Cody by Sourcegraph Tutorial: Get Started in 5 Minutes [2026]

What it does:

Unlike tools that only see your open file, Cody uses Sourcegraph's code intelligence platform to index and search across all your repositories, providing AI suggestions informed by your entire codebase's patterns, APIs, and conventions.

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What it does:

Choose from multiple frontier AI models including Claude (Anthropic), GPT-4o (OpenAI), Gemini (Google), and others. Enterprise customers can bring their own API keys for maximum flexibility and cost control.

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What it does:

Proactively suggests contextual code modifications by analyzing cursor movements and editing patterns, going beyond traditional autocomplete to anticipate multi-line changes.

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What it does:

Native extensions for VS Code, JetBrains IDEs (IntelliJ, WebStorm, GoLand, PyCharm, etc.), Visual Studio, and Neovim provide a consistent AI coding experience across development environments.

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What it does:

Create, save, and share reusable prompts that automate team-specific tasks — from test generation templates to code review checklists — enabling standardized AI-assisted development practices.

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What it does:

Enterprise-grade attribution checking identifies when generated code closely matches known open-source code, flagging potential licensing issues before code is committed to your repositories.

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What it does:

Sourcegraph's Amp extends Cody's intelligence into an autonomous coding agent that enables multi-step task execution with parallel subagents and team thread sharing for collaborative agentic workflows.

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What it does:

Administrators can exclude specific repositories from AI interactions, enforce data residency policies, and configure permission-aware context to ensure AI suggestions respect your organization's access controls.

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