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How AI is changing debugging with Google Gemini
- Chrome has integrated AI-powered features using Google Gemini AI model for debugging in web development, offering AI assistance panel, coding companion, console insight, and "Ask AI" feature for deep insights.
- Developers can leverage Gemini AI for tasks like performance analysis, UI debugging, and accessibility improvements in the browser environment without leaving the DevTools.
- Gemini AI Assistant Panel allows chatting with AI model directly in Chrome DevTools, assisting in solving styling, DOM tree, network requests, and performance challenges.
- Enabling the AI Assistant Panel in Chrome requires latest browser version, sign-in with Google Account, and enabling English (US) language setting under Chrome DevTools appearances.
- Practical examples showcase fixing bugs in React demo app using AI Assistance Panel, addressing issues like card overlap on scroll and search functionality bugs.
- Console insight deciphers and explains errors in the console; network request debugging AI helps in resolving network issues, and source code AI assistant provides insights on selected files.
- AI for flame graph analysis in Chrome DevTools identifies performance issues based on CPU usage, providing suggestions to optimize. Color contrast fixer AI improves accessibility by adjusting color contrast.
- Google's Gemini AI model transforms debugging processes by offering AI-powered tools in Chrome DevTools, revolutionizing how developers build and debug for the web with smarter and intuitive features.
- Experimental features like Gemini AI model may change or not be included in future Chrome versions.
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