According to Claude (@claudeai) on Twitter, computer use in Claude Cowork and Claude Code Desktop is now available on Windows, expanding the toolset beyond macOS and browser-based experiences. As reported by the official Claude announcement post, Windows users can now let Claude interact with local files, apps, and development workflows, enabling tasks like repository analysis, build automation, and environment setup directly on the desktop. According to Anthropic’s product communications, this Windows expansion lowers deployment friction for enterprise developers who standardize on Windows, opening opportunities for IT-managed installations, role-based access, and governed AI coding workflows. As reported by the same source link, teams can leverage computer use to accelerate onboarding, code reviews, and repetitive IDE tasks, while centralizing telemetry and permissions for compliance-focused rollouts.

According to Claude, Anthropic’s Computer Use is now available in a research preview for macOS users on Pro and Max tiers, enabled via the /mcp command with setup instructions in the official docs at code.claude.com/docs/en/computer-use. As reported by Anthropic’s Claude account on X, this feature allows the model to operate Mac apps and the file system under user control, creating opportunities for workflow automation in coding, customer support, and data entry while remaining sandboxed for safety. According to the official documentation, teams can configure Model Context Protocol (MCP) tools and permissions to govern app access, logs, and reproducibility, enabling enterprise-grade auditability for AI agents. As noted by the docs, early use cases include automated bug triage in IDEs, spreadsheet reconciliation, and UI-driven browser testing, which can reduce manual effort and accelerate cycle times for SMBs and software teams.

According to Ethan Mollick on X, Claude with Computer Use autonomously downloaded the NetHack codebase, read documentation, and began implementing a new horror-inspired creature by modifying source files until hitting rate limits, demonstrating concrete agentic capabilities for software development workflows (as reported by Ethan Mollick’s X post and thread). According to Mollick’s post, the model executed multi-step tool use including repository fetch, file inspection, and targeted code edits, highlighting near-term applications in rapid prototyping and legacy code maintenance for game development and enterprise software. As reported by Ethan Mollick, the run-by-run trace suggests viable business use cases such as automated feature insertion, refactoring, and test generation under human supervision, with constraints around API rate limits and oversight requirements.

According to Satya Nadella, Microsoft has advanced its Researcher AI tool with a new feature called Computer Use, enabling it to securely browse both open and gated web sources to gather hard-to-find information across hundreds of sites. The AI can now perform complex, multi-step research tasks, extract actionable insights, and generate comprehensive reports, positioning it as a powerful tool for data-driven industries seeking to streamline research workflows and improve decision-making efficiency (source: @satyanadella on Twitter, Oct 30, 2025).