Sourcegraph

A Qualtrics senior software engineer reports completing unit-test work with Cody in an hour that otherwise would have required multiple developer days, supplying a named workflow outcome beyond Sourcegraph's enterprise customer roster.

Sourcegraph remains deployed in large enterprise codebases and supports cloud and self-hosted customers, including historically Uber, Lyft, Dropbox, major banks and large software organizations.

Sourcegraph remains deployed in large enterprise codebases and supports cloud and self-hosted customers, including historically Uber, Lyft, Dropbox, major banks and large software organizations.

Sourcegraph 7.0 positions the platform as an intelligence layer for AI coding agents, with Deep Search, Code Search, MCP, Code Finder and Agentic Batch Changes across large codebases.

Sourcegraph 7.0 positions the platform as an intelligence layer for AI coding agents, with Deep Search, Code Search, MCP, Code Finder and Agentic Batch Changes across large codebases.

Sourcegraph 7.0 repositioned the platform as the intelligence layer for AI coding agents and developers, providing enterprise-scale code context across large repositories; its MCP server is generally available for agents including Claude Code, Cursor and VS Code.

Sourcegraph operates mature cloud and self-hosted enterprise deployments and continues shipping agentic search, batch changes and code-context infrastructure after separating Amp.

Sourcegraph operates mature cloud and self-hosted enterprise deployments and continues shipping agentic search, batch changes and code-context infrastructure after separating Amp.

Sourcegraph documents enterprise adoption by Uber, Lyft, Dropbox, four of five FAANG companies and four of the ten largest US banks; this separately establishes a diversified major-enterprise customer base beyond its existing product-continuity evidence.

Sourcegraph engineering spans ML and agentic systems, platform engineering, code-plane infrastructure and security; its agent roles combine production ML, evaluation, retrieval, fine-tuning and multi-step agent systems on top of large-scale deterministic code infrastructure.

Code search, code intelligence, developer infrastructure, agent context and large-scale refactoring skills transfer exceptionally broadly across developer AI and software infrastructure.

Code search, code intelligence, developer infrastructure, agent context and large-scale refactoring skills transfer exceptionally broadly across developer AI and software infrastructure.