Coding assistant

Commercial with open componentsCheck project termsUpdated June 2026

Sourcegraph Cody

Sourcegraph's AI coding assistant for understanding codebases, answering code questions, and helping with code generation and edits in developer workflows.

Intermediate · VS Code or JetBrains IDE extension connecting to Sourcegraph Cloud, Sourcegraph Enterprise, or a self-managed Sourcegraph instance

Editorial review

Reviewed byOpenSourcesAI EditorialLast updatedJune 2026SourcesSourcegraph Cody

Tool categories, pricing, source status, deployment options, and product claims can change quickly. Verify the official source before production or commercial use.

About Sourcegraph Cody

Sourcegraph's AI coding assistant for understanding codebases, answering code questions, and helping with code generation and edits in developer workflows.

Best for: Developers and teams that already run Sourcegraph for code search and need an AI coding assistant grounded in cross-repository context — not limited to locally cloned files or the files open in the current editor.

Deployment: VS Code or JetBrains IDE extension connecting to Sourcegraph Cloud, Sourcegraph Enterprise, or a self-managed Sourcegraph instance

Skill level: Intermediate

Tradeoffs

Full cross-repository capabilities require Sourcegraph Enterprise or Sourcegraph.com access — the value proposition degrades significantly without the Sourcegraph search index backing it. Not ideal as a standalone coding assistant without Sourcegraph already in the workflow. Licensing and data handling differ from fully open-source tools; review terms before adoption.

Related guides and resources

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Best for

Developers and teams that already run Sourcegraph for code search and need an AI coding assistant grounded in cross-repository context — not limited to locally cloned files or the files open in the current editor.

Why use it

Cody's key architectural advantage is access to Sourcegraph's code graph and search index. When a developer asks about a function that lives in a different repository or in code not locally cloned, Cody retrieves the relevant context through Sourcegraph's cross-repo indexing — something standard RAG over local files cannot replicate. This makes it especially valuable in large monorepos or multi-service architectures.

Key features

  • Cross-repository context retrieval via Sourcegraph's code graph and search index — not limited to locally checked-out files
  • Precise code navigation context including symbol definitions, call sites, and dependency relationships across the codebase
  • VS Code and JetBrains IDE extensions with inline completions, chat interface, and edit commands
  • Enterprise deployment options with Sourcegraph-hosted or self-managed instance and configurable model backend

Tradeoffs

Full cross-repository capabilities require Sourcegraph Enterprise or Sourcegraph.com access — the value proposition degrades significantly without the Sourcegraph search index backing it. Not ideal as a standalone coding assistant without Sourcegraph already in the workflow. Licensing and data handling differ from fully open-source tools; review terms before adoption.

Alternatives

  • Continue
  • Tabby
  • Aider

Official verification sources

Direct official links used to verify pricing, features, security claims, and product packaging.

CategoryCoding assistantLicenseCheck project termsDeploymentVS Code or JetBrains IDE extension connecting to Sourcegraph Cloud, Sourcegraph Enterprise, or a self-managed Sourcegraph instanceModeCloud and enterprise options
Official site

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Commercial and source disclosure

Sourcegraph Cody is listed as Commercial with open components. OpenSourcesAI may earn a commission if readers sign up through partner or affiliate links. Partner status does not replace independent evaluation.

  • Verify current pricing, product claims, data handling, security terms, and cancellation rules on the official site.
  • Do not treat this listing as an endorsement, sponsorship, or legal/compliance review.
  • Commercial tools should be compared against open-source, local-first, self-hosted, and built-in alternatives when those alternatives fit the workflow.