Introduction

This guide explains how to integrate Cody AI with your code editor and make the most of its features. Cody AI is a powerful coding assistant that enhances your development workflow with AI-powered capabilities.

Supported Editor Environments

Cody AI primarily supports VS Code and the full suite of JetBrains IDEs. Plugins for Emacs and Neovim are currently under development. Regardless of the editor choice, Cody's core functionalities remain consistent across platforms.

Core Features After Integration

Once integrated into your editor, Cody provides chat functionality for code understanding and analysis. It can:

• Answer questions about code
• Explain code functionality
• Locate functions and components
• Analyze code blocks
• Summarize recent changes
• Assist with debugging

Code Completion and Fixes

After integration, Cody offers intelligent code completion suggestions while you write. It:

• Understands context
• Interprets comment blocks and function names
• Generates complete functions directly in the editor
• Provides quick access to edit commands via Command + Shift + V for fixing, enhancing, or modifying code

Context Understanding Mechanism

Cody employs two methods for code comprehension:

1. Keyword Search

   • Searches current file and entire codebase
   • Provides immediate context-aware results

2. Code Embeddings

   • Vector representations capturing code and natural language semantics
   • Enables semantic similarity search beyond keywords

Custom Configuration Options

You can customize Cody through settings.json. Example configuration:

cody.dev.models: [
  {
    "provider": "google",
    "model": "gemini-2.0-flash-exp",
    "inputTokens": 1048576,
    "outputTokens": 8192,
    "apiKey": "<YOUR_API_KEY>"
  }
]

Data Security and Deployment Options

Cody offers flexible deployment options:

• Single-tenant cloud service
• Local environment deployment
• VPC deployment
• SOC 2 Type 2 compliance
• No data retention or training on user code

Enterprise Integration

For enterprise users, Cody supports:

• Custom enterprise API keys
• Private LLM connections through:
  • Amazon Bedrock
  • Azure OpenAI
  • Google Vertex AI
• Enterprise-grade security and control

Benefits of Integration

Cody seamlessly integrates into your development workflow, providing:

• Comprehensive code completion
• Deep code understanding
• AI-assisted functionality without workflow disruption
• Enhanced developer focus on core coding tasks

Getting Started

1. Install the appropriate plugin for your editor
2. Configure authentication
3. Customize settings as needed
4. Begin using Cody's features through the command palette or context menu

Best Practices

• Keep your Cody installation updated
• Review and adjust context settings for optimal performance
• Utilize keyboard shortcuts for efficient workflow
• Regularly check for new features and updates

Support and Resources

• Official Documentation: Sourcegraph Docs
• Community Forums: Sourcegraph Community
• Issue Tracking: GitHub Issues

Conclusion

Cody AI integration enhances your development environment with powerful AI-assisted features while maintaining security and workflow efficiency. Its flexible deployment options and enterprise-ready features make it suitable for both individual developers and large organizations.