Zed Launches Claude Code Beta for AI-Driven Multiplayer Editing

Zed Industries has launched a public beta integrating Claude Code into its high-performance editor via the Agent Client Protocol, enabling seamless AI tasks like code generation and refactoring in a multiplayer setup. This supports multiple AI models, boosts productivity, and challenges vendor lock-in. Developers can now collaborate with AI agents in real time.
Zed Launches Claude Code Beta for AI-Driven Multiplayer Editing
Written by Lucas Greene

In a move that underscores the rapid evolution of AI-assisted coding tools, Zed Industries has announced the public beta integration of Claude Code directly into its high-performance code editor. This development, detailed in a recent company blog post, leverages the newly introduced Agent Client Protocol (ACP) to embed Anthropic’s advanced AI capabilities seamlessly within Zed’s multiplayer environment. For developers accustomed to switching between tools, this integration promises a more fluid workflow, allowing Claude Code to handle tasks like code generation, refactoring, and debugging without leaving the editor.

The announcement highlights how Zed is positioning itself as a flexible platform for AI agents, building on its existing support for models like Anthropic’s Claude. Unlike traditional integrations that might lock users into specific vendors, ACP enables Zed to accommodate multiple AI teammates, from Google’s Gemini to custom models. Industry insiders note that this could reduce dependency on dominant players like Microsoft’s VS Code, which has long integrated similar AI features but often within a more constrained ecosystem.

Unlocking Agentic Engineering in Real Time

At the core of this beta is the Agent Client Protocol, which Zed describes as a bridge for external AI agents to interact with the editor’s interface. Developers can now initiate Claude Code sessions directly in Zed, benefiting from features like session continuity, streaming outputs, and tool calls. For instance, the protocol supports auto-accepting edits in controlled modes, though the company advises caution with settings that bypass permissions to maintain security, especially in collaborative projects.

This isn’t Zed’s first foray into AI; a prior blog post from August 2024 introduced Zed AI powered by Claude, but the new beta shifts toward a more agentic approach. Users who have tested community bridges, such as the Claude Code ACP on GitHub, report significant cost savings compared to direct API usage, with one developer citing a drop from $100 weekly bills to more manageable figures by leveraging Claude’s models more efficiently.

Implications for Productivity and Collaboration

The integration arrives amid growing demand for AI tools that enhance rather than disrupt coding workflows. Zed’s multiplayer capabilities, inherited from the creators of Atom and Tree-sitter, allow multiple users to collaborate with AI agents in real time at 120fps, a feature that sets it apart from slower alternatives. Discussions on platforms like GitHub reveal enthusiasm for moving Claude Code into Zed’s assistant panel, with users praising its handling of large-repo refactors and batch fixes through live diffs.

However, challenges remain. Security teams are advised to monitor external agent traffic, as it bypasses Zed’s servers, ensuring compliance in sensitive environments. Early adopters, as shared in a personal blog by developer Ben Swift, emphasize the need for sandboxing when enabling aggressive edit modes to prevent unintended changes.

Broader Industry Shifts and Future Prospects

This beta aligns with broader trends where editors like Zed are fostering open AI integrations to combat vendor lock-in. A report from The Register notes Google’s involvement in ACP, positioning it as a counter to Microsoft’s dominance. For industry professionals, the ability to run multi-agent setups—such as Gemini drafting plans while Claude adds tests—all within one editor could accelerate development cycles.

Looking ahead, Zed’s team hints at native support expansions, with logs accessible via commands like “open acp logs” for troubleshooting. As AI tools mature, this integration could redefine how teams approach complex projects, blending human ingenuity with machine precision in ways that prioritize speed and collaboration. With the beta now public, developers are encouraged to experiment, potentially reshaping their daily routines in the process.

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