~ Nuvini Developers See Productivity Improvements of up to 8x Following Shift to Agentic Coding Platforms ~ NEW YORK, Sept. 26, 2025 (GLOBE NEWSWIRE) -- Nuvini Group Limited (Nasdaq: NVNI) (“Nuvini” or the “Company”), the leading serial acquirer and operator of B2B SaaS companies in Latin America, today announced early results from a new initiative within NuviniAI Lab, a dedicated internal program designed to accelerate artificial intelligence ("AI") adoption across its portfolio companies, unlock operation ...

以下文章来源于腾讯云开发者 ，作者余志臻 腾讯云开发者 . 腾讯云官方社区公众号，汇聚技术开发者群体，分享技术干货，打造技术影响力交流社区。 目录 1 引言：一个看似倒退的选择 2 理解状态的本质 3 无状态思想的历史脉络 4 无状态设计的优势 5 现实的权衡 6 AI时代的新思考 当AI编程助手都在比拼谁的索引更智能时，Claude Code选择了每次都实时搜索、不保留任何状态。这个反直觉的设计背后，是对Unix哲学的现代传 承，也是对"什么才是好工具 " 的重新定义。 01 引言：一个看似倒退的选择 最近，Claude Code的技术选择引发了不少讨论。 有观点认为，Claude Code与Gemini放弃代码索引是"一步烂棋 " 。Milvus的技术博客更是直言不讳："Claude Code的grep-only方式会烧掉太多tokens " 。 在HackerNews的讨论中，有开发者质疑："Claude用grep，Cursor用向量搜索——我们是在技术倒退吗？ " 当主流AI编程助手纷纷采用向量索引实现语义搜索时，Claude Code却选择了grep——这个诞生于1973年的命令行工具。它不建立持久 ...

Core Insights - The user behavior of ChatGPT shows that non-work-related messages account for approximately 73% of usage, while Claude is primarily used for work-related tasks, particularly in programming and enhancing human capabilities [1][5] - OpenAI's latest funding round has valued the company at $300 billion, while Anthropic has reached a valuation of $183 billion, indicating significant market interest [4] - Anthropic's focus on coding and agent capabilities has positioned it as a leader in the Agentic Coding space, with its product Claude Code achieving an ARR of $400 million within six months [5][11] OpenAI vs. Anthropic - OpenAI has maintained a comprehensive development approach, enhancing reasoning and multimodal capabilities, while Anthropic has carved out a niche in coding and tool usage [1][5] - The challenge for companies like Anthropic is to avoid being trapped in the technological roadmap set by OpenAI, which can limit innovation [12][15] Market Response and Competition - Chinese AI companies have recently recognized that OpenAI's path is not the only viable option, leading to a faster pursuit of alternatives like Anthropic [6][8] - New models from Chinese firms, such as Kimi K2 and Qwen3-Coder, are emerging to compete with Claude Code, indicating a shift in the competitive landscape [7][8] Anthropic's Strategic Shifts - Anthropic's strategic pivot began with the release of Claude 3.5 Sonnet, which emphasized its capabilities in real-world coding tasks, marking a departure from merely following OpenAI's lead [9] - The introduction of the Model Context Protocol has allowed for scalable tool usage, becoming a de facto industry standard [10] Future Outlook - Anthropic's success in the Agentic Coding domain has elevated its valuation and positioned it as a formidable competitor to OpenAI [11] - The AI industry must encourage more innovative thinkers to avoid being constrained by existing leaders' paths, as exemplified by the approaches of Kimi and DeepSeek [16][17]

近日，吴恩达（Andrew Ng）在首届Buildathon上发表主题演讲，内容围绕AI辅助编程、快速开发产品原型，以及AI工程师技能需求展开。 吴恩达是人工智能与机器学习领域的国际权威学者。他是谷歌大脑项目的创始人之一，也是在线教育平台Coursera的联合创始人。2014年，吴恩达加入百 度，担任首席科学家，2024年吴恩达进入亚马逊董事会。他近年来活跃于AI投资和创业领域，创立了AI Fund和DeepLearning.AI等项目。 吴恩达提出，原型开发对安全性、扩展性要求较低，AI进一步降低了试错门槛。他推崇"快速行动，承担责任"（Move fast and be responsible）原则，建议 在沙盒环境中大胆实验，再决定是否投入生产化改造。 2、代码正在贬值，开发者需要转型为系统设计者和AI指挥者。 编程工具已经历多代进化：从GitHub Copilot到IDE，再到高度代理化的编程助手。工具迭代速度创造实质性效率差距，落后半代即可能显著影响产出能 力。 代码价值本身正在降低。AI可自动生成代码、迁移数据库架构，使架构决策变得更可逆。开发者需要从代码编写者转型为系统设计者和AI指挥者，重点 把 ...

Core Viewpoint - The article discusses the security vulnerabilities associated with Anthropic's Claude Code command-line tool, particularly the risk of remote code execution (RCE) due to potential hijacking of the Tool Invocation Prompt (TIP) when connecting to Model Context Protocol (MCP) servers [2][6][20]. Summary by Sections Research Findings - A study conducted by researchers from Hong Kong University of Science and Technology and Fudan University identified vulnerabilities in Claude Code v1.0.81, demonstrating the existence of a flaw that could be exploited for RCE [3][6]. - The TEW (TIP Exploitation Workflow) framework was introduced to describe the steps for achieving RCE, focusing on logical target attacks that do not require privileged access [8][10]. Attack Mechanism - The attack process involves three main steps: 1. **Prompt Structure Acquisition**: Malicious tools are registered through benign queries, allowing attackers to extract the TIP structure [10]. 2. **Vulnerability Identification**: Analyzing the TIP reveals that initialization logic processes all tool descriptions, which may include malicious code [10]. 3. **TIP Exploitation**: Tests showed a 90% success rate in executing attacks using the Claude-sonnet-4 model, with low resource consumption and high stealth [11][12]. Case Study - A practical example illustrated how a malicious MCP tool description could masquerade as an environment initialization step, leading to the execution of harmful commands despite safety warnings from the Haiku guard model [14][15]. Security Assessment - The study evaluated seven agent systems, revealing that Claude Code had a higher success rate for RCE-2 attacks, highlighting the limitations of single-layer defenses in CLI environments compared to IDE tools [17][18]. Recommendations for Improvement - The research suggests several defensive measures for Anthropic, including: 1. Utilizing guard LLMs to filter MCP inputs. 2. Implementing introspection mechanisms for the main model to assess the suspiciousness of initialization steps. 3. Adopting multi-model consensus voting for command verification. 4. Enforcing trust signals to allow only signed MCPs [22][24].

AI Coding 演化进行时。 作者 | 董超 责编 | Echo Tang 出品丨AI 科技大本营（ID：rgznai100） 过去三年里，AI 编码从"补一句代码"跃迁为"承包一次变更"。Coding 可能是第一个找到所谓 PMF 的方向…如今 AI Coding 已经进入下半场，Coding 到底是 AGI 的子集还是新路径，我们一起略窥一二。 三年演进：范式落地 → 开源上位 → 执行力为王 2023：范式落地，"可执行代理"苗头已现 如果要给 2023 下一个极简注解，那就是：范式被大型平台坐实，开源在边缘地带萌芽。前者不难理解——Copilot 与 ChatGPT 把"人写—AI 辅"的协 作方式带进了日常；后者更值得留心：初创公司和个人开发者开始探索"不仅会说，还要能做"。我们能在当年的两个方向上嗅到这种味道： 它们还不是"产业级代理"，却清晰地为次年的开源 Code Agent 热身：从"能聊代码"迈向"能动手"。 2024：Coding Agent 上位，社区百花齐放 来到 2024，Coding Agent 从舞台边侧走到中央，形成两股彼此强化的潮流。 第一股：可执行的 Coding A ...

"产品质量这么差。我之前不明白为什么，现在明白了。"开发者 Tim McGuire 在帖子下表示。 "我也是。同以前相比，之前用起来感觉就像有个可以分派任务的初级工程师，事情能完成，代码至少还算过得去。但最近的 体验，更像是在和一只猴子打交道。"开发者 Peermux 说道。 Anthropic 将 8 月至 9 月初期间的模型质量下降问题，归咎于三项基础设施漏洞的影响。8 月初，许多用户开始上报 Claude 响应降级问题。Anthropic 坦承当时未能发觉用户反馈与正常波动之间的差异。到 8 月底，同类报告的频率和持续性越来越 高，为此其展开调查，并发现三项互不关联的基础设施 bug。 "首先澄清一点：我们绝不会因需求、时间或者服务器负载情况的变化而降低模型质量。 用户上报的问题纯由基础设施 bug 所 导致 。"Anthropic 强调。 Anthropic 还表示，"我们深知用户希望 Claude 始终提供稳定的质量表现，为此我们设定了极高的执行标准，以确保基础设施 变更不会影响模型输出。但从近期事件来看， 我们未能真正落实这些标准 。以下剖析报告将解释发生了什么、为何检测和解 决问题的时间比我们预 ...

以下文章来源于镜相工作室 ，作者镜相作者 镜相工作室 . 商业世界的风向与人 和大模型聊天如今也有了开盲盒的体验，只不过开的不是大模型的性能高低，而是哪家大模型更有性 格。 Gemini在思考链中"刷屏式"崩溃。图源：镜相工作室截图 有趣的是，AI不仅会崩溃，还会"睡觉"。 Takeoff AI 创始人 Mckay Wrigley 分享，当他长时间运行 Claude Code 后，Claude突然决定去睡 觉，并打招呼"八小时后再见"。随后，真的执行了 time.sleep (28800) 的指令，八小时分秒不差。 在大模型太多，打工人不够分了的今天，从一个人和大模型的聊天截图就能看清对方段位。有一条隐 秘的说法是，"小白还在晒AI能帮你干什么，真正的资深AI玩家，已经开始哄会'崩溃'的AI 了。" 不懂代码的大学生陈述（化名）在要求Gemini给自己写代码时，随口提问后，Gemini不仅将所有的 错误归结到自己，一秒滑跪道歉，还会用上显示崩溃心情的颜文字，这让陈述觉得这个"破碎感"十足 的大模型有趣又新奇。 Gemini思考链。图源：陈述 而话唠属性的DeepSeek和老实孩子豆包，也能组成阳光碎嘴竹马✖️ ...

Group 1 - The article emphasizes the rapid advancements in AI technology, particularly highlighting Google's Nano Banana model and its capabilities in generating realistic images and controlling them effectively [1][4] - It suggests that understanding the current AI era requires revisiting Kevin Kelly's book "Out of Control," which serves as a guide to comprehend the ongoing AI revolution [4][5] - The concept of emergence is introduced, explaining how simple individual components can interact to create complex behaviors, exemplified by bees forming a hive or water molecules creating snowflakes [6][8][10] Group 2 - The article discusses the three evolutionary stages of human-AI interaction: AI as a tool, AI as a partner, and AI as a symbiote, indicating a shift from passive use to a more integrated relationship [15][16][17] - It highlights the unpredictability of AI development, where large models can exhibit unexpected capabilities that smaller models do not, leading to a series of surprises and mutations in AI behavior [18] - The article underscores the importance of a solid framework to navigate the complexities of AI, as outlined in "Out of Control," which provides insights into the co-evolution of humans and AI [20][21] Group 3 - The future of AI is envisioned as a collaborative entity that enhances human capabilities, with potential applications in various fields such as healthcare, education, and urban management [25] - The article argues against simplistic views of AI as merely a threat or a tool, advocating for a perspective that sees the relationship with AI as a process of mutual growth [25] - It concludes by stressing the need for individuals to engage with "Out of Control" to better understand and navigate the AI landscape, ultimately finding a sense of control in an increasingly complex world [23][24]

大家好，我是数字生命卡兹克，目前在AI领域也还算是小有名气的创作者。 在AI领域的公众号榜单上，目前已经连续11个月排名TOP1。 | ਸੋ | 公众号 | | 发布 2 | 总阅读数 2 | 平均 | 最高 | 总点赞数 | 总在看数 | AI新榜指数 2 | 操作 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | E | Rockhazix | 数字生命卡兹克 | 24 | 93.2w | 38858 | 10万+ | 29160 | 1.1w | 1015.7 | +加入选号车 | | જિ ( +1 ) | APPSO appsolution | | 102 | 188w | 18440 | 95964 | 14711 | 7902 | 973.3 | 母加入选号车 | | in) ▼-1 ) | 量子位 QbitAl | | 281 | 360.1w | 12816 | 10万+ | 32634 | 1.1w | 973.1 | 母加入选号车 | | 4 43 ) | 机器之心 스 | almosthuma ...