Sourcegraph Cody is an AI‑powered conversational assistant built directly into the Sourcegraph code‑search platform, enabling developers to ask natural‑language questions about any repository and instantly receive precise code snippets, documentation, and context‑aware recommendations.
- Natural‑language code search: Ask questions in plain English and get exact file locations, function definitions, and usage examples across all connected repositories.
- Context‑aware suggestions: Cody analyzes the surrounding codebase to propose edits, refactorings, or alternative implementations that fit the project's style.
- Multi‑repo awareness: Works across monorepos and federated repos, surfacing relevant code even when it lives in different services or languages.
- Inline documentation retrieval: Pulls relevant README sections, comments, and API docs directly into the chat, reducing the need to switch tabs.
- Secure, permission‑respecting: Respects Sourcegraph's access controls, ensuring Cody only returns results the user is authorized to view.
Ideal for developers who spend hours navigating large codebases, Cody accelerates onboarding, debugging, and feature development by turning code search into a conversational experience.
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