Sourcegraph Cody
AI coding assistant built on Sourcegraph's code search, giving it strong context across very large, multi-repository codebases for chat, autocomplete, and commands.
About Sourcegraph Cody
Cody is Sourcegraph's AI coding assistant, and its core advantage comes from Sourcegraph's underlying code-search engine: rather than only seeing the open file or a small local window, Cody can pull relevant context from across an entire organization's codebase — including multiple repositories — when answering questions or generating code. It supports chat, autocomplete, and predefined "commands" (explain code, generate tests, fix errors) inside VS Code and JetBrains IDEs, and lets teams choose which underlying model (Claude, GPT, Gemini) powers responses. As of mid-2025, Sourcegraph discontinued the Cody Free and Pro tiers entirely — Cody is now an Enterprise-only product priced from $59/user/month on an annual contract, with typical team contracts starting around $16,000. The full cross-repo context advantage is most apparent in larger organizations already using or willing to set up Sourcegraph; individual developers and small teams should look at other IDE assistants instead.
Pros
- ✓Excellent context across large, multi-repo codebases
- ✓Built on proven Sourcegraph code-search technology
- ✓Supports multiple LLMs (Claude, GPT, Gemini) under the hood
- ✓SOC 2 compliant with self-hosted/air-gapped deployment options
Cons
- ×No free or individual-developer tier as of 2025 — Enterprise only, from $59/user/month with annual contracts
- ×Full value depends on Sourcegraph code search/indexing setup
- ×Smaller community than GitHub Copilot
Use Cases
Large-codebase navigation and Q&A
Cross-repository refactoring
Onboarding to unfamiliar enterprise codebases
Team-wide AI coding standards
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Tags
Enterprise only — contracts starting around $16K/year
paid