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In this video, we explore Playwright CLI using GitHub Copilot and dive deep into some of its most powerful features — all in a hands-on, practical way! Here's what we cover in this video: What You’ll Learn in This Video: 🔹 Headed Mode – Run browsers in headed mode and interact with real websites like GitHub to verify button functionality. 🔹 Video Recording – Automate the Sauce Demo checkout flow and record it using Playwright CLI with --filename=saucedemo.webm. 🔹 Trace Viewer – Capture a full trace with screenshots and snapshots during the Sauce Demo checkout, save it as trace.zip, and inspect it using npx playwright show-trace. 🔹 Sessions – Manage multiple browser sessions with -s flags to isolate login states across different projects. Log into Sauce Demo and GitHub in separate sessions without interference, just like Chrome profiles. 🔹 Monitoring – Quick look at playwright-cli show for monitoring your automation workflows. 🔹 SKILL Files – Understand how Playwright CLI uses skill.md and other markdown files to keep automation token-efficient and context-aware when working with AI agents like GitHub Copilot. If you missed the last video on MCP Server vs Playwright CLI, make sure to check that out first — it lays the foundation for everything covered here! 👍 Like, Subscribe & hit the Bell icon for more content on Playwright, AI Agents, and Test Automation! #Playwright #GitHubCopilot #PlaywrightCLI #TestAutomation #SDET #SoftwareTesting #AIAgents #SDETSanjay