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.

AI Code Assistants

Sourcegraph Cody is an AI coding assistant distinguished by its deep codebase awareness, leveraging Sourcegraph's code search infrastructure to retrieve relevant context from across entire repositories. It provides autocomplete, chat, and inline editing with responses grounded in actual codebase patterns rather than generic suggestions, making it especially effective for large, complex codebases.

AI Code Generators

Cody generates code that is contextually appropriate for the specific codebase it is working with, using Sourcegraph's code graph to understand existing patterns, conventions, and dependencies. Developers can describe desired functionality and receive generated code that follows their project's architectural patterns and coding standards.

AI Code Review

Sourcegraph Cody assists with code review by explaining complex code changes, identifying potential issues, and providing context about how modifications relate to the broader codebase. Its ability to search across repositories gives it unique insight into cross-project impacts and dependency relationships during review.

AI Debugging Tools

Cody helps developers debug issues by analyzing error messages, searching the codebase for related code paths, and explaining complex logic. Its full-repository context awareness enables it to trace issues across multiple files and services, providing more comprehensive debugging assistance than AI tools limited to single-file context.