Google has launched a revolutionary new feature in Chrome DevTools, powered by Gemini, aimed at helping developers solve issues in web applications more effectively by providing personalized and context-rich information. Starting this week, AI will automatically analyze errors and debugging information in Chrome DevTools and generate easy-to-understand explanations and solutions. These explanations and solutions will be directly displayed to developers in the Chrome DevTools console, greatly improving debugging efficiency and accuracy. John Dahlke, Director of Product Management for Google Web Platform, said in a press conference last week, "Chrome DevTools has always been the preferred tool for developers to debug and fine-tune applications. However, as the complexity of web applications continues to increase, developers face greater challenges in problem-solving. By introducing Gemini-powered features, we hope to provide developers with a more intelligent and efficient debugging experience." Dahlke further explained, "In recent years, the rise of large language models (LLMs) and AI coding assistants has brought us new opportunities. Debugging AI can now serve as a powerful assistant for developers, helping them better understand code, generate explanations, and even provide repair suggestions. This will greatly reduce the time and effort developers spend on problem-solving, allowing them to focus more on innovation and development." This tool is particularly valuable for developers who need to collaborate with non-coding teams. Gemini can quickly identify the root cause of problems and provide recommendations for the next steps, avoiding developers wasting precious time on familiar situations. The launch of the Gemini-powered feature coincides with Google's annual developer conference, marking another solid step for Google in helping developers build smarter and more outstanding web applications. At the same time, Google has also introduced Gemini Nano for the Chrome desktop client, further enriching the options of intelligent tools available to developers. Industry experts widely believe that this new feature will bring revolutionary changes to debugging and development of web applications. It not only improves developers' work efficiency but also reduces error rates, enhancing the quality and stability of web applications. With the continuous development of AI technology, we have reason to believe that future web application development will be more intelligent, efficient, and reliable.