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Cody by Sourcegraph

The AI coding assistant that understands your entire codebase

Freemium
Cody by Sourcegraph is built on a fundamentally different premise from other AI coding tools: instead of working with just the file you have open, Cody reads your entire codebase to provide contextually accurate suggestions, explanations, and code generation. Powered by Claude and other frontier LLMs, Cody understands your project's architecture, internal APIs, naming conventions, and existing patterns. When you ask it to write a new feature, it generates code that actually fits your codebase — not generic boilerplate. Cody integrates natively with VS Code and all JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm), and also works inside Sourcegraph's own web interface. It offers inline code completions, natural language chat for coding questions, a Commands library for common tasks like writing unit tests and generating docstrings, and Custom Commands you can define for your team's unique workflows. For enterprises, Cody connects to private GitHub, GitLab, and Bitbucket repositories via Sourcegraph's code intelligence platform, ensuring the AI always has access to the latest version of your codebase without any data leaving your infrastructure. Cody is the coding assistant for teams who need AI that works within the complexity of real-world software — not just toy examples.

Key Features

  • Entire codebase context — not just the open file
  • Powered by Claude, GPT-4, Gemini, and other frontier LLMs (user-selectable)
  • Inline autocomplete for fast code suggestions
  • Natural language chat for explaining and writing code
  • Built-in commands: generate unit tests, write docstrings, explain code
  • Custom Commands for team-specific workflows
  • VS Code and all JetBrains IDEs support
  • Enterprise: private GitHub, GitLab, Bitbucket integration

Use Cases

  • Writing new features that integrate with existing codebase patterns
  • Understanding and navigating large, complex codebases
  • Generating accurate unit tests based on actual implementations
  • Onboarding new engineers to unfamiliar repositories
  • Automating repetitive code tasks with Custom Commands
  • Enterprise AI coding with on-premise data privacy
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