Suggests edits using code search and the context of an organization’s repositories.
Sourcegraph Funding History
Sourcegraph develops code search and AI coding tools, including the Cody code assistant and the Amp coding agent.
Company Overview
Sourcegraph
Founded 2013 · San Francisco, California, US
Official WebsiteSourcegraph Funding Timeline
Series D
US$125 million
Sourcegraph framed the round around a problem it called Big Code: helping developers search sprawling codebases across projects.
Led by Andreessen Horowitz.
Source · sourcegraph.com ↗Series C
US$50 million
Sourcegraph planned to build a cloud version of its search tool for private repositories and improve search across public code.
Led by Sequoia Capital. Participation included Craft Ventures, Redpoint, Felicis.
Source · sourcegraph.com ↗Series B
US$23 million
Craft Ventures’ David Sacks joined Sourcegraph’s board as the company brought its code search tool to more developers.
Led by Craft Ventures. Participation included Redpoint.
Source · en.wikipedia.org ↗Series A
US$20 million
Sourcegraph said the financing would help it develop tools for searching and understanding code across software projects.
Led by Andreessen Horowitz.
Source · sourcegraph.com ↗
Sourcegraph Founding Team
Quinn Slack and Beyang Liu started Sourcegraph to make large codebases easier to work with. Their early focus was code search, helping developers find definitions and references across projects.
Sourcegraph Products
Sourcegraph Company Development
Code Search as Context for an Assistant
Sourcegraph built tools for navigating code across large repositories before introducing Cody. Bringing the assistant into that search environment made retrieval part of the coding workflow, so a developer could ask about code spread across files rather than start from one open tab.
Sourcegraph Competitive Landscape
Repository Context and Enterprise Deployment
Sourcegraph's roots in repository search make cross-codebase context central to the assistant. Tabnine also sells coding assistance to enterprises, with particular emphasis on deployment inside private or isolated environments. That leaves buyers with two separate questions: what context the tool can retrieve and where it can run.
