Core Viewpoint - Visual Studio Code (VSCode) is a free and open-source code editor developed by Microsoft, which has gained immense popularity among the developer community since its release in 2015 [1][2]. Group 1: Features and Extensions - VSCode is compatible with Windows, macOS, and Linux operating systems, and it has a vast extension marketplace that allows users to install various extensions to enhance the editor's functionality [3]. - The editor supports language integration, code formatting tools, version control, themes, and icons, making it highly customizable for developers [3]. Group 2: Popular Themes - One Dark Pro is a highly popular theme with 9 million installations, known for its color selection that reduces eye strain and enhances code readability [4][5]. - The theme provides a comfortable coding experience in low-light environments due to its dark background and contrasting text colors [6]. - Other notable themes include: - Material Icon Theme, which offers visually appealing and easily recognizable icons for files and folders [10]. - Nord, inspired by polar regions, features a cool color palette that is easy on the eyes [22]. - Dracula Official, known for its deep purple tones and high contrast, optimizing code readability [27]. - Minimal Kiwi, characterized by a fresh light green tone, providing a clean and comfortable interface [34]. - Shades of Purple, which offers a gradient from light to dark purple, ensuring good readability and customization options [42]. - Catppuccin, designed with soft and coordinated color schemes to alleviate visual fatigue during long coding sessions [49].

Core Viewpoint - The article emphasizes the urgency for technology professionals to adapt to the rapid development and application of AI, particularly large models, as traditional roles face salary cuts and layoffs while demand for AI talent surges [1]. Group 1: AI Application Trends - The current job market shows a significant shift, with many traditional tech roles being eliminated while companies are actively hiring AI model talent at high salaries, such as 60K*16 [1]. - There is a low entry barrier for AI application roles, where candidates need to meet capability requirements rather than age restrictions [1]. - Experience in front-end and back-end development is particularly valuable in the deployment of large models, enhancing the accuracy of applications like RAG [1]. Group 2: Skills and Knowledge Requirements - Professionals with vertical domain experience can better identify pain points for model deployment, combining technical and business knowledge [1]. - The necessity of AI tools for enhancing work efficiency has become a requirement for 80% of companies [1]. - Companies like Alibaba and ByteDance are prioritizing candidates with AI model experience, making it essential for job seekers to fill knowledge gaps in AI [1]. Group 3: Training and Development Opportunities - A training program is being offered to help individuals master AI model technology and improve their career prospects [3][4]. - The program includes live sessions covering typical business scenarios, technical architecture, and core principles of AI models like RAG and Transformer [3]. - Participants will receive practical experience through project simulations, which can be added to their resumes to enhance job prospects [11]. Group 4: Career Advancement and Networking - The training will provide insights into current hiring trends in major companies, including job roles, salaries, and career development paths from an interviewer's perspective [6]. - There are opportunities for internal referrals and direct hiring, increasing the chances of securing high-paying offers [6][8]. - The program has successfully helped over 20,000 students, many of whom have secured high-paying job offers [16].

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].

之前 介绍了一款 免费开源 Markdown 笔记神器 ，今天再来个更加轻量级的 Markdown 笔记神器 -- N oteGen ，它的能把 AI 的能力加进去，写起文章来更 加便捷，得心应手了～ NoteGen 是一款跨平台的 Markdown 笔记应用， 把 AI 能力直接塞进来来，可以帮我们 把零散记录 一键整理成条理清晰的笔记 ， 记录、写作、整理三 合一，写作效率直接起飞！ 为什么说它很轻量级，因为现在安装包只有 20 M 左右， 轻巧不占空间， 不像其他的应用工具，动不动几百 M。 | Windows | MacOS | Linux | Android | ਼ਹਿੰਦੇ | | --- | --- | --- | --- | --- | | V beta | V beta | V beta | * alpha | x alpha | | Download 17 MB | Download 20.7 MB | Download 21.7 MB | Download | Download | 项目名： NoteGen -- 免费、开源、跨平台的笔记应用 。 Github 开源地址： https:/ ...

Core Viewpoint - Joplin is a free, open-source, cross-platform note-taking application that supports various operating systems and offers a wide range of features for users to manage their notes effectively [2][3]. Features Overview - Joplin supports multiple platforms including Windows, macOS, Linux, Android, and iOS, providing a comprehensive solution for note-taking across devices [3][9]. - The application features a professional Markdown editor with real-time preview, LaTeX support for mathematical formulas, Mermaid diagrams, code highlighting, and table support [9]. - Users can choose from various synchronization options such as WebDAV, Dropbox, OneDrive, Nextcloud, Joplin Cloud, or self-hosted servers [9]. - Joplin emphasizes security with end-to-end encryption, private cloud options, password protection for notes, and encrypted exports [9]. - The application is designed for offline use, allowing users to edit without an internet connection, with automatic background synchronization when online [9]. - Joplin includes advanced knowledge management features such as multi-level notebooks, tagging systems, global search (including regex support), note linking, and template functionality [9]. - The application has a rich ecosystem of extensions, including themes, PDF export, OCR recognition, calendar integration, and over 100 plugins available for various functionalities [9][10]. - Joplin allows for seamless data migration, including perfect import from Evernote (attachments and metadata included) and bulk import/export of Markdown files [9]. - Users can customize the application extensively, including shortcut settings, editor themes, interface layout, and synchronization frequency [9]. - Joplin is open-source under the MIT license, with an active community and transparent code, avoiding subscription traps [9]. - The application serves as a productivity tool with features like to-do lists, task reminders, note history versions, and collaborative editing (supported by plugins) [9]. - Advanced search capabilities allow users to filter notes by notebook, tag, date, and geographical location, with the ability to save search results [9]. - Joplin supports attachment management, allowing previews of PDFs, Word documents, Excel files, images, and organizing resource folders [9].

Core Viewpoint - The open-source project Alist is reportedly suspected of being acquired by a company, leading to significant modifications in its Chinese documentation towards commercialization, raising concerns about user data privacy and the integrity of open-source projects [1][7]. Group 1: Project Overview - Alist is an open-source tool designed to provide users with a simple and powerful way to manage and access files across various cloud storage services, allowing multiple storage services to be mounted under a unified interface for easy browsing, searching, and downloading [5]. Group 2: User Sentiment and Concerns - The controversy surrounding Alist's potential sale has sparked intense discussions, reflecting the users' love and reliance on the project [7]. - The project has garnered over 49,000 stars on GitHub, indicating its popularity and user engagement [8]. Group 3: Security Issues - A recent pull request (PR 8633) submitted by new maintainers included code that collected user operating system information and uploaded it to a private address, which was later retracted due to public backlash, highlighting concerns about the potential poisoning of open-source projects [1].

Core Viewpoint - Visual Studio Code (VSCode) is a free and open-source code editor developed by Microsoft, which has rapidly gained popularity among the developer community since its release in 2015 [1][2]. Group 1: Features and Ecosystem - VSCode is compatible with Windows, macOS, and Linux operating systems, and it has a vast extension marketplace that allows users to install various extensions to enhance its functionality [3]. - The integration of AI technology into programming has made VSCode one of the most favored editors, with a rich ecosystem of AI plugins that significantly boost productivity [4]. Group 2: Mermaid Extension - The Mermaid Preview extension for VSCode is a text-based chart drawing tool that allows users to create various types of diagrams, including flowcharts, sequence diagrams, Gantt charts, class diagrams, and more, using a syntax similar to Markdown [6][7]. - Advantages of Mermaid include being text-driven for easier version control and collaboration, as well as having a simple and easy-to-learn syntax [9]. Group 3: AI Integration - The Mermaid Chart extension in VSCode now integrates powerful AI capabilities that can generate professional charts directly from code [18]. - By mentioning @mermaid-chart in GitHub Copilot Chat, the AI analyzes the source code and automatically generates the corresponding Mermaid syntax [19]. Group 4: Diagram Generation and Updates - The extension can detect changes in source code or requirements and offers a one-click option to update related diagrams [29]. - Users can generate cloud architecture diagrams automatically by using commands like "@mermaid-chart /generate_cloud_architecture_diagram," allowing for precise control over the output without manual intervention [31].

Incident Overview - The incident involving Bilibili was significant, lasting nearly four hours and affecting a wide range of services, leading to widespread discussion on social media platforms [3][19]. - The issues began around 5 PM and included homepage errors, video playback failures, and comment section unavailability, culminating in a complete service disruption [4][7][9][11]. Technical Analysis - The root cause of the incident was identified as a failure in the Service Discovery system, which is crucial for routing user requests to the appropriate servers [19][20]. - Approximately 10% of requests failed due to this issue, indicating that Bilibili had multiple instances of the Discovery service deployed, allowing some requests to still succeed [17][21]. - The 504 Gateway Timeout errors confirmed that while requests reached the gateway, the backend services were unresponsive, highlighting the dependency on the Discovery system [20][21]. Lessons Learned - The incident underscored the importance of infrastructure, particularly foundational services like Service Discovery, which, while invisible to users, can have a massive impact when they fail [26]. - The incident also demonstrated the necessity of high availability design, as the 5%-10% failure rate indicated effective disaster recovery mechanisms were in place [26]. - Monitoring and alerting systems proved valuable in quickly identifying the Discovery failure, showcasing the effectiveness of Bilibili's monitoring infrastructure [28].

Core Viewpoint - The TIOBE programming language ranking for June 2025 indicates a decline in SQL's popularity, dropping to 12th place, marking its historical low, while Python continues to dominate the rankings with a significant lead over other languages [2][20]. SQL's Historical Context - SQL reached its peak ranking at 6th place in October 2003 but was removed from the TIOBE index from 2004 to 2018 due to debates about its classification as a programming language [5]. - SQL was reintroduced to the rankings in 2018, benefiting from its stronghold in the database domain, and returned to the top ten [5]. SQL's Applications - SQL is integral to various sectors, including banking, e-commerce, healthcare, and education, where it manages vast amounts of structured data [7]. SQL Database Overview - A list of common SQL databases includes MySQL, PostgreSQL, SQLite, MariaDB, Oracle, SQL Server, and IBM Db2, with most being open-source [9]. Rise of NoSQL - The emergence of NoSQL databases poses a significant threat to SQL, as NoSQL is designed to handle unstructured data and offers greater flexibility, making it suitable for rapidly changing requirements [10][12]. - NoSQL databases, such as MongoDB and Redis, are increasingly favored for their ability to manage big data and high concurrency scenarios [13][16]. Programming Language Rankings - As of June 2025, the top programming languages are Python, C++, C, Java, C, JavaScript, Go, Visual Basic, Delphi/Object Pascal, and Fortran, with Python holding a commanding lead at 25.87% [20][22]. - SQL's ranking has dropped significantly, now positioned at 12th place, reflecting a shift in developer preferences towards more flexible programming languages [26]. Historical Trends - The TIOBE index tracks the popularity of programming languages based on various metrics, including search engine queries and community engagement, providing insights into industry trends [29].

Core Viewpoint - The article emphasizes that AI large models are not only replacing traditional CRUD development models but also reshaping the career paths of over 30 million programmers, leading to both technical anxiety and survival crises in the industry [1]. Group 1: Industry Trends - Major industries such as manufacturing, healthcare, and finance are accelerating the application of AI, with companies increasingly valuing talent that can leverage AI large model technologies to reconstruct business processes [1]. - Intel's recent announcement of laying off 20,000 employees highlights the shrinking of traditional roles, while AI-related technical positions are experiencing a surge in demand, offering salaries of up to 1 million annually for candidates with 3-5 years of experience [1]. Group 2: Educational Opportunities - The article promotes a free course titled "Large Model Application Development Practical Training Camp," aimed at equipping technical professionals with the principles and practical applications of AI large models [1][2]. - The course includes live sessions covering the career prospects of large model applications, typical business scenarios, and technical architectures, as well as hands-on experience with fine-tuning techniques [2][7]. Group 3: Practical Skills Development - Participants will learn to utilize technologies like RAG and fine-tuning to enhance the use of large language models, with a focus on real-world applications and project experience [7][17]. - The course promises to provide insights into the technical architecture of popular AI products and offers a structured approach to mastering AI tools and product development [17][20]. Group 4: Career Advancement - The program aims to help participants build a competitive edge in the job market, particularly for those looking to transition into AI application development roles [12][22]. - It also offers networking opportunities with industry leaders and potential job referrals, enhancing participants' chances of securing high-paying positions in the AI field [20][22].