enough. They then turned to GitHub Copilot, an AI-assisted coding tool, to see if it could help with test generation. The author learned that a good LLM coding prompt consists of multiple building blocks, including role prompting and setting clear code generation boundaries. They also discovered that providing application code and context is essential for generating high-quality Playwright tests. The author found that Copilot has two significant advantages when used for coding: it can embed source code into prompts and provide project-specific roles and instructions. However, they concluded that relying solely on AI to generate end-to-end tests is an "intriguing myth" and that human expertise is still necessary to ensure test quality. The author believes that new Playwright tools may monitor the DOM and feed HTML snapshots to LLMs to generate locators and actions, which could be a better approach than prompting source code.