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Sourcegraph Cody

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An intelligent coding assistant that leverages Sourcegraph’s code intelligence platform to provide context-aware development help.

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Added: Mar 03, 2026

Updated: Mar 31, 2026

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Home » Coding & Development Tools » Sourcegraph Cody

See Sourcegraph Cody in Action

About Sourcegraph Cody

What Is Sourcegraph Cody?

Sourcegraph Cody is a sophisticated AI assistant designed for “big code” environments. It differentiates itself from standard autocomplete tools by connecting to your company’s entire code graph, allowing it to understand relationships across thousands of repositories, microservices, and documentation. In 2026, it serves as the intelligence layer for both human developers and autonomous AI agents navigating complex technical debt.

Where You Can Use It

Cody is primarily accessed via official extensions for IDEs like VS Code, JetBrains, and Visual Studio. It is also available through the Sourcegraph Web platform for cross-repository research and code navigation. For automation, its features are exposed through a robust API and the Model Context Protocol (MCP), allowing it to power custom internal tools and CI/CD workflows.

What It’s Known For

Cody is most famous for its “Zero-Hallucination” context engine, which uses Sourcegraph’s Deep Search to feed the AI specific snippets of your actual code instead of relying on general training data. It is highly regarded for its flexibility, allowing enterprise teams to switch between leading models like Claude 3.7 or GPT-4o. Following its transition to an enterprise-exclusive model, it has become the gold standard for large-scale “Batch Changes”—allowing teams to automate refactoring across an entire organization’s codebase simultaneously.

Features

AI Code Tools

AI code tools help developers write, debug, and understand code faster across the development process.

AI Document Summarization

AI document summarization tools extract key points from long documents to save time reading.

AI Integrations

AI integrations connect AI tools with existing platforms to streamline workflows and automation.

AI Natural Language Processing

AI natural language processing helps software understand, analyze, and work with human language.

AI Team Collaboration

AI team collaboration tools support shared workspaces and structured teamwork around AI workflows.

AI Text Summarization

AI text summarization tools condense long text into clear, easy-to-read summaries.

Use Cases

App Creation

App creation AI tools help:

build apps faster with less code
generate app logic and UI components
automate repetitive development tasks
support rapid prototyping and testing

These tools simplify app development and help teams launch products faster.

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Automation

Automation AI tools help:

automate repetitive tasks and workflows
connect apps and systems together
reduce manual work across operations
scale processes with minimal effort

These tools streamline operations and help teams work more efficiently.

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Development

Development AI tools help:

write, debug, and refactor code faster
understand existing codebases more easily
automate repetitive development tasks
improve productivity across the development lifecycle

These tools help teams build, test, and ship software more efficiently.

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Research

Research AI tools help:

analyze large volumes of information
summarize papers and key findings
discover patterns and insights faster
reduce time spent on manual research

These tools help researchers work more efficiently and focus on analysis instead of data gathering.

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Startups

Startups AI tools help:

build and validate products faster
automate operations with small teams
support data-driven decisions
scale workflows efficiently

These tools help startups move faster and compete with limited resources.

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Website Creation

Website creation AI tools help:

build websites faster with less technical effort
generate layouts, pages, and content
customize design and structure easily
automate setup and publishing tasks

These tools help users launch and manage websites more efficiently.

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Pricing

Amp

$10

Per Month

Features:

At-Cost Pricing: You pay exactly what the LLM providers (Anthropic, OpenAI, Google) charge Sourcegraph, with no additional markup.
Model Choice: Switch between Claude 4.5, GPT-5.1, and Gemini 3 Pro.
Unlimited Autocomplete: Basic completions remain free (or extremely low cost) for most users to encourage usage.
Full Context Awareness: Uses Sourcegraph’s core “Cody” engine to index your local files and remote repositories.
No Monthly Subscription: You only pay for the “Premium Requests” (Chat, large refactors, and multi-file edits) you actually use.

Amp for Teams

$19

Per Month

Features:

Pooled Credits: Team members share a bucket of credits to prevent individual lockouts.
Context-Driven Onboarding: AI-powered “tours” of the codebase for new hires based on your repository history.
Shared Prompts: Create a library of custom prompts (e.g., “Review this code for German GDPR compliance”) that the whole team can use.
Jira & Slack Integration: The AI can read ticket descriptions to understand the why behind the code it’s writing.
Priority Indexing: Faster processing of large monorepos.

Cody Enterprise

$59

Per Month

Features:

Unlimited Usage: No credit caps for chat or agents within the enterprise environment.
Self-Hosting / Air-Gapped: Deploy Sourcegraph and Cody on your own infrastructure (AWS, GCP, or on-prem) for maximum security.
Zero Data Retention: Guaranteed that no data is used for model training.
Cross-Repo Intelligence: The AI can reason across hundreds of different repositories to find dependencies or similar implementations.
Custom Model Fine-tuning: Ability to fine-tune a model specifically on your company’s proprietary coding standards and private libraries.

Pricing information is provided for reference only and may change.
For the most up-to-date pricing, please visit the official website .

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