Zed is a high-performance, multiplayer code editor built in Rust, featuring native AI assistance and real-time collaboration.
Zed is a code editor designed for speed, written from scratch in Rust with a GPU-rendered interface that stays responsive on large codebases. Its multiplayer architecture enables real-time collaboration with shared cursors and voice channels, making pair programming effortless. Native AI integration supports inline predictions, agentic editing, and model choice including local models. Extensions bring language servers and themes, and it runs on macOS and Linux.
Zed proves that a code editor can still be radically faster: the Rust codebase and GPU rendering keep it responsive on repositories that slow other editors to a crawl. For developers who value focus and speed, that performance is the primary draw.
Collaboration is native rather than bolted on: shared workspaces, cursors, and voice make remote pairing feel immediate. AI assistance covers inline predictions and agent-driven edits, and since the editor is open source, teams can inspect, extend, and even self-host the collaboration server.
Common uses include large monorepo work where editor latency compounds daily, and remote pairing sessions where shared context beats screen sharing. Extensions cover most language servers, and settings sync keeps machines consistent.
Zed is free and open source. AI features consume model usage billed by whichever provider you connect, with collaboration features included at no cost.
Developers who value editor performance and built-in collaboration, and teams that pair program across locations.
Extensions cover most language servers, and settings sync keeps multiple machines consistent without manual configuration effort.
Yes, the editor is free and open source; only model usage for AI features may incur provider costs.
Zed is an editor rather than a service, but its extension system and LSP support provide deep integration points for tooling.
Zed is markedly faster than VS Code and offers built-in multiplayer where Cursor leads on AI depth. Developers who try it rarely go back once they have experienced the responsiveness on real production repositories.
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