About Sourcegraph Cody

What is Sourcegraph Cody?

Sourcegraph Cody is an AI-powered coding assistant designed to enhance developer productivity by providing contextual code completions, inline code editing, and intelligent code suggestions. It integrates seamlessly with popular IDEs like VS Code, JetBrains, Visual Studio, and Eclipse, offering features such as chat-based interactions, customizable prompts, and support for multiple large language models (LLMs) like Claude 3.5 Sonnet, GPT-4o, and Mixtral. Cody's advanced search capabilities allow it to pull context from both local and remote codebases, enabling developers to work more efficiently across large and complex projects.

How to use Sourcegraph Cody?

To get started with Sourcegraph Cody:

  1. Visit sourcegraph.com/cody and sign up for an account.
  2. Install the appropriate extension for your preferred IDE (e.g., VS Code, JetBrains, Visual Studio, or Eclipse).
  3. Connect Cody to your code repositories and configure your development environment.
  4. Start using Cody's features, such as contextual code completions, inline editing, and chat-based interactions, to enhance your coding workflow.

What Are the Key Features of Sourcegraph Cody?

Contextual Code Completions

Provides fast single and multi-line code completions using Sourcegraph’s semantic code graph, reducing errors and improving coding speed.

Inline Code Editing

Allows developers to make code edits directly within the IDE, streamlining the development process.

Chat-Based Interactions

Enables developers to ask questions and receive explanations about their codebase through an interactive chat interface.

Customizable Prompts

Offers pre-made and customizable prompts to automate common tasks, saving time and ensuring consistency.

Support for Multiple LLMs

Integrates with various large language models, including Claude 3.5 Sonnet, GPT-4o, and Mixtral, allowing developers to choose the best model for their needs.

Enterprise-Grade Security

Provides flexible deployment options, including self-hosting, and ensures compliance with industry standards for data privacy and security.

Real-World Use Cases of Sourcegraph Cody

#1Accelerating development in complex codebases by providing contextual code suggestions.
#2Improving code quality and consistency through intelligent code completions and inline editing.
#3Enhancing team collaboration by sharing and reusing customizable prompts.
#4Streamlining onboarding for new developers by providing instant access to codebase context and documentation.
#5Automating common coding tasks, such as generating unit tests and refactoring code.

Sourcegraph Cody Integrations

VS Code
JetBrains
Visual Studio
Eclipse
GitHub
GitLab

Sourcegraph Cody Screenshots

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Disclaimer

This research has been compiled from credible sources and validated by industry experts. We welcome your feedback — feel free to share it at —contact@tooljunction.io