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Sourcegraph

Code search and context layer for engineering teams and AI agents

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About Sourcegraph

Engineering teams working across large or fragmented codebases struggle to track dependencies, find answers, and provide accurate context to coding agents. Without complete context, reviewing and executing large-scale code changes is slow and error-prone.

Sourcegraph provides universal code search and context retrieval across monorepos and multi-repository architectures. It includes deterministic search, natural language search with citations, and guided views for complex diff reviews.

The platform also provides context for AI coding agents to improve generation accuracy and automate code modifications across hundreds of repositories through Agentic Batch Changes.

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