Zed is a next-generation code editor built from the ground up in Rust by Zed Industries, the team behind the Atom editor and Tree-sitter parsing library. It combines the speed of native applications with modern collaboration and AI-assisted coding features, making it one of the fastest-growing developer tools in the open-source ecosystem.

Performance Architecture

Zed uses GPU-accelerated rendering through a custom UI framework, delivering frame rates and responsiveness that match native system applications. The entire editor is written in Rust, eliminating the Electron overhead that slows down many modern code editors. Tree-sitter provides incremental parsing for syntax highlighting and code navigation, ensuring that even large files remain responsive.

AI Integration

The editor includes built-in AI assistance with an Agent panel that delegates coding tasks and lets you review changes in real time. Zed supports inline code transformation by sending selected code to language models, and includes Zeta, an open-source, open-data language model for code completion that predicts what you will type next. The AI features work with multiple LLM providers.

Multiplayer Collaboration

Real-time collaboration is a core feature, not a plugin. Multiple developers can edit the same workspace simultaneously with presence indicators, shared terminals, and voice communication built directly into the editor. This makes pair programming and code review sessions seamless without requiring screen sharing.

Developer Experience

Zed includes full LSP (Language Server Protocol) support for intelligent code completion, diagnostics, and refactoring across dozens of languages. The integrated terminal, project-wide search, Git integration, and extensibility through the Zed extension ecosystem make it a complete development environment. Installation is available through direct download from zed.dev or via package managers on all supported platforms.

Agent Relevance

For AI agent workflows, Zed represents a modern editor that agents can interact with through its extension API and terminal integration. Its AI-native design makes it particularly relevant for developers building and testing agent-powered coding assistants.