Core Viewpoint - Alibaba Cloud has launched its first AI-native development environment tool, Tongyi Lingma AI IDE, which is deeply integrated with the latest Qwen 3 model and offers various features to assist developers in coding tasks [1][3]. Group 1: Product Features - Tongyi Lingma AI IDE supports the powerful open-source model Qwen 3 and the MCP protocol, enabling rapid development of intelligent applications [3]. - The IDE includes features such as long-term memory, inline suggestion prediction, and inline conversation capabilities tailored for development scenarios [3][4]. - The intelligent agent mode allows developers to describe coding tasks, enabling the IDE to autonomously perform engineering perception, code retrieval, and tool invocation, thus completing coding tasks end-to-end [3]. Group 2: Use Cases and Applications - The integration with over 3,000 MCP services allows developers to quickly deploy solutions for various scenarios, such as creating a travel guide webpage in 10 minutes without writing code [3]. - The inline suggestion prediction feature helps developers efficiently complete code writing by dynamically predicting the next code modification based on current changes [3]. Group 3: Evolution of AI Coding - The evolution of AI-assisted programming is categorized into three stages: 1. Initial stage focused on chat-based Q&A and simple code completion, requiring significant human intervention [5]. 2. Increased automation in collaborative programming, where AI can complete more coding tasks with minimal instructions [5]. 3. High automation and self-validation, where AI can autonomously write, test, and optimize code, functioning like a junior engineer [5]. - The industry is transitioning from the first to the second stage, with products like Tongyi Lingma showcasing attempts towards end-to-end automated programming [5].

Core Viewpoint - The article provides a tutorial on how to generate web pages using AI tools and convert them into images, emphasizing the importance of the initial generation results and offering practical tips for adjustments using design software. Group 1: Web Page Generation - The article discusses the process of generating a web page using the DeepSeek-Prover-V2 model, highlighting the need for relevant documents such as papers or blog posts as input [4][5]. - It emphasizes the importance of using specific prompt phrases to ensure the generated content is concise and visually appealing, such as "try to display all information on one page" [6][9]. - The article outlines design principles for the generated web page, including the use of large fonts for key points, responsive design for larger displays, and a clean visual style [9]. Group 2: Design Adjustments - The article explains how to use Figma for manual adjustments to the generated web page, including importing the webpage and modifying elements for better visual coherence [12][15]. - It details the steps to refine the layout, such as adjusting widths and ensuring elements occupy the correct space, which enhances the overall presentation [18][21]. - The final steps include ensuring uniform margins and exporting the adjusted design, with suggestions for adding visual effects like gradient borders [22][23].