Sourcegraph vs Zed
Two Coding AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
Code search and AI context across the whole codebase
Best forEnterprise engineering teams managing large multi-repository codebases who want reliable AI context
What it doesSourcegraph indexes entire codebases to give humans and AI agents complete context for search, oversight, and large-scale change. It supports natural-language and deterministic code search plus cross-repository batch changes.
Capabilities- Natural-language Deep Search with citations
- Deterministic code search across repositories
- MCP server for AI agent code intelligence
- Batch Changes for cross-repo refactors
- Code Insights analytics for migrations and risk
Visit Sourcegraph →A fast, multiplayer code editor with native AI agents
Best forDevelopers who want a fast modern editor with agentic editing and real-time collaboration built in
What it doesZed is a code editor written in Rust that pairs high performance with native AI integration. Developers can delegate work to an agent, follow its progress live, and review changes inline alongside built-in Git and multi-language debugging.
Capabilities- Agentic editing with live progress and review
- Edit prediction via an open model
- Native Git integration
- Multi-language debugging (Debug Adapter Protocol)
- Real-time collaboration and screen sharing
Visit Zed →How to choose
Choose Sourcegraph if you are enterprise engineering teams managing large multi-repository codebases who want reliable ai context. Choose Zed if you are developers who want a fast modern editor with agentic editing and real-time collaboration built in. Both sit in Coding; the right pick depends on your exact workflow and budget.
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