High-performance, multiplayer code editor written in Rust with a first-class AI agent panel that supports any LLM and the Model Context Protocol.
High-performance, multiplayer code editor written in Rust with a first-class AI agent panel that supports any LLM and the Model Context Protocol.
Zed is a code editor written from scratch in Rust by the team behind Atom and Tree-sitter, with a focus on GPU-accelerated rendering, multiplayer editing, and a first-class AI Agent Panel.
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Zed renders its entire UI through the GPU using Metal on macOS and Vulkan on Linux, bypassing the CPU-bound rendering pipelines used by Electron-based editors. This architecture enables sub-millisecond keystroke response times and eliminates the frame drops and input lag that developers experience in VS Code and Cursor during heavy editing sessions, fast scrolling, or working with large files exceeding 100,000 lines.
The built-in Assistant Panel connects to multiple LLM providers including Anthropic Claude, OpenAI GPT-4, and Google Gemini, giving developers flexibility to choose the most suitable model for each task. The assistant supports inline code transformations, extended multi-turn conversations in a dedicated panel, and project-wide context indexing that feeds relevant codebase information to the AI for more accurate suggestions.
Unlike editors that bolt on collaboration via extensions, Zed uses Conflict-free Replicated Data Types as its core data model, enabling truly simultaneous multi-user editing without merge conflicts. Each participant maintains a full local replica of the workspace, and changes propagate in real time with shared cursors, collaborative terminals, and the ability to follow other developers' viewports.
Built entirely in Rust, Zed achieves memory safety guarantees without garbage collection overhead, resulting in predictable performance and notably lower RAM consumption compared to Electron-based editors. The Rust architecture also enables fine-grained concurrency for background tasks like indexing, LSP communication, and file watching without impacting editing responsiveness.
Zed provides first-class Language Server Protocol integration for over 30 programming languages, delivering autocomplete, diagnostics, go-to-definition, symbol search, and code actions with minimal configuration. Language servers run in separate processes to prevent any single language tool from blocking the editor, and Tree-sitter grammars provide instant syntax highlighting and structural editing capabilities.
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$20/user/month
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As of early 2026, Zed is actively developing Windows support, which remains the most requested missing platform. The team continues to expand the AI assistant capabilities with improved project-wide context indexing and support for additional LLM providers. The extension ecosystem has grown significantly, with new community-contributed extensions for popular frameworks and languages. Collaboration features have been refined with better audio channel support and improved workspace sharing for larger teams.
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I spent six weeks building the same project — a multi-tenant SaaS backend with auth, billing, and webhook integrations — across ten AI code editors. I tracked time-to-completion, error rates, and how many manual corrections each tool required per task. The tool with the highe