Sourcify
Effortlessly find and manage open-source dependencies for your projects.

The universal code intelligence platform for understanding, fixing, and automating code at scale.

Sourcegraph has evolved into the definitive Code Intelligence Platform for the 2026 enterprise landscape. Unlike standard LLM assistants, Sourcegraph utilizes a proprietary Code Graph and the SCIP (Symbolic Code Intelligence Protocol) to create a high-fidelity map of entire codebases, enabling precise navigation and context-aware automation. Its flagship AI agent, Cody, leverages this graph to provide answers grounded in the developer's specific cross-repository architecture. The platform addresses the 'big code' problem by indexing petabytes of data across disparate VCS providers like GitHub, GitLab, and Perforce. As of 2026, Sourcegraph’s positioning focuses on the 'Total Code Intelligence' framework, merging traditional search with generative AI to facilitate large-scale refactors via Batch Changes. It operates as a bridge between legacy monolithic architectures and modern microservices, providing a single source of truth for code discovery. The technical architecture supports self-hosted, air-gapped deployments for high-security environments and cloud-native instances for rapid scaling, ensuring that its Retrieval-Augmented Generation (RAG) capabilities remain compliant with evolving global data sovereignty laws.
Sourcegraph has evolved into the definitive Code Intelligence Platform for the 2026 enterprise landscape.
Explore all tools that specialize in code search. This domain focus ensures Sourcegraph delivers optimized results for this specific requirement.
Programmatically change code across hundreds of repositories using a declarative YAML specification to run server-side scripts.
A high-performance protocol for indexing source code to provide fast, precise cross-repo code navigation.
Turns code into data by tracking historical trends in the codebase via specialized SQL-like queries.
Granular controls that allow admins to specify which files are used as context for the AI agent.
A real-time monitoring engine that alerts developers when specific code patterns or vulnerabilities are committed.
An RAG implementation that pulls context from the entire organization's library rather than just the active file.
A fully containerized version of the platform designed to run in environments without internet access.
Connect your Version Control System (GitHub, GitLab, or Bitbucket) via OAuth or Access Token.
Define repository syncing filters to select specific projects for indexing.
Deploy a Sourcegraph executor for running server-side Batch Changes and indexing.
Generate SCIP or LSIF indexes for your repositories to enable precise symbol-based navigation.
Install the Cody extension in your IDE (VS Code, JetBrains) for context-aware AI.
Configure SSO (SAML or OIDC) for team-wide access and permission mapping.
Set up 'Code Insights' to track migration progress or technical debt across the organization.
Configure Cody Context Filters to exclude sensitive files or directories from AI processing.
Run an initial full-text search index and verify symbol resolution accuracy.
Initialize a test Batch Change to verify the platform's ability to create cross-repo pull requests.
All Set
Ready to go
Verified feedback from other users.
"Developers praise its superior search speed and the deep context provided by Cody, though some find the enterprise setup complex."
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Effortlessly find and manage open-source dependencies for your projects.

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