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Sourcegraph

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description Sourcegraph Overview

Searching across a large organization is Sourcegraph's central purpose. The platform brings code search and code intelligence to connected repositories, including large monorepos, so developers can investigate a project beyond the files open in their editor. Cross-repository navigation helps trace references and move to definitions, while dependency navigation supports understanding how code connects across projects. These capabilities are described in its code navigation documentation.

Code Insights adds a way to follow patterns in a codebase over time, such as the progress of a migration or the use of a particular library. Sourcegraph suits developers maintaining unfamiliar systems and teams coordinating changes across many repositories. Its defining advantage is the breadth of code that can be searched together, making it useful for investigation and onboarding as well as everyday development.

help Sourcegraph FAQ

What is Sourcegraph used for?

Sourcegraph is used for code search, code navigation, and understanding large codebases across many repositories. It is especially useful in organizations with monorepos or many GitHub, GitLab, or Bitbucket repositories.

What is Cody in Sourcegraph?

Cody is Sourcegraph's AI coding assistant. It uses code context from Sourcegraph so it can answer questions or generate changes with awareness of a company's repositories.

How is Sourcegraph different from GitHub code search?

GitHub code search is strongest inside GitHub-hosted repositories, while Sourcegraph is designed to index code across multiple hosts and large organizations. Sourcegraph also emphasizes cross-repository navigation and enterprise code intelligence.

Why do companies use Sourcegraph for monorepos?

Large monorepos can be hard to search and understand with basic text search alone. Sourcegraph indexes repositories and supports symbol-aware navigation, which helps developers trace definitions and references across a large codebase.

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