Sourcegraph

Sourcegraph empowers humans and AI coding agents with the context to understand and evolve the world's largest, most complex codebases

Sourcegraph gives developers and AI coding agents shared context across an entire codebase, spanning every repository, branch, and language, so both humans and agents can understand, oversee, and evolve large, complex code at scale. It sits in the coding and development category, built for organizations whose code has grown faster than any one team can track by hand.

The platform combines agentic, natural-language Deep Search and Code Search for exploring complex codebases, Agentic Batch Changes for making code changes across a fleet of repositories, Insights for high-level code metrics, and an MCP server and APIs that give AI coding agents the kind of codebase knowledge a senior engineer would have. It also covers code migrations, modernization, and security visibility at scale, and reports being trusted by more than 200 enterprise engineering teams, including using its MCP server to make internal AI agents more effective at companies such as Stripe.

Sourcegraph is offered as an enterprise product with no public self-serve pricing; access goes through scheduling a demo. Engineering teams whose codebase has outgrown ad hoc search and manual code review can get a demo to see agent-ready context work against their own repositories.

Category: Coding & Development. Pricing: enterprise. Visit website

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