Jan 16
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The "blind spot" in AI-assisted coding is finally gone. Until now, AI coding assistants like Cursor and Claude could write code, but they couldn't see what happened when that code hit the browser. They were guessing based on syntax, not reality. In this video, we dive into the Chrome DevTools MCP (Model Context Protocol) server. This official tool from the Google Chrome team allows your AI assistant to directly interact with a live Chrome instance—inspecting the DOM, tracking network requests, reading console logs, and even recording performance traces in real-time. What You’ll Learn: The Problem: Why "blind" AI generation leads to bugs and layout shifts. The Solution: How MCP gives AI "eyes" inside your browser. Capabilities: Capturing screenshots, fixing console errors, and running Lighthouse audits directly from your chat. This video uses website of chaicode.com which is owned by @chaiaurcode Links & Resources: 🔗 Official Article: https://developer.chrome.com/blog/chrome-devtools-mcp 🔗 Official GitHub Repo: https://github.com/ChromeDevTools/chrome-devtools-mcp 🔗 Anthropic MCP Documentation: https://modelcontextprotocol.io If you found this video helpful, please Like, Subscribe, and hit the Bell icon to stay updated on the latest in AI and Web Development! 🚀 #FrontendDevelopment #ChromeDevTools #MCP #AI #WebDev #CursorIDE #ModelContextProtocol #JavaScript #CodingAssistant