Cody by Sourcegraph

Sourcegraph documentation introduces Cody and describes Sourcegraph as a code intelligence platform.

sourcegraph.com/docs/cody
Cody by Sourcegraphsourcegraph.com/docs/codyVisit site

About Cody by Sourcegraph

Cody by Sourcegraph is an AI coding assistant that helps understand, write, and fix code. It pulls context from local and remote codebases using Sourcegraph's Search API, including APIs, symbols, and usage patterns, and connects with GitHub and GitLab.

It is available for VS Code, JetBrains, Visual Studio, the Sourcegraph web app, and via the command line. Visual Studio support is listed as experimental, and Sourcegraph Enterprise access requires contacting the team.

Key features

  • Chat to ask about code, generate code, and edit code
  • Use @ to add files, symbols, and remote repos as context
  • Auto-edit proposes changes based on cursor position and edits
  • Customizable prompts to automate and share common tasks
  • Exclude selected repositories from chat and autocomplete results
  • Pull context from local and remote codebases for answers
Best for: Developers who work with GitHub or GitLab code in VS Code, JetBrains, Visual Studio, or the Sourcegraph web app.
Good for
  • Works in VS Code, JetBrains, Visual Studio, web app, and command line
  • Pulls context from local and remote codebases for chat
  • Connects with GitHub and GitLab and works with Code Search
Watch out for
  • Visual Studio extension is marked as experimental
  • Enterprise use requires contacting the Sourcegraph team
  • Collects prompts, responses, usage data, and feedback to provide the service

Cody by Sourcegraph at a glance

Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Cody by Sourcegraph FAQ

What data is collected, and how is it used?
Sourcegraph collects prompts and responses to provide the service. For individuals using Cody via Sourcegraph.com, it may use prompts and responses to enhance the user experience and states it does not use data to train models. It also collects usage data and feedback to improve the user experience.
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