• Deep codebase context via Sourcegraph's Code Search API, pulling relevant symbols and usage patterns across entire codebases for more accurate suggestions
• Multi-LLM support lets users choose between Claude, GPT-4o, Gemini and other models, and enterprise customers can bring their own keys
• Wide IDE coverage including VS Code, JetBrains, Visual Studio (experimental), a web interface in the Sourcegraph platform, and CLI access
• Strong fit for large monorepos and polyrepo enterprise environments where cross-repository context is critical for accurate AI assistance
• Customizable prompts and commands let teams encode standardized workflows (test generation, code review checklists, documentation) as reusable templates
• Enterprise-grade governance with SSO, audit logs, repo permission-aware context, and guardrails for compliance-sensitive industries

⚠️ Consider This

• Full enterprise context features require deploying and configuring Sourcegraph's code intelligence platform, which adds operational overhead
• Free tier usage limits are more restrictive than some competitors like GitHub Copilot's free offering
• Maximum value requires proper codebase indexing setup — context quality scales with indexing completeness
• Smaller extension marketplace compared to GitHub Copilot's broader third-party integration ecosystem
• Amp (the agentic evolution) is a separate product requiring additional onboarding and different workflows from the core Cody experience

What Users Say About Cody by Sourcegraph

👍 What Users Love

✓Deep codebase context via Sourcegraph's Code Search API, pulling relevant symbols and usage patterns across entire codebases for more accurate suggestions
✓Multi-LLM support lets users choose between Claude, GPT-4o, Gemini and other models, and enterprise customers can bring their own keys
✓Wide IDE coverage including VS Code, JetBrains, Visual Studio (experimental), a web interface in the Sourcegraph platform, and CLI access
✓Strong fit for large monorepos and polyrepo enterprise environments where cross-repository context is critical for accurate AI assistance
✓Customizable prompts and commands let teams encode standardized workflows (test generation, code review checklists, documentation) as reusable templates
✓Enterprise-grade governance with SSO, audit logs, repo permission-aware context, and guardrails for compliance-sensitive industries

👎 Common Concerns

⚠Full enterprise context features require deploying and configuring Sourcegraph's code intelligence platform, which adds operational overhead
⚠Free tier usage limits are more restrictive than some competitors like GitHub Copilot's free offering
⚠Maximum value requires proper codebase indexing setup — context quality scales with indexing completeness
⚠Smaller extension marketplace compared to GitHub Copilot's broader third-party integration ecosystem
⚠Amp (the agentic evolution) is a separate product requiring additional onboarding and different workflows from the core Cody experience
⚠Enterprise deployment complexity can be significant for smaller teams without dedicated DevOps resources
⚠Learning curve to leverage advanced features like custom prompts, context filters, and @-mentions effectively

Pricing FAQ

How does Cody understand my entire codebase unlike other AI coding tools?

Cody uses Sourcegraph's code intelligence platform to index and search across all your repositories, providing full codebase context awareness that goes far beyond just the open file.

Which AI models does Cody support?

Cody supports multiple frontier LLM models including Claude by Anthropic, GPT-4o by OpenAI, Gemini by Google, and other leading models. Enterprise customers can bring their own API keys for additional model flexibility.

What is the difference between Cody and Amp?

Cody is Sourcegraph's AI coding assistant integrated into your IDE, providing chat, code completions, and auto-edit features. Amp is Sourcegraph's next-generation agentic coding product that builds on Cody's context engine to enable autonomous multi-step task execution.

Does Cody work with private repositories and on-premises code?

Yes. Cody works with any repository accessible to your Sourcegraph instance, including private repos and on-premises code hosts. Enterprise deployments support air-gapped environments.

How does Cody's code attribution checking work?

Enterprise Cody includes attribution checking that compares AI-generated code against known open-source repositories to identify potential licensing issues before code is committed.

Can I use Cody for free?

Yes. Cody offers a free tier with code completions, AI chat, and IDE extensions for VS Code, JetBrains, and other editors. The Pro plan at $9/month per user provides higher limits and broader model access.

What IDEs and editors does Cody support?

Cody has official extensions for VS Code, JetBrains IDEs (IntelliJ, WebStorm, GoLand, PyCharm, etc.), Visual Studio, and Neovim.

Is my code safe when using Cody?

Sourcegraph employs strict security controls including full data isolation, zero data retention policies for LLM providers, SOC 2 compliance, and enterprise options for self-hosted deployments.

Ready to Get Started?

AI builders and operators use Cody by Sourcegraph to streamline their workflow.

Try Cody by Sourcegraph Now →

More about Cody by Sourcegraph

Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

Compare Cody by Sourcegraph Pricing with Alternatives

GitHub Copilot Workspace Pricing

GitHub's AI development environment that transforms issue descriptions into complete features with planning, coding, testing, and pull request generation.

Compare Pricing →

Cursor Pricing

AI-native code editor (VS Code fork) with Tab autocomplete, Agent mode, and Composer multi-file edits. Used by 1M+ developers and 53% of Fortune 500 companies as of 2025. Free tier includes 2,000 completions; Pro is $20/month.

Compare Pricing →

Devin Pricing

AI software engineer that codes, fixes bugs, and ships features autonomously. Builds full applications end-to-end with minimal supervision.

Compare Pricing →

Tabnine Pricing

Privacy-focused AI code completion that runs locally or in your cloud — delivering intelligent suggestions across 30+ languages without exposing source code to external servers, built for regulated industries and security-conscious dev teams.

Compare Pricing →

Is Cody by Sourcegraph Worth It?

✅ Why Choose Cody by Sourcegraph

• Deep codebase context via Sourcegraph's Code Search API, pulling relevant symbols and usage patterns across entire codebases for more accurate suggestions
• Multi-LLM support lets users choose between Claude, GPT-4o, Gemini and other models, and enterprise customers can bring their own keys
• Wide IDE coverage including VS Code, JetBrains, Visual Studio (experimental), a web interface in the Sourcegraph platform, and CLI access
• Strong fit for large monorepos and polyrepo enterprise environments where cross-repository context is critical for accurate AI assistance
• Customizable prompts and commands let teams encode standardized workflows (test generation, code review checklists, documentation) as reusable templates
• Enterprise-grade governance with SSO, audit logs, repo permission-aware context, and guardrails for compliance-sensitive industries

⚠️ Consider This

• Full enterprise context features require deploying and configuring Sourcegraph's code intelligence platform, which adds operational overhead
• Free tier usage limits are more restrictive than some competitors like GitHub Copilot's free offering
• Maximum value requires proper codebase indexing setup — context quality scales with indexing completeness
• Smaller extension marketplace compared to GitHub Copilot's broader third-party integration ecosystem
• Amp (the agentic evolution) is a separate product requiring additional onboarding and different workflows from the core Cody experience

What Users Say About Cody by Sourcegraph

👍 What Users Love

✓Deep codebase context via Sourcegraph's Code Search API, pulling relevant symbols and usage patterns across entire codebases for more accurate suggestions
✓Multi-LLM support lets users choose between Claude, GPT-4o, Gemini and other models, and enterprise customers can bring their own keys
✓Wide IDE coverage including VS Code, JetBrains, Visual Studio (experimental), a web interface in the Sourcegraph platform, and CLI access
✓Strong fit for large monorepos and polyrepo enterprise environments where cross-repository context is critical for accurate AI assistance
✓Customizable prompts and commands let teams encode standardized workflows (test generation, code review checklists, documentation) as reusable templates
✓Enterprise-grade governance with SSO, audit logs, repo permission-aware context, and guardrails for compliance-sensitive industries

👎 Common Concerns

⚠Full enterprise context features require deploying and configuring Sourcegraph's code intelligence platform, which adds operational overhead
⚠Free tier usage limits are more restrictive than some competitors like GitHub Copilot's free offering
⚠Maximum value requires proper codebase indexing setup — context quality scales with indexing completeness
⚠Smaller extension marketplace compared to GitHub Copilot's broader third-party integration ecosystem
⚠Amp (the agentic evolution) is a separate product requiring additional onboarding and different workflows from the core Cody experience
⚠Enterprise deployment complexity can be significant for smaller teams without dedicated DevOps resources
⚠Learning curve to leverage advanced features like custom prompts, context filters, and @-mentions effectively

Pricing FAQ

How does Cody understand my entire codebase unlike other AI coding tools?

Cody uses Sourcegraph's code intelligence platform to index and search across all your repositories, providing full codebase context awareness that goes far beyond just the open file.

Which AI models does Cody support?

What is the difference between Cody and Amp?

Does Cody work with private repositories and on-premises code?

Yes. Cody works with any repository accessible to your Sourcegraph instance, including private repos and on-premises code hosts. Enterprise deployments support air-gapped environments.

How does Cody's code attribution checking work?

Enterprise Cody includes attribution checking that compares AI-generated code against known open-source repositories to identify potential licensing issues before code is committed.

Can I use Cody for free?

What IDEs and editors does Cody support?

Cody has official extensions for VS Code, JetBrains IDEs (IntelliJ, WebStorm, GoLand, PyCharm, etc.), Visual Studio, and Neovim.

Is my code safe when using Cody?

Sourcegraph employs strict security controls including full data isolation, zero data retention policies for LLM providers, SOC 2 compliance, and enterprise options for self-hosted deployments.