Code search and AI assistance across large, multi-repository codebases
Sourcegraph indexes source code across many repositories and languages, so you can search for a symbol, a pattern or a regular expression and get results with structural understanding rather than plain text matches. That index is what makes it useful at scale: finding every caller of a function, tracking how a deprecated API is used, or planning a migration across hundreds of repositories. Cody, its assistant, draws on the same index for context, so answers reference real code from your organisation. It is available as a managed service or fully self-hosted, which is often the deciding factor for large enterprises.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
large codebases, code migrations, enterprise search, refactoring at scale and code intelligence
If you're comparing similar products, check the alternatives below, or browse all tools in the AI Coding & Development category.
Once a codebase spans enough repositories that nobody can hold it in their head. Below that threshold a standard editor search is usually sufficient and the indexing overhead is hard to justify.
Not necessarily. Self-hosted deployments keep the index and the assistant inside your network, and the assistant can be configured with different model backends, which is why regulated organisations look at it.
A way to apply one code modification across many repositories as reviewable pull requests rather than manual edits. It is the feature that makes organisation-wide refactors realistic.
Anthropic's terminal-based coding agent that edits and runs your project
Open-source VS Code agent that plans, edits and runs commands on your key
AI-first code editor built for working inside a real repository
The most widely adopted AI pair programmer