Sourcegraph is a developer tools company that provides universal code search and AI-assisted coding for software teams, with a particular focus on large, complex enterprise codebases. Founded in 2013 and headquartered in the United States, the company built its reputation on code search and graph-based code intelligence that helps developers navigate and understand code across many repositories.
The foundation of Sourcegraph's platform is deep code context: indexing and understanding entire codebases rather than only the limited window an editor or model can see at once. This context advantage informs both its code search product and its AI coding capabilities, enabling more accurate navigation, explanation, and change suggestions across sprawling enterprise repositories.
Sourcegraph's AI coding strategy has evolved. The company introduced Cody as an AI coding assistant grounded in code intelligence, and has since shifted emphasis to Amp, described as its frontier coding agent built for agentic workflows and collaboration. As part of this transition, Sourcegraph discontinued the free and pro Cody plans in 2025 and directed those users toward Amp, reflecting a broader move from assistant-style completion to autonomous agentic coding.
The company has raised substantial venture funding across multiple rounds at the growth stage and is used by engineering organizations at large technology companies to accelerate developer productivity at scale. Its enterprise focus emphasizes working effectively in big, multi-repository environments.
Sourcegraph competes with other code search tools and with AI coding assistants and agents from major platforms and startups. Its differentiation centers on graph-based, codebase-wide context and an enterprise orientation, now expressed through agentic coding with Amp.
The platform is best suited to mid-size and large engineering organizations with substantial codebases that want strong code search and AI coding grounded in deep, repository-wide context.