# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. Code execution tool with REPL state persistence (daemon mode + gVisor checkpoint). name: ...

Claude Code is no longer tied to your desk. Anthropic has introduced a new Remote Control mode that lets you manage and monitor Claude Code tasks from your phone, turning long-running coding jobs into ...

Cybersecurity researchers have disclosed two new security flaws in the n8n workflow automation platform, including a crucial vulnerability that could result in remote code execution. Shachar Menashe, ...

Anthropic PBC’s official Git Model Context Protocol server has several security vulnerabilities that can lead to arbitrary file access and, in some scenarios, full remote code execution triggered ...

A set of three security vulnerabilities has been disclosed in mcp-server-git, the official Git Model Context Protocol (MCP) server maintained by Anthropic, that could be exploited to read or delete ...

Newly available videos and existing footage synchronized and assessed by The Times provide a frame-by-frame look at how an ICE officer ended up shooting and killing a motorist in Minneapolis. By The ...

Blockchain security firm SlowMist has issued an urgent warning to the developer community regarding a sophisticated new attack vector targeting users of “vibe coding” tools and mainstream Integrated ...

A new report out today from artificial intelligence security startup Cyata Security Ltd. details a critical remote code execution vulnerability in Cursor Inc.’s integrated development environment that ...

Anthropic has launched a beta integration that connects its fast-growing Claude Code programming agent directly into Slack, allowing software engineers to delegate coding tasks without leaving the ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

Abstract: Code generation models based on large language models (LLMs) have gained wide adoption, but challenges remain in ensuring safety, accuracy, and controllability, especially for complex tasks.