Cody
Sourcegraph's AI coding assistant
About
Cody by Sourcegraph is an AI coding assistant that uniquely combines code generation with deep code search. Powered by Sourcegraph's industry-leading code search engine, Cody understands your entire codebase—not just the files you have open. It can answer architectural questions ("how does authentication flow through the system?"), find bugs across repositories, and explain complex code paths that span dozens of files. Cody provides code completion, AI chat with full codebase context, codebase-wide search, and custom commands for automating repetitive workflows. Enterprise features include admin controls, usage analytics, and self-hosted deployment options. The integration with Sourcegraph's code search platform means Cody has access to search indexes that no other AI assistant can query. Cody is available in VS Code, JetBrains IDEs, and as a web application. Pricing has a free tier for individual developers. The Pro plan at $9/month adds unlimited completions and advanced features. Cody is best for teams that already use or are considering Sourcegraph for code search—the combination provides a level of codebase intelligence no standalone AI tool can match. For teams without Sourcegraph, the standalone AI features are competent but less differentiated from Copilot or Cursor.
Key Features
- Code completion
- Chat
- Codebase-wide search
- Custom commands
- Enterprise admin
- Multi-IDE support
Deals, Discounts & How to Save
Maximize free tiers before subscribing—most AI editors have generous free plans. Students should always apply for education discounts (often 50%+ off). If you use multiple IDEs, choose an editor with a permissive free tier to avoid paying twice.
Pros
- Deep codebase understanding
- Powered by Sourcegraph search
- Good enterprise features
Cons
- Less polished UI
- Smaller community
- Enterprise focus may slow features
Pro Tips for Cody
Use code completion regularly—it becomes more accurate the more context it has about your coding patterns and project structure.
Configure chat in your project settings to match your team conventions—consistent configuration produces better results.
Combine codebase-wide search with keyboard shortcuts to minimize context switching between thinking and coding.
Use custom commands regularly—it becomes more accurate the more context it has about your coding patterns and project structure.
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