According to Boris Cherny on Twitter, Anthropic has introduced an open source sandbox runtime for Claude Code that improves safety while reducing permission prompts, with local file and network isolation and Windows support coming soon (as reported by the linked GitHub repo and Claude Code docs). According to the Anthropic experimental GitHub repository, users can enable the feature by running /sandbox, which executes on the developer’s machine to isolate code execution and limit unintended access. As reported by Claude Code documentation, this approach enables stricter least‑privilege workflows for code generation and tool use, creating practical benefits for enterprise security teams and regulated industries evaluating AI coding assistants. According to the same sources, network and filesystem isolation can reduce data exfiltration risks and noisy authorization UX, which is a key business advantage for organizations scaling AI pair programming across teams.

According to @godofprompt, acontext_io has launched an open-source alternative platform that enables direct execution of user-coded skills within their own sandbox environments. This solution provides users with complete transparency over logs and artifacts, and supports integration with any large language model (LLM) through OpenRouter. As reported by @godofprompt on Twitter, this platform allows users to maintain full control and ownership of execution, eliminating reliance on third-party platforms. This development highlights growing demand for customizable and secure AI deployment solutions in the industry.