开发者为解决在编程时分享更新需要切换浏览器导致的分心问题，创建了VS Code扩展X Writer。该扩展允许用户直接在VS Code中发布推文，无需离开编辑环境。X Writer采用BYOK(自带密钥)模式，使用用户的API凭证，并通过vscode.SecretStorage安全存储密钥，确保隐私安全。为遵守免费API层的限制(17条推文/24小时)，扩展实现了本地计数器功能。设计上采用只写模式，不读取用户时间线，帮助开发者保持专注。作为开源项目，X Writer是作者的首个VS Code扩展，欢迎社区反馈代码结构。该扩展解决了开发者在分享编程更新时的效率问题，是提升编程生产力的实用工具。
原文链接：Hacker News
This article delves into AI programming tool choices beyond Cursor and Copilot, analyzing the subscription costs and performance differences between Gemini Pro, ChatGPT, and GitHub Copilot. For lightweight users, Copilot is recommended as the most cost-effective option, requiring only a $10 monthly fee to meet daily development needs. The discussion covers regional restrictions and solutions, such as proxy settings, and mentions free domestic tools as alternatives. The content provides technical depth and industry insights to help developers select the appropriate AI programming assistant based on actual usage scenarios and budget, optimizing development efficiency.
Original Link:V2EX Share & Discover
This article shares a high-performance PC build in the 10,000 yuan range, specifically designed for development, video editing, and large model operation needs. The configuration features Intel's latest Core Ultra 7 265K processor, paired with an ASUS B860M motherboard and Colorful RTX 5060 Ti 16GB graphics card, equipped with 32GB of high-speed DDR5 memory and a 1TB PCIe 4.0 SSD, with a total budget of approximately 10,892 yuan. The author pays special attention to cooling performance, selecting the Thermalright PS120 EVO dual-tower heatsink and a six-mesh-panel case. This build balances development efficiency and professional video editing requirements while also providing capacity for large model operation. For professional users needing a balance between work and entertainment, this configuration offers a high-value reference solution. The article also includes JD.com pricing information for each component, making budget planning easier.
Original Link:V2EX Share & Discover
This AI video tool leverages Gemini/Qwen large model technology to provide a comprehensive video solution for content creators. Its core features include: automatically analyzing movie/video content to generate commentary scripts and voiceovers, accurately transcribing multilingual videos and creating bilingual subtitles, and an exclusive 'anti-hallucination' technology that solves AI subtitle timestamp errors. The tool supports personalized voiceover character selection and subtitle burning, can be deployed locally on Windows and macOS systems, and significantly improves video production efficiency without subscription fees. It's specially optimized for macOS with lightning-fast editing speeds. This tool lowers the barrier to creating high-quality video content, allowing ordinary users to easily produce professional-level commentary videos, representing an innovative application of AI technology in the content creation field.
Original Link:V2EX Share & Discover
Based on experience from Huawei and Tencent, the author launched the "Build 100 AI Products in 1 Year" challenge, introducing the "Tab Hive" browser enhancement tool. This tool leverages AI technology to automate web operations, solving repetitive tasks in browsers. Core features include multi-site simultaneous display, multi-account session and proxy isolation, and visual workflow orchestration. Users can configure nodes to extract data and execute actions, enabling scenarios like e-commerce price monitoring, bulk form filling, and synchronized multi-account operations. The execution engine provides real-time logs and debugging experience, while AI planning supports natural language workflow generation and intelligent element recognition, significantly improving office productivity. The author continues to iterate, prioritizing high-frequency pain points to create practical AI efficiency tools.
Original Link:V2EX Share & Discover
The new iOS mind mapping note-taking app MindNote has officially launched on the App Store, offering users an efficient knowledge management tool. The app is developed natively in Swift, ensuring excellent performance and smooth operation. It supports rich node types including text styles, text block nodes, to-do list nodes, image nodes, hyperlink nodes, and table nodes to meet various note-taking needs in different scenarios. The user-friendly interaction design allows users to click the vertical line on nodes with sub-nodes to enter the detail page, and click the circle on nodes without sub-nodes to enter the detail page. Data security is maintained through local storage. Currently, the app's in-app purchases are available for free for a limited time, planned to last 7 days. Users can download the app by searching 'MindNote Mind Mapping Notes' on the App Store. This tool is especially suitable for students, professionals, and creative workers for mind mapping, note organization, and project planning to improve work efficiency. The native Swift development ensures the app's stability and response speed, making it a note-taking app worth trying on the iOS platform.
Original Link:V2EX Share & Discover
Anthropic has officially released the Claude Agent Skills open standard, marking a significant milestone in the AI agent technology sector. This open standard aims to provide developers with a unified technical framework, enabling AI assistants to more flexibly integrate various skills and services. The launch of the Claude Agent Skills open standard will help streamline the AI application development process, enhancing the intelligence level and practicality of agent systems. This standard is not only of great importance to the AI developer community but will also promote the implementation of AI assistants in more real-world scenarios. Industry experts believe this move will further accelerate the development of AI agent technology and bring new innovation opportunities to the entire industry. Through this open standard, Claude is poised to build a more open and collaborative AI ecosystem, delivering smarter and more personalized AI experiences to users.
Original Link:Linux.do
最新评论
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