Sourcegraph
Search, understand, and manage large codebases — with natural language queries and AI agent context.
| What is it | Search, understand, and manage large codebases — with natural language queries and AI agent context. |
|---|---|
| Pricing | Paid |
| Free tier | No |
| Platform | Web Application |
| API | Yes |
| Works with | Claude AI |
| Best for | understanding and navigating large, complex codebases, making cross-cutting changes with AI agents that have full context |
| Domain registered | 2012 |
Data updated Aug. 1, 2026
What does Sourcegraph do?
Sourcegraph indexes all your repositories so you can search for code across the entire codebase instantly. It goes beyond simple grep—it understands code structure with SCIP, tracks changes over time with Code Insights, and now provides a full context layer for AI coding agents. You can ask natural language questions in Deep Search and get grounded answers with code references. The platform builds a smart index of your code, including dependencies and cross-references. Deep Search lets you ask things like "Where is the authentication middleware?" and get precise results. The MCP Server (Model Context Protocol) gives AI agents a complete view of your codebase, so they don't miss related files when making changes. Agentic Batch Changes let you automate large-scale refactors across thousands of repos. Everything is built on SCIP, an open standard for precise code intelligence. Engineering teams at large enterprises benefit most, especially those with monorepos or many microservices. If you've ever had an AI agent make a change that missed auth middleware or broke tests, Sourcegraph's full context is the fix. Real-world uses include code review, migration tracking (e.g., upgrading a library across all repos), security compliance audits, and giving AI assistants the full picture.
Key features
What makes it stand outWho is Sourcegraph for?
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