Core Viewpoint - The evolution of programming has transitioned from manual coding to AI-assisted development, significantly changing the role of programmers and the tools they use [4][6][8]. Group 1: Stages of Programming Evolution - **First Stage: Manual Craftsmanship** Early programming involved basic languages like Basic, Pascal, and C, with no IDE support, leading to a high dependency on accuracy [4][5]. - **Second Stage: Copy and Paste Dominance** The rise of graphical IDEs and the internet allowed programmers to leverage search engines and online resources, shifting the focus from original coding to code assembly [6][7]. - **Third Stage: The Era of AI** The introduction of AI programming tools has transformed coding practices, allowing programmers to rely on AI for code generation and optimization, reducing the need for traditional coding skills [8][10]. Group 2: AI Programming Tools - **Cursor** An AI IDE optimized for VS Code, known for its strong code understanding and project-level analysis capabilities [13]. - **Windsurf** An AI tool with long-term memory, capable of understanding project context and suitable for complex tasks [14]. - **Trae** Developed by ByteDance, this AI IDE integrates deeply with AI to provide intelligent Q&A and code auto-completion features [15]. - **Lingma IDE** An Alibaba product that integrates cloud services, allowing AI to automatically call tools for end-to-end task completion [16]. - **VS Code + Copilot** This combination offers a rich plugin ecosystem, enhancing AI capabilities through the Copilot plugin [17].

Core Viewpoint - The release of Chinese documentation for IntelliJ IDEA marks a significant step towards enhancing user experience and localization services for Chinese developers [2][6]. Group 1: Documentation Release - IntelliJ IDEA has launched Chinese documentation, which is a positive response to the needs of Chinese developers and signifies a trend towards improved user experience [2]. - The Chinese documentation is primarily machine-translated, which, while helpful, still contains some English screenshots that may cause confusion [3][6]. Group 2: User Experience Improvement - The availability of Chinese documentation significantly reduces the time developers spend on translation, making it easier for those with limited English proficiency to access the information [6]. - Despite some translation issues, the overall readability of the documentation has improved, allowing most users to understand the content [7]. Group 3: Competitive Landscape of IDEs - The IDE market is highly competitive, especially with the integration of AI capabilities that enhance functionality [7]. - Several AI-driven IDEs are emerging, such as: 1. Cursor: Optimized for VS Code with strong AI code understanding and project-level analysis [7]. 2. Windsurf: Features long-term memory to understand project context, mimicking human thought processes [8]. 3. Trae: ByteDance's AI IDE with intelligent Q&A and code auto-completion [9]. 4. Lingma IDE: Integrates Alibaba Cloud services for end-to-end task completion [10]. 5. VS Code + Copilot: Richest plugin ecosystem enhanced by AI [11].