Sourcegraph Cody is an AI coding assistant built on top of Sourcegraph's powerful code search and intelligence platform, designed to provide context-aware AI assistance that understands entire codebases rather than just individual files. Sourcegraph was founded in 2013 by Quinn Slack and Beyang Liu, and is headquartered in San Francisco, California. The company originally established itself as the leading code search and navigation platform, and Cody extends those capabilities with AI that has deep, comprehensive understanding of code repositories. Cody's primary differentiator is its ability to retrieve relevant context from across an entire codebase using Sourcegraph's code graph and search infrastructure. When a developer asks Cody a question or requests code generation, it automatically searches the full repository to find the most relevant code, documentation, and architectural patterns, providing responses that are grounded in the actual codebase rather than generic training data. This context-awareness makes Cody particularly effective for large, complex codebases where understanding cross-file dependencies and organizational conventions is critical. Cody provides autocomplete suggestions as developers type, a chat interface for asking questions about code and requesting explanations or modifications, and inline editing commands for refactoring and generating code. It supports multiple LLM backends including Claude, GPT-4, Gemini, and Mixtral, allowing organizations to choose their preferred model or use different models for different tasks. Cody is available as extensions for VS Code, JetBrains IDEs, Neovim, and the Sourcegraph web interface. Sourcegraph offers Cody Free with limited usage, Cody Pro at $9 per month for individual developers with higher limits, and Cody Enterprise with custom pricing that includes full Sourcegraph code search, multi-repository context, custom model selection, and enterprise security features including SSO, audit logs, and self-hosted deployment options.
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