转自：探索AGI 2026年了，Anthropic终于想通了。 Claude Code 的命令行界面只适用于很多极客用户，上周推出了桌面版cowork。 但是其实还有个很重要的插件，可能被大多数人错过了。 他们同时还推出了VSCode的Claude Code插件。 过去几个月，虽然很馋Claude Code，但是Cursor一直是我的主力Coding工具。 看到这个消息，第一反应是：终于TM的来了。 我花了不到一分钟，把它装上了，转完以后，vscode的右上角，多了一个Anthropic图标。 点一下，Claude的对话框就直接弹出来了，跟copilot、cursor等的交互一致。 虽然它只是一个插件，但他还是跟copilot一样，能深度访问到代码的一切。 脱离了终端页面后，cc终于可以引用文件 or 代码行了，甚至它还支持了模糊匹配，比如输入 @auth， 能自动匹配到，auth.js、AuthService.ts、authentication.vue，这些文件。也可以用 @terminal:xxx 来引 | 因为我也才安装，所以更细节的体验得再深入用一下。作为写码出身，还是更喜欢嵌在ide里边的ai | ...

外媒称，几个月来，开发者们一直在比较 Anthropic 的 Claude Code、Anysphere 的 Cursor 和微软的 GitHub Copilot 这三款人工智能编码工具的优缺点，希望能找到最终的赢家。虽然没有哪一款人工智能 编码工具能够完美胜任软件开发者每天的所有任务，但 Claude Code 因其易用性而日益脱颖而出，无论 对于开发者还是非技术用户来说，它都非常容易上手。 来源：环球网 【环球网科技综合报道】1月24日消息，据The Verge报道，微软正鼓励其一些最有成就的团队中的数千 名员工学习 Claude Code 并开始编写代码，即使他们不是开发人员。 微软去年6月率先在其开发者部门内部采用Anthropic的Claude Sonnet 4模型，几个月后又将其推广至 GitHub Copilot的付费用户。如今，微软更进一步，在其最大的工程团队中广泛采用Claude Code，进一 步拓展了Anthropic人工智能模型的应用范围。 微软新成立的人工智能工程团队 CoreAI 由前 Meta 工程主管 Jay Parikh 领导，近几个月来一直在测试 Claude Code。上 ...

Core Viewpoint - The incident involving Claude CLI highlights significant risks associated with AI development tools, particularly regarding command execution that can lead to catastrophic data loss [10][11]. Group 1: Incident Overview - A developer reported that using Claude CLI resulted in the deletion of their entire user directory and Mac system due to a catastrophic command execution [3][4]. - The command executed was `bashrm -rf tests/ patches/ plan/ ~/`, where the `~/` symbol led to the deletion of all contents in the user's home directory [3][4]. - The developer's experience reflects a broader issue, as other users on Reddit have reported similar incidents involving Claude CLI [9]. Group 2: Community Reactions - Many developers expressed frustration and humor regarding the incident, with comments highlighting the absurdity of the situation and the potential for AI tools to cause significant harm [6][7]. - A developer emphasized the importance of not allowing AI tools to execute dangerous commands like `rm`, suggesting a preference for using `mv` instead [8]. Group 3: Expert Insights - Industry experts noted that the incident underscores a fundamental disconnect between AI language models and command execution environments, leading to misinterpretations of commands [11]. - Recommendations include maintaining human oversight when using AI coding agents and regularly reviewing command histories to mitigate risks [12]. Group 4: Preventive Measures - Suggestions for preventing similar incidents include using sandbox environments for running agents, limiting their permissions to specific directories, and employing version control systems to track changes [14]. - Developers are advised to guide AI tools to use specific file editing commands rather than general shell commands to avoid unauthorized access [14].

As AI has grown more capable, software developers around the world have lagged behind the technology advances, and have consistently eschewed the most powerful tools. In this talk I explore why devs are staying 9-12 months behind the AI curve. I'll share a preview of what 2026's AI coding tools will be like, and paint a vision of where we go from here. Speakers: * Steve Yegge | Engineering Leader, Sourcegraph/Amp https://x.com/Steve_Yegge https://www.linkedin.com/in/steveyegge/ * Gene Kim | Author & Researc ...