Cody (Sourcegraph)
Cody is Sourcegraph’s code-aware AI partner for writing, fixing, and understanding complex codebases with confidence.
Cody is Sourcegraph’s AI coding assistant that understands your entire codebase, not just the open file.
Powered by Sourcegraph’s code search and code graph, it delivers grounded chat, precise autocomplete, and multi-file edits that align with your architecture, style, and security requirements.
🚫 The problem Cody (Sourcegraph) solves
Cody closes the context gap in generic AI tools by understanding full, multi-repo codebases.
It accelerates onboarding, refactors, and debugging, reduces time spent reading legacy or poorly documented code, and satisfies strict privacy needs with self-hosted, enterprise-grade deployment options.
✅ How Cody (Sourcegraph) works
Cody runs on a search-first architecture that indexes your repositories into a unified code graph, then uses semantic and keyword search to assemble high-signal context.
It sends only this curated context plus your prompt to an LLM, powering chat, autocomplete, and bulk edits across IDE and web with whole-codebase awareness.
Founder's Story
"Cody is built by Sourcegraph, founded by Quinn Slack and Beyang Liu to give every developer Google-level code search."
"After mastering large-scale code intelligence, the team applied that same graph and search infrastructure to AI, creating Cody as a deeply context-aware assistant for modern engineering organizations."
Do you use Cody (Sourcegraph)?
Reviews
"Reviews praise Cody (Sourcegraph) for saving time and simplifying frontend work with a broad set of high‑quality, free components. Developers highlight smooth React and Next.js use..."
Best For
- Staff and principal engineers owning large
- multi-repo systems; platform and developer productivity teams standardizing AI across the org; founding and early-stage engineering teams who want an AI assistant that truly learns their codebase and conventions.
