Sourcegraph is a code intelligence platform that enables developers and AI agents to search, navigate, and understand code across every repository, branch, and programming language in an organization, regardless of code host or scale. It solves the challenge of finding and understanding code in large, distributed codebases by providing universal code search with regex, structural, and natural language query support across millions of files. Sourcegraph serves over 800,000 developers and has indexed more than 54 billion lines of code, making it the industry standard for enterprise code search and intelligence.
Sourcegraph's platform includes three core products: Code Search for cross-repository search with code navigation, reference finding, and ownership tracking; Cody, an AI coding assistant with deep codebase understanding; and Amp, a code generation and refactoring agent launched in 2025. Deep Search uses AI agents to answer natural language questions across entire codebases, working across different Git branches and not just the main branch. The platform provides code intelligence features including go-to-definition, find references, code owner identification, and commit history tracing across repository boundaries.
Sourcegraph targets enterprise engineering organizations with large, complex codebases spread across multiple repositories, code hosts, and programming languages where standard IDE search is insufficient. It is particularly valuable for organizations undergoing large-scale refactoring, migration projects, security audits, and onboarding new developers who need to quickly understand unfamiliar codebases. Sourcegraph integrates with GitHub, GitLab, Bitbucket, and other code hosts, and offers both cloud-hosted and self-hosted deployment options for organizations with strict security and compliance requirements.