Reaching financial independence does not always settle the question of what comes next. Ryan called "The Ramsey Show" to ask whether leaving his corporate job after completing Baby Step 7, personal finance host Dave Ramsey's, debt-payoff and wealth-building plan, would bring freedom or turn into a costly mistake. The 44-year-old software developer from Salt Lake City said he and his wife have no debt and a net worth of about $1.6 million. Don't Miss: A Wide Gap Between Job And Side Hustle Ryan said he ...

作者 | Patrick Farry 译者 | 田橙 GitHub CEO Thomas Dohmke 近日发出了一则措辞严厉的警告："要么拥抱 AI，要么离开这个职业。"但所谓拥抱 AI，并不只是使用代码自动补全 工具那么简单。它意味着我们核心能力的一次转移——从对语法的熟练掌握，转向系统思维（Systems Thinking），学会把问题不断拆解，直到小 到可以交由 AI 去解决。一句话概括：我们现在都是架构师了。 我正在开发一个 IoT 应用，整体由设备端固件、后端系统以及 Web UI 组成。尽管我本身具备软件工程背景，但在这个项目中，我一直在使用 Claude Code 来提升开发效率，并帮助我应对一些并不十分熟悉的语言和框架。我的技术栈包括：设备端使用 Python + PyTorch，前端采用 React + TypeScript，后端则由 MQTT + Node.js + Postgres 构成。起初，与 Claude 的协作并不顺利。我的请求经常会引发对整个代码库的大规模改 动。随着我逐渐学会如何更合理地组织代码结构、并对提示词进行调整和约束，情况开始好转。现在，我已经可以在不进行逐行代码审 ...

Core Insights - The article discusses the launch of CodePilot, a desktop client for Claude Code, highlighting its comprehensive features and user-friendly design [1][3]. Group 1: Key Features of CodePilot - CodePilot supports all core functionalities of Claude Code, including folder selection, model switching, slash commands, Skills invocation, and MCP server integration, providing a significantly improved user experience [3]. - The client offers enhanced chat history management, allowing users to easily access previous conversations, with each message displaying the associated cost for transparency [5][6]. - A visual configuration management interface has been introduced, enabling users to modify configuration files, Skills, MCP, and plugins without needing command line interaction [8]. - Users can preview the contents of folders directly within the application, making it easier to access text files and other resources [9]. - Third-party API configurations are supported, allowing flexibility for users who may not have direct access to the official API [11]. - The connection status of Claude Code is clearly displayed, providing guidance for users in case of connectivity issues [13][14]. Group 2: Agent Teams Collaboration - The article introduces the Agent Teams mode, which allows a main intelligent agent to delegate tasks to multiple sub-agents, enabling parallel work and real-time communication between agents [19][20]. - Enabling Agent Teams is straightforward, requiring users to update to the latest version of Claude Code and follow simple instructions to configure it [21]. - Tips for utilizing Agent Teams include having Claude assist in writing planning prompts, emphasizing the importance of preliminary research for role definition, and advocating for flexible role design tailored to specific tasks [23][25][27]. - The article emphasizes that the current era allows for rapid development of fully functional applications, with the use of Opus 4.6 proving to be cost-effective due to its efficiency and reduced need for corrections [30][31].

从随手发推的「氛围组」到掌控全局的「工程师」，Karpathy 用一年时间告诉我们：AI编程不再是玩具，不懂架构的人终将沦为看客，而能驾驭智能体 的人正在重塑规则。 再见，Vibe Coding！ 你好，Agentic Engineering！ 距离那个「靠直觉写代码」的狂欢时代才过去一年，Andrej Karpathy就亲自按下了升级键。 这一次，不再是「氛围」，而是残酷而精密的「工程」。 就在昨天，Andrej Karpathy交出了新的思考答卷—— 「智能体工程」（Agentic Engineering）。 一个意外的「爆款」 回看那一刻，Karpathy坦言自己也觉得不可思议： 我的Twitter账号已经用了17年了，但说实话，我基本上还是完全摸不透推文互动的规律。 而一年后的今天，利用LLM Agent编程已成为专业人士的「默认设置」。只不过，监督和审查要更多了些。 为了将这种更严谨、更注重质量的模式与之前的「氛围流」区分开，Karpathy又提出了一个新的概念——「智能体工程」（Agentic Engineering）。 所谓「智能体」，是因为你99%的时间不再直接写代码，而是在指挥智能体干活，充 ...

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Core Viewpoint - The stock price of Tonghuashun has experienced fluctuations, with a recent decline of 2.08% on February 5, 2025, while the company shows a year-to-date increase of 9.26% [1][2]. Group 1: Stock Performance - As of February 5, 2025, Tonghuashun's stock price is reported at 352.01 yuan per share, with a trading volume of 1.368 billion yuan and a turnover rate of 1.23%, leading to a total market capitalization of 189.241 billion yuan [1]. - Year-to-date, the stock has increased by 9.26%, with a decline of 1.59% over the last five trading days, a rise of 1.35% over the last 20 days, and an increase of 1.53% over the last 60 days [2]. Group 2: Company Overview - Tonghuashun, established on August 24, 2001, and listed on December 25, 2009, is based in Hangzhou, Zhejiang Province. The company provides software products, system maintenance services, financial data services, and investment analysis tools for individual investors [2]. - The revenue composition of Tonghuashun includes 48.33% from value-added telecommunications services, 36.01% from advertising and internet promotion services, 9.43% from fund sales and other businesses, and 6.22% from software sales and maintenance [2]. Group 3: Financial Performance - For the period from January to September 2025, Tonghuashun achieved a revenue of 3.261 billion yuan, representing a year-on-year growth of 39.67%. The net profit attributable to shareholders reached 1.206 billion yuan, marking an increase of 85.29% year-on-year [2]. - Since its A-share listing, Tonghuashun has distributed a total of 7.991 billion yuan in dividends, with 4.193 billion yuan distributed over the past three years [3]. Group 4: Shareholder Information - As of September 30, 2025, the number of shareholders for Tonghuashun is reported at 82,600, a decrease of 4.81% from the previous period, with an average of 3,336 circulating shares per person, an increase of 5.05% [2]. - The second-largest circulating shareholder is Hong Kong Central Clearing Limited, holding 14.6293 million shares, an increase of 2.3322 million shares from the previous period [3].

还在Xcode里当「手搓侠」？苹果这次直接把Codex+Claude塞进IDE，堪称给开发者发了两把「外挂神剑」。苹果开发者终于「吃上好的了」！ 就在刚刚，苹果发布了Xcode 26.3的重磅更新！ 这一次，不再是无关痛痒的修修补补，而是直接把「核武器」搬进了IDE—— Codex和Claude正式入驻Xcode！ 这意味着什么？ 意味着你再也不用在写代码和ChatGPT网页之间疯狂Cmd+Tab切换了。 苹果这一次，是真的把AI的「灵魂」注入了开发者的指尖。 左手OpenAI，右手Claude，这谁顶得住？ 手快的网友们已经开始体验了。 下面是Xcode 26.3的启动画面 Xcode 26.3引入了三个新的框架，全是和IDEIntelligence相关，第一个就是Agent。 赶快去更新吧！ 不过App Store里还没有最新的26.3，目前还是26.2，估计还需要等待几天。 | | Xcode Developer Tools | | | | | | --- | --- | --- | --- | --- | --- | | | Open | | | | | | 14K RATINGS | AGES | ...

Core Insights - The article discusses the rapid rise of OpenClaw, a personal AI assistant project developed by Peter Steinberger, which gained significant traction in the developer community within a short period [3][8][10] - The project has undergone several name changes, initially starting as WhatsApp Relay, then Clawdbot, and finally settling on OpenClaw after facing legal challenges [5][10] - Steinberger's development approach leverages AI tools, allowing him to code at a pace comparable to a full team, raising questions about the future of software development and the role of AI in it [11][12] Group 1 - OpenClaw quickly became popular, achieving 100,000 stars on GitHub and 22,000 forks, surpassing established projects like Linux kernel, Vue, and React [1][3] - The project was primarily developed by a single individual, Peter Steinberger, who previously created PSPDFKit, a widely used PDF development tool [8][9] - Steinberger returned to development after a three-year hiatus, utilizing advanced AI models to enhance his coding efficiency, submitting over 600 code changes in January alone [10][12] Group 2 - The article features an interview with Steinberger, where he shares insights on his coding practices and the impact of AI on software engineering [11] - He emphasizes that traditional code review processes are outdated, suggesting that pull requests should be viewed as "prompt requests" in the context of AI-assisted development [12] - Steinberger's experience highlights a shift in software development dynamics, where AI tools enable developers to focus more on architecture and less on mundane coding tasks [56][62] Group 3 - The article outlines Steinberger's journey from creating PSPDFKit to developing OpenClaw, detailing his early experiences with programming and the evolution of his career [19][30] - It discusses the challenges he faced while transitioning from a traditional coding environment to one enhanced by AI, noting the importance of understanding AI's capabilities and limitations [75][78] - Steinberger's perspective on the future of coding suggests a blend of human creativity and AI efficiency, where developers can leverage AI to streamline processes and enhance productivity [62][68]

在硅谷，程序员曾经是最不需要为生计发愁的一群人——但对 Roman 来说，这个时代已经结束了。 Roman 的油管 ID 叫"旧金山的程序员"。过去十多年，他一直生活、工作在旧金山，是一名标准意义上的资深程序员：写过多种编程语言、在硅谷大厂待 过、GitHub 上有多个千星仓库、有技术积累，也有体面的履历。 他原本以为，哪怕行业放缓，至少"体面地活着"不该是个问题。但现实给了他完全相反的答案。 半年 200 多场面试，工作却"消失了" 对 Roman 来说，过去大半年的求职经历，堪称一场无休止的噩梦。他直言： "说实话，情况已经很明显了：在旧金山、在湾区，乃至整个美国，程序员的工作基本已经'没了'。" 从 2025 年下半年开始，Roman 为了找到一份靠谱的工作，马不停蹄跑遍各大公司，前前后后参加了 200–300 场面试，涵盖 Python、Java、系统设计、算 法题。最极端的一周，他连续参加了 13 场面试。 然而，即便他在面试中能一路通关到最后，得到的却永远是五花八门的拒绝理由："不好意思，我们暂不录用"，"技术通过了，但我们现在不招人"。 在这种环境下，"继续死等一份 IT 工作"在 Roman ...

Core Insights - Apple has officially released Xcode 26.3, integrating AI capabilities through Claude Agent from Anthropic and Codex from OpenAI, marking a significant shift in its development environment [1][2][4] - The introduction of "Agentic Coding" allows developers to use natural language commands for various tasks, enhancing productivity and efficiency [4][5] - Despite the powerful features, user feedback is mixed, with some praising the integration while others report issues such as system hangs and poor code comparison [9][10] Group 1: AI Integration in Xcode - Xcode 26.3 introduces predictive code completion and allows AI agents to perform complex tasks autonomously, such as creating files and debugging [4][5] - The integration aims to enhance the development experience by providing seamless access to advanced AI models [7] - Apple's collaboration with OpenAI and Anthropic reflects a strategic move to catch up with competitors like Microsoft, which has already integrated AI into its development tools [10][11] Group 2: Market Position and Developer Ecosystem - The rise of AI-centric coding tools like Cursor and Windsurf has prompted Apple to adapt its IDE to avoid losing developer interest [10][11] - The trend indicates a shift from plugin-based AI capabilities to native integration within productivity software, suggesting a closing window for independent AI tools [11] - The evolving landscape may challenge developers to adapt their skills while also providing opportunities for innovation and efficiency in coding practices [11][12]