Core Viewpoint - Requestly is presented as a versatile API client tool that combines HTTP interception, request modification, interface testing, and data simulation, claiming to be permanently free and fully open-source [4][6][12]. Features Overview - Requestly offers a comprehensive set of capabilities for developers, including collection management, multi-environment variables, complete request history, a visual interface, and collaboration features [7]. - Unlike many cloud-dependent tools, Requestly prioritizes local storage, allowing users to manage collections, switch environments, and run scripts similarly to Postman, while also providing real-time interception and modification of requests and responses like Charles [8]. - Advanced capabilities such as dynamic simulation, delay injection, and script control enhance API debugging and frontend development [9]. User Interface and Functionality - The interface features a three-column layout with a collection tree on the left, request parameters in the middle, and response data on the right, with all data stored locally in Git-tracked JSON files [14]. - Users can seamlessly switch between multiple environments (development, testing, production) using a dropdown menu, supporting both global and collection-level variables [16][17]. - The tool allows for easy creation of new requests or batch imports from formats like cURL, Postman collections, and OpenAPI [20]. HTTP Interception and Mocking - Requestly includes an HTTP interceptor that captures and modifies any HTTPS requests and responses, enabling real-time monitoring and editing [28]. - Users can create local or cloud-based mock APIs that support REST and GraphQL, allowing frontend developers to work without waiting for backend services [30].

Core Viewpoint - The rapid development of AI technology in the past three months has led to significant changes in usage statistics, with DeepSeek's usage declining to 3% due to slow iterations, while competitors like ChatGPT and Claude have seen substantial growth [2][3]. Group 1: DeepSeek's Performance - DeepSeek's web visits dropped from 614 million in February to 436 million in March, marking a 29% decrease [3]. - In contrast, ChatGPT's visits increased by 40.6%, from 3.905 billion to 5.492 billion, and Claude's visits rose by 36.5% to 100 million [3]. - The newly released DeepSeek-V3.1 emphasizes hybrid reasoning, improved tool invocation, and extended context capabilities [5]. Group 2: DeepSeek-V3.1 Features - DeepSeek-V3.1 is built on the previous version and includes enhancements such as a hybrid reasoning model and upgraded tokenizer/chat templates [5]. - The model utilizes UE8M0 FP8 Scale parameter precision, specifically tailored for upcoming domestic chip releases [8]. Group 3: Integration with Claude Code - DeepSeek has added support for Anthropic API formats, allowing integration of DeepSeek-V3.1 capabilities into Claude Code [12]. - Instructions for installing Claude Code and integrating it with DeepSeek are provided, including environment variable configurations [14]. Group 4: Practical Application - A demonstration of using DeepSeek with Claude Code to create a scientific calculator showcases the AI's ability to generate HTML, CSS, and JavaScript files automatically [19][20].

Core Viewpoint - The article discusses the rapid advancements in artificial intelligence (AI) technology and the legal challenges faced by Meta regarding copyright infringement related to adult films used for AI training [1][4]. Group 1: AI Development Stages - Early AI relied on limited data for simple tasks, such as chess strategies or recognizing handwritten digits [5]. - The internet provided vast amounts of data, allowing AI capabilities to grow significantly, exemplified by GPT-3's training on hundreds of gigabytes of text [5]. - Current AI can process diverse data types, including video and audio, enhancing its learning and application in various fields [5]. Group 2: Legal Issues Faced by Meta - Meta is being sued by two adult film companies for allegedly downloading and distributing 2,396 copyrighted films without permission for AI model training [4][7]. - The plaintiffs demand that Meta remove all infringing films from its AI training dataset and seek damages of up to $15,000 per film, totaling approximately $359 million [8][18]. - The lawsuit claims that Meta's actions are part of an industrialized toolchain designed for AI training, rather than isolated employee misconduct [12]. Group 3: Evidence and Allegations - The lawsuit alleges that Meta used virtual private clouds to disguise its activities, downloading and sharing films continuously [10][15]. - The plaintiffs assert that Meta's actions not only saved significant licensing fees but also circumvented mainstream platform protections against data scraping [15]. - The lawsuit calls for Meta to delete training weights, destroy model copies, and publicly audit its algorithms to prevent further copyright violations [16].

Core Viewpoint - The article emphasizes the importance of obtaining the Software Examination (软考) certification for IT professionals, highlighting its high recognition in the industry and the various benefits associated with it, especially in light of upcoming changes to the exam format that may increase difficulty [2][3][4]. Group 1: Benefits of the Software Examination - The Software Examination is considered a golden certification for IT professionals, with high recognition from enterprises and society, particularly for the "System Architecture Designer" and "Software Designer" certifications [2]. - Obtaining the certification can lead to significant career benefits, including higher starting salaries, enhanced job opportunities, and various policy benefits [5][6]. - The certification can exempt individuals from title evaluation in state-owned enterprises and public institutions, allowing for direct qualification for corresponding professional titles [4]. Group 2: Upcoming Changes and Urgency - The article warns that the Software Examination is becoming increasingly difficult, with significant changes expected in the exam format next year, making it crucial for candidates to obtain the certification this year [3][7]. - The last opportunity to register for the exam this year is approaching, with only three months left for preparation [3]. Group 3: Preparation Resources and Strategies - A free training program is being offered, which includes live classes, internal materials valued at 1599 yuan, and personalized guidance from experts [2][6]. - The training program is tailored for various IT roles, providing high-scoring techniques and access to the latest exam questions and core topics [3][6]. - The article highlights the importance of starting preparation immediately, as the exam content has evolved to include more advanced topics such as cloud computing and AI technologies [7]. Group 4: Financial and Career Incentives - Holding the Software Examination certificate can lead to additional benefits such as housing subsidies, living allowances, and other financial support, varying from 50,000 to 250,000 yuan depending on the region [7]. - The certification is increasingly recognized internationally, providing IT professionals with opportunities in various countries [7].

Core Viewpoint - The article highlights the remarkable journey and technical prowess of Cai Jingxian, also known as "Duolong," a legendary figure in Alibaba's history, emphasizing his contributions to the development of Taobao and his status as a revered technical expert within the company [2][3][4]. Group 1: Technical Expertise - Duolong is regarded as a unique talent at Alibaba, with unparalleled problem-solving abilities, often resolving issues that stumped entire teams [4][5]. - His technical contributions include the development and maintenance of Taobao's search engine, file systems, and various middleware, showcasing his capability to handle complex projects single-handedly [18][19]. - Duolong's approach to problem-solving involves deep dives into source code, demonstrating his passion for technology and commitment to finding solutions [4][21]. Group 2: Personal Background - Born in a rural family in Zhejiang Province, Duolong's early education was marked by a strong interest in mathematics and a fascination with computers, which laid the foundation for his future career [8][9]. - Despite not being formally trained in computer science, his curiosity and self-driven learning led him to excel in technology [7][8]. Group 3: Career Development - Duolong was one of the early programmers at Taobao, joining a secretive team tasked with developing the platform to compete with eBay [10][11]. - His commitment to coding and problem-solving earned him a reputation as a go-to person for technical challenges within the company [12][14]. Group 4: Recognition and Impact - Duolong's achievements led to his selection as an Alibaba partner, a prestigious position that reflects his influence and contributions to the company [25]. - His estimated wealth reached 2.6 billion RMB, highlighting the financial success that accompanied his technical expertise [26]. Group 5: Insights on Becoming a Technical Expert - Duolong emphasizes that becoming a top technical expert requires dedication, continuous learning, and a willingness to tackle challenges head-on [27]. - He advocates for the importance of problem-solving and refining one's skills through practice and experience [27][28].

Core Viewpoint - Lapce is a lightweight, open-source code editor developed in Rust, designed for high performance and efficiency, particularly in handling large files and complex operations [2][9]. Group 1: Features and Performance - Lapce utilizes a custom GUI framework called Floem for its interface, ensuring a modern and efficient user experience [2]. - The editor employs wgpu for rendering, which enhances graphical performance [3]. - It supports the Language Server Protocol (LSP), providing features like code completion, diagnostics, and code operations [12]. - Lapce includes a built-in terminal, allowing users to run commands directly within the editor, thereby improving development efficiency [12]. Group 2: Plugin System - Lapce has a plugin system that supports multiple programming languages, with plugins developed using WebAssembly for security and efficiency [5][12]. - Although Lapce offers plugins, its ecosystem is not as extensive as that of VS Code, which has a more mature plugin marketplace [8]. Group 3: User Experience - The interface of Lapce resembles that of VS Code, making it familiar for users transitioning from that platform [17]. - Users can customize settings such as font name and size through a settings menu [24]. - Themes can be installed and switched via the command panel, enhancing the visual customization of the editor [25]. Group 4: Availability and Installation - Lapce is available for Windows, Linux, and macOS, with pre-built versions accessible for download [13]. - It can also be installed using package managers like Homebrew, Scoop, and Pacman, or built from source [16].

Core Insights - The article discusses the rise of AI programming tools and how they have lowered the barrier to coding, making it easier to develop websites, apps, and small programs [1][2]. - It highlights the success of individual developers who identify small pain points in niche markets, demonstrating that even minor needs can lead to significant market opportunities [3]. - The case study of Stagetimer.io illustrates how a simple, user-focused tool can generate substantial income without heavy marketing or investment [4]. Group 1: Product Overview - Stagetimer.io is a browser-based countdown timer tool designed for various scenarios such as presentations and meetings, offering features like countdowns, color alerts, and message flashing [8]. - The tool also has desktop versions for Windows, Mac, and Linux, allowing offline use, which caters to users needing stability in no-internet environments [9]. Group 2: Development Journey - The developer, Lukas Hermann, identified a pain point during a friend's online summit rehearsal, leading to the rapid creation of Stagetimer.io over a weekend [13][14]. - The product was initially launched as a free tool for quick validation, with no login or payment required, allowing for immediate user feedback [15][20]. - Following positive feedback, a paid version was introduced in June 2021, which quickly gained subscribers, indicating a strong market demand [20][21]. Group 3: Technical Stack - The technology stack includes Vanilla JS and Tailwind for the front end, Firestore for real-time synchronization, and Firebase Auth for user authentication, ensuring a smooth user experience [25][26]. Group 4: Marketing Strategy - The developer relied on organic growth through user feedback and word-of-mouth rather than hiring marketing personnel, with significant traction gained from Reddit discussions [27][30]. - SEO strategies were employed, including a domain name that directly reflects the product's purpose, enhancing discoverability [30]. Group 5: Lessons Learned - The article emphasizes the importance of observing everyday needs to identify potential product opportunities, encouraging developers to adapt successful strategies to their unique contexts [35][36].

Core Viewpoint - The article emphasizes the importance of mastering AI large model capabilities for programmers to remain competitive in the job market, as companies are increasingly focusing on AI applications and those with relevant skills are seeing significant salary increases and job opportunities [2][3][20]. Group 1: AI Skills and Job Market - Programmers who understand AI large models are more valuable than those who only perform basic CRUD operations, with salary increases exceeding 50% for skilled individuals [3][20]. - Companies of all sizes are prioritizing the implementation of AI applications, making it essential for technical professionals to enhance their skills in this area [2][3]. - The article promotes an "AI Large Model - Employment Practical Camp" that offers training on technical principles, practical projects, and career planning to help individuals transition into high-paying roles [3][6][22]. Group 2: Course Offerings and Benefits - The course includes two live sessions focusing on technical principles, practical project replication, and career guidance, with a limited enrollment of 100 participants [6][16]. - Participants will receive a job-seeking package that includes internal referrals, interview materials, and knowledge graphs, aimed at enhancing their job prospects [8][18]. - The course will cover key steps in large model application development, including understanding core technologies, practical product development, and continuous learning [12][20]. Group 3: AI Technologies and Applications - The article discusses various AI technologies such as RAG (Retrieval-Augmented Generation) and Function Call, which enhance the capabilities of large language models [9][12]. - RAG is particularly useful in scenarios requiring constant knowledge updates, while Function Call allows for the execution of specific code blocks to improve task complexity [12][14]. - The article highlights the importance of practical experience in AI applications, encouraging participants to apply learned skills directly to their resumes [12][20].

Core Viewpoint - The TIOBE Index for August 2025 highlights that AI programming assistants have significantly boosted Python's popularity, achieving its highest ranking ever in the index [1][3]. Group 1: Python's Dominance - Python has reached a historical peak in the TIOBE Index, with a rating of 26.14%, far ahead of its competitors [18][23]. - The gap between Python and the second-ranked C++ is nearly 17%, indicating a substantial lead [17]. - The rise of AI tools like Microsoft Copilot and Google Gemini Code Assist has improved coding efficiency by approximately 20% when using popular programming languages [5][9]. Group 2: Competitors and Trends - The top six programming languages in the TIOBE Index are dominated by Python, C++, C, Java, C, and JavaScript, showcasing a "stronger gets stronger" phenomenon [9][22]. - Other languages such as Go, Perl, Delphi, and Fortran are engaged in a competitive struggle for rankings, with Perl making significant progress this year [10][23]. - Legacy languages like Visual Basic, SQL, and Ada continue to maintain relevance in specific domains, despite their declining popularity [14][13]. Group 3: Historical Context and Future Outlook - Python's historical ranking has improved significantly over the years, moving from 7th place in 2015 to 1st in 2025 [29]. - The article speculates on the potential for Python to dominate the programming landscape further if it overcomes its performance limitations [20][19]. - The TIOBE Index serves as a reflection of current trends in programming languages, influenced by the number of engineers, courses, and third-party vendors [30][31].

Core Viewpoint - OpenAI has launched the GPT-5 model, which is now available to both free and paid users, enhancing capabilities in reasoning, coding, and writing [1][3][6]. Group 1: Model Features - GPT-5 is an integrated model that automatically determines when to engage in deep thinking versus providing quick responses, eliminating the need for manual model switching [6][7]. - The model supports multi-modal inputs and outputs, including text, images, voice, and real-time video streams, allowing for interactive explanations and visualizations [7]. - It has achieved a SWE-Bench Verified score of 74.9%, generating over 200 lines of interactive code with audio elements in just a few minutes [7]. Group 2: Performance Metrics - GPT-5 has the highest Arena score to date, ranking first in text, web development, and visual fields, as well as in high-difficulty prompts, programming, mathematics, creativity, and long queries [20][21]. - The model's hallucination rate has significantly decreased to 4.8% overall, with a low of 1.6% in medical scenarios, thanks to the introduction of a universal validator for self-checking [7]. Group 3: Competitive Landscape - The rapid development of AI technologies is highlighted, with OpenAI's GPT-3.5 and GPT-4 models previously setting benchmarks in generative AI [14]. - Competitors like Google DeepMind's Genie 3 and Anthropic's Claude 4 have also made significant advancements, with Genie 3 capable of generating interactive 3D worlds in real-time [16][18]. - Elon Musk has noted that Grok 4 outperformed GPT-5 in specific evaluations, indicating a competitive landscape where multiple models are vying for superiority [22][24].