Why it matters
- Cross-repository code search at scale solves the critical problem of finding all usages of a function, API, or pattern across an organization's entire codebase.
- Structural search (Comby) enables syntax-aware queries that regex can't handle — find all callers of a function regardless of argument formatting.
- Batch Changes automates large-scale migrations — update a deprecated API across 500 repos and open PRs in all of them simultaneously.
- Cody AI assistant gains cross-repository codebase awareness from Sourcegraph's index — uniquely powerful for multi-service architectures.
Key capabilities
- Universal code search: Regex, literal, and structural search across all repos simultaneously.
- Cross-repo navigation: Go-to-definition and find-references across repository boundaries.
- Structural search: Comby-based syntax-aware search patterns.
- Batch Changes: Automated codebase refactoring with PR creation across all repos.
- Code Insights: Visualize trends in the codebase — track how quickly deprecated APIs are removed.
- Cody AI: AI coding assistant with full organizational codebase context.
- Notebooks: Document code investigations and share findings as interactive notebooks.
- Multi-host: GitHub, GitLab, Bitbucket, Gerrit, and self-hosted Git.
Technical notes
- License: Apache 2.0 (self-hosted, open source)
- GitHub: github.com/sourcegraph/sourcegraph (16K+ stars)
- Deployment: Cloud (sourcegraph.com) or self-hosted (Docker Compose, Kubernetes)
- Search: Regex, literal, structural (Comby), diff, commit search
- Pricing: Free (10 users self-hosted); Enterprise cloud/self-hosted custom pricing
- Company: Sourcegraph; San Francisco; founded 2013; raised $225M
Ideal for
- Large engineering organizations with many repositories who need cross-repo search, navigation, and large-scale refactoring.
- Platform engineering teams enforcing organization-wide coding standards and managing large-scale API migrations.
- Teams adopting AI coding (Cody) who want the AI to have context across all repositories, not just the current one.
Not ideal for
- Small teams with 1-3 repos — GitHub's built-in search is sufficient.
- Teams who only need AI coding assistance — Cody can be used standalone without full Sourcegraph.
- Organizations on a tight budget — enterprise pricing is significant.
See also
- Sourcegraph Cody — The AI coding assistant built on Sourcegraph's code intelligence.
- Cursor — AI IDE with local codebase context; less powerful for cross-repo scenarios.
- GitHub Copilot Workspace — GitHub's AI for issue-to-PR automation; GitHub-native alternative.