Claude Code上线内置浏览器可直接操作外部网站

亿邦AI 2026-07-13 15:36

亿邦AI 2026/07/13 15:36

邦小白快读

全文速览

本次Anthropic于2026年7月12日为旗下编码工具Claude Code推出内置浏览器新功能，给用户带来了更流畅的使用体验，核心干货如下：

1. 核心功能：可直接在Claude Code应用内打开读取网页内容，完成点击、输入等操作，适配文档站点、问题追踪器等编码常用场景，采用标签页设计，支持快捷键唤起，运行逻辑沿用现有工具，上手成本低。

2. 安全保障：新增多层安全校验机制，所有针对外部站点的写入操作都会经过分类筛查，未经用户同意不会执行购物、创建账号等敏感操作，浏览器不保存任何用户账号凭证，不会泄露个人信息。

3. 个性化方案：如果用户有在自身已登录会话中使用Claude操作的需求，可以安装对应Chrome扩展程序实现功能，满足不同使用场景的需求

本次Claude Code上线内置浏览器的产品升级，为AI品牌的产品研发、品牌信任打造提供了参考案例，核心干货如下：

1. 产品研发方向：围绕用户核心使用场景痛点做功能升级，解决用户使用编码工具时需要频繁切换外部网页的问题，覆盖编码常用的文档站点、问题追踪等场景，有效优化用户体验。

2. 安全设计匹配品牌定位：Anthropic主打AI安全与伦理对齐，本次功能新增多层安全校验、敏感操作用户授权、不保存用户信息、支持企业自定义权限等设计，强化了品牌“安全”的核心定位，能提升用户信任。

3. 用户分层运营：针对普通用户和有特殊需求的用户，分别提供内置功能和扩展方案，覆盖不同用户群体的需求，提升产品的适配性

本次Claude Code的功能升级，能给卖家使用AI工具提升运营效率提供帮助，也给关注AI赛道的卖家带来机会提示，核心干货如下：

1. 工具使用利好：卖家可以直接在Claude Code内访问行业数据站点、货源网站、运营分析页面等，不需要切换多个工具，能有效提升选品、运营等工作的效率，而且安全机制完善，不用担心账号信息泄露。

2. 赛道机会提示：当前AI生产力工具正在不断拓展能力边界，围绕AI工具生态开发配套辅助插件、扩展程序是值得关注的创业方向，本次案例中Chrome扩展的补充方案也印证了这一点。

3. 风险提示：企业卖家可以通过白名单限制访问权限，也可以禁用整个工具，方便管控内部信息安全，使用AI操作敏感业务时一定要做好授权确认，避免误操作

本次Claude Code的功能升级，给工厂推进数字化转型、引入AI工具提供了不少启示，核心干货如下：

1. 数字化工具开发启示：工厂打造自身数字化管理系统、引入AI工具时，可以参考本次升级思路，围绕核心生产、设计场景整合常用的外部能力，减少员工切换系统的成本，提升工具的使用率和员工接受度。

2. AI工具安全管控参考：工厂引入AI工具涉及生产数据、供应链信息等敏感内容，需要参考本次方案搭建多层安全校验机制，支持企业自定义访问权限，避免敏感信息泄露，满足工厂的信息安全需求。

3. 效率提升机会：随着AI工具能力不断完善，未来会出现更多适配工厂产品设计、生产管理场景的功能，工厂可以提前关注AI工具的发展，借助AI提升运营效率，降低设计生产的成本

本次功能升级反映了AI工具行业的发展趋势和客户痛点，给服务商开展相关业务提供了参考，核心干货如下：

1. 行业发展趋势：当前大模型驱动的生产力工具，正在从单一的内容生成能力向集成化方向发展，将用户常用的外部操作能力原生内置到工具中，是符合用户需求的产品升级方向，AI工具的应用边界正在不断拓展。

2. 客户核心痛点：用户使用AI工具时频繁跨应用切换的痛点已经得到行业重视，同时企业客户对AI工具的信息安全、访问权限管控有明确的刚性需求，需要灵活可配置的安全方案。

3. 解决方案参考：服务商为客户提供AI相关服务时，可以参考本次方案，在集成功能提升用户体验的同时，配套多层安全校验、权限自定义、扩展补充方案，兼顾体验与安全，满足不同类型客户的需求

本次Claude Code内置浏览器上线，为AI工具平台的功能建设、运营管理提供了参考，核心干货如下：

1. 平台功能升级方向：AI工具平台需要围绕用户核心使用场景，整合原生能力，解决用户频繁跨平台切换的痛点，提升用户使用体验和留存，内置外部访问能力就是符合用户需求的升级方向。

2. 平台安全运营参考：平台需要搭建完善的安全机制，对敏感操作做分类筛查，需要用户授权才可执行，同时不留存用户敏感信息，还要给企业客户提供白名单管控、功能禁用等自定义权限，满足企业的合规安全需求。

3. 平台生态建设参考：针对用户的个性化特殊需求，平台不需要完全自研所有功能，可以通过和外部扩展工具合作的方式满足需求，降低平台的开发成本，同时丰富平台的能力覆盖

本次Claude Code新增内置浏览器功能，是大模型产业发展中的新动向，给AI产业研究提供了新的案例，核心干货如下：

1. 产业新动向：当前大语言模型产品正在从单纯的内容生成向具备实际操作能力的方向进化，逐步打通和外部互联网生态的连接，不断拓展大模型的应用边界，生产力工具是大模型落地的重要方向。

2. AI安全研究案例：Anthropic作为主打AI安全与伦理对齐的代表企业，本次落地了多层安全校验、用户授权、不保存敏感信息、企业权限管控等可落地的安全方案，为研究AI安全伦理对齐的落地提供了实际案例。

3. 商业模式研究参考：AI生产力工具可以通过持续的功能迭代提升用户价值，采用基础内置功能+外部扩展补充的组合模式，覆盖不同层级用户的需求，这种模式对研究AI产品的商业化有参考价值

返回默认

声明：快读内容全程由AI生成，请注意甄别信息。如您发现问题，请发送邮件至 run@ebrun.com 。

我是品牌商卖家工厂服务商平台商研究者帮我再读一遍。

Quick Summary

On July 12, 2026, Anthropic rolled out a new built-in browser feature for its coding tool Claude Code, delivering a smoother user experience. Key details are as follows:

1. Core functionality: The feature allows users to directly open and access web content within the Claude Code app, and complete interactions including clicks and text input. It is tailored for common coding scenarios such as documentation sites and issue trackers, features a tab-based design, supports shortcut activation, and retains the existing tool logic to keep the learning curve low.

2. Security guarantees: A multi-layered security check mechanism has been added. All write operations targeting external sites go through categorized screening, and sensitive actions such as making purchases or creating new accounts will not be executed without explicit user consent. The browser does not store any user account credentials, eliminating risks of personal information leakage.

3. Personalized support: Users who need Claude to operate within their own logged-in sessions can install a dedicated Chrome extension to enable the functionality, meeting the requirements of different use scenarios.

The product upgrade that added a built-in browser to Claude Code offers a valuable reference case for AI brands on product R&D and building brand trust. Key takeaways are as follows:

1. Product R&D direction: This upgrade addresses a core pain point in users’ key workflow by eliminating the need to constantly switch to external browsers when using coding tools, and covers common coding scenarios including documentation access and issue tracking, effectively improving overall user experience.

2. Security design aligns with brand positioning: As Anthropic’s core brand value focuses on AI safety and ethical alignment, this update’s new features—including multi-layered security checks, user authorization for sensitive operations, zero user information storage, and support for custom enterprise permissions—reinforce the brand’s "safety-first" positioning and boost user trust.

3. Tiered user operation: The brand delivers built-in functionality for general users and an extension-based solution for users with specialized needs, covering the requirements of different user groups and improving the product’s adaptability.

This feature upgrade for Claude Code not only helps sellers improve operational efficiency via AI tools, but also highlights opportunity signals for sellers focused on the AI track. Key insights are as follows:

1. Improved tool efficiency: Sellers can access industry data sites, sourcing platforms, and operational analytics pages directly within Claude Code, eliminating the need to switch between multiple tools. This effectively boosts efficiency for core workflows such as product selection and operations management, and the robust security framework eliminates risks of account information leakage.

2. Track opportunity signals: AI productivity tools are continuously expanding their capability boundaries, and developing complementary plugins and extensions for the AI tool ecosystem is an emerging high-potential entrepreneurial direction. The supplementary Chrome extension solution in this update further validates this trend.

3. Risk reminders: Enterprise sellers can restrict access via whitelists or disable the entire feature to facilitate internal information security control. When using AI for sensitive business operations, users must complete authorization confirmation to avoid accidental errors.

This feature upgrade for Claude Code offers meaningful insights for factories advancing digital transformation and adopting AI tools. Key takeaways are as follows:

1. Insights for digital tool development: When building in-house digital management systems or adopting AI tools, factories can follow this upgrade’s approach: integrate commonly used external capabilities around core production and design scenarios to reduce the cost of switching between systems, which in turn improves tool adoption rates and employee acceptance.

2. Reference for AI security control: AI adoption at factories involves sensitive data such as production records and supply chain information. Factories can refer to this framework to build a multi-layered security check mechanism and support custom enterprise access permissions, preventing sensitive information leakage and meeting factories’ information security requirements.

3. Efficiency improvement opportunities: As AI tools continue to mature, more features tailored for factory product design and production management scenarios will emerge. Factories can monitor AI development trends in advance to leverage the technology to improve operational efficiency and cut product design and manufacturing costs.

This feature upgrade reflects key development trends and core customer pain points in the AI tool industry, and provides valuable reference for service providers operating in this space. Key insights are as follows:

1. Industry development trends: Current large model-powered productivity tools are evolving from standalone content generation capabilities toward integrated workflows. Natively building common external operation capabilities into core tools is a user-centric product upgrade direction, and the application boundary of AI tools continues to expand.

2. Core customer pain points: The widespread friction of constant cross-application switching when using AI tools is now recognized across the industry. Meanwhile, enterprise clients have clear, non-negotiable requirements for information security and access permission control, and need flexible, configurable security solutions.

3. Solution reference: When providing AI-related services to clients, service providers can draw on this framework: integrate additional functionality to improve user experience, while pairing it with multi-layered security checks, custom permissions, and supplementary extension solutions, balancing experience and security to meet the needs of different client types.

The launch of Claude Code’s built-in browser offers references for AI tool platforms on feature development and operational management. Key takeaways are as follows:

1. Platform feature upgrade direction: AI tool platforms should integrate native capabilities around users’ core use scenarios to solve the pain point of constant cross-platform switching, improving user experience and retention. Building native external web access capability is a user-aligned upgrade direction.

2. Reference for secure platform operation: Platforms need to build a robust security framework: categorize and screen sensitive operations, require explicit user authorization before execution, avoid storing user sensitive information, and provide enterprise clients with custom permissions such as whitelist control and feature disabling to meet enterprises’ compliance and security requirements.

3. Reference for platform ecosystem building: To meet users’ specialized personalized needs, platforms do not need to develop all functionality in-house. Instead, they can partner with external extension tools to meet demand, lower platform development costs, and expand the platform’s overall capability coverage.

The addition of a built-in browser to Claude Code marks a new development in the large model industry and provides a fresh case for AI industry research. Key insights are as follows:

1. New industry trend: Current large language model products are evolving from pure content generation to tools with real-world operational capabilities, gradually establishing connections with the external internet ecosystem and continuously expanding the application boundary of large models. Productivity tools represent a key landing direction for large model technology.

2. Case study for AI safety research: As a leading enterprise focused on AI safety and ethical alignment, Anthropic has implemented actionable security solutions in this update, including multi-layered security checks, explicit user authorization, zero sensitive information storage, and enterprise permission control. This provides a practical case for studying the real-world implementation of AI safety and ethical alignment.

3. Reference for business model research: AI productivity tools can increase user value through continuous feature iteration, and the "core built-in functionality + external extension supplement" model covers the needs of different user segments. This framework offers valuable reference for research on AI product commercialization.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

2026年7月12日，该公司为旗下编码工具Claude Code新增集成浏览器窗口。用户可直接在应用内打开读取网页内容，也可完成点击输入等操作，适用场景覆盖文档站点、问题追踪器等相关资源。该浏览器采用标签页设计，可通过快捷键唤起，运行逻辑沿用Claude现有本地应用预览工具，额外增设多层安全校验机制。

所有针对外部站点的写入操作都会经过分类器筛查，未经用户同意，Claude不会执行购物、创建账号、绕过验证码等动作。浏览器运行在无保存登录信息的纯净配置文件下，不会留存任何用户账号凭证。

企业组织可通过白名单限制外部站点访问权限，也可直接禁用全部浏览器工具。有在自身已登录会话中使用Claude操作需求的用户，可使用对应的Chrome扩展程序实现相关功能。

Anthropic是成立于2021年的美国人工智能公司，主打Claude系列大语言模型，核心研发方向聚焦人工智能安全与伦理对齐。

文章来源：亿邦动力