Zed vs Jules

Detailed side-by-side comparison to help you choose the right tool

Zed

🔴Developer

AI Coding Assistants

High-performance, multiplayer code editor from the creators of Atom and Tree-sitter, with native AI agents and MCP support.

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Starting Price

Custom

🔴Developer

AI Coding Assistants

Google's asynchronous coding agent that clones your repo into a cloud VM, plans changes, and opens pull requests on your behalf.

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Starting Price

Custom

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Feature	Zed	Jules
Category	AI Coding Assistants	AI Coding Assistants
Pricing Plans	420 tiers	6 tiers
Starting Price
Key Features	• GPU-Accelerated Rendering: Uses Metal on macOS and Vulkan on Linux to render the entire UI on the GPU, achieving sub-millisecond keystroke latency and smooth scrolling even in very large files with thousands of lines of code. • Built-in AI Assistant: Integrated assistant panel supporting Claude, GPT-4, Gemini, and other LLMs for code generation, refactoring, explanation, and inline transformations with full project-wide context indexing for deeper codebase understanding. • Real-Time Multiplayer Collaboration: CRDT-based collaboration engine allows multiple developers to edit the same workspace simultaneously with live cursors, shared terminals, and zero-conflict merging.

✓Rust-native, GPU-accelerated interface is designed for low-latency editing
✓Real-time collaboration is built into the editor instead of added by an extension
✓Agent panel, multiple model providers, and MCP support consolidate common AI workflows

✗A smaller extension ecosystem can block teams dependent on VS Code-specific tooling
✗Hosted AI prices and usage allowances require current vendor verification
✗MCP-connected tools introduce credential and approval risks that need explicit controls

✓True async delegation — spins up a cloud VM, runs tests, opens a PR while you do other work
✓Concurrent multi-repo task execution makes backlog burn-down genuinely fast
✓Voice tasks and audio summaries let you queue and review work while context-switching
✓Sandboxed Google Cloud runtime keeps experiments off your local machine

✗GitHub-only at launch — no first-class GitLab, Bitbucket, or self-hosted Git support
✗No MCP server, so Jules cannot easily plug into other agent stacks or MCP clients
✗Bundled into Google AI Pro / Ultra subscriptions rather than sold standalone
✗Best on bounded, mechanical work; greenfield feature development still needs a human in the loop

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