AI Coding Assistants
SyncLabs
Get AI-powered coding assistance with Cody by Sourcegraph. Write, explain, and fix code faster with this AI coding assistant.
Tags:AI Coding AssistantsIntroduction to Sourcegraph Cody
Sourcegraph Cody is an AI-powered coding assistant designed to enhance developer productivity by providing intelligent code suggestions, autocompletion, and context-aware assistance. It integrates seamlessly with popular Integrated Development Environments (IDEs) and supports various programming languages. Cody leverages advanced search functionalities and large language models (LLMs) to assist developers in writing, understanding, and fixing code more efficiently.
Key Features
- Chat Interface: Engage in conversations with Cody to ask questions about your codebase, generate code snippets, and receive explanations or modifications. Cody utilizes context from your open files and repositories to provide accurate assistance.
- Autocompletion: As you write code, Cody offers single-line and multi-line suggestions, accelerating coding speed and reducing errors. These suggestions are contextually relevant, leveraging the understanding of your codebase.
- Inline Edits: Highlight code segments and describe desired changes; Cody will generate the corresponding code modifications directly within your files, facilitating quick refactoring and updates.
- Customizable Prompts: Create and share prompts to automate repetitive tasks, ensuring consistency and adherence to best practices across development teams.
- Model Flexibility: Choose from various Large Language Models (LLMs) optimized for different needs, allowing you to balance speed and accuracy based on your project requirements.
How to Use Cody
To start using Cody, follow these steps:
- Install the Cody Extension: Depending on your preferred IDE, install the appropriate Cody extension:
- Connect to a Sourcegraph Instance: Link the Cody extension to your Sourcegraph instance, either sourcegraph.com or a private Sourcegraph Enterprise deployment, to access your codebase.
- Start Interacting with Cody: Once connected, you can use Cody’s features directly within your IDE. Highlight code segments to get explanations, suggestions, or modifications.
Pricing Plans
Sourcegraph offers several pricing plans for Cody to cater to different user needs:
- Free Plan: Ideal for hobbyists or light usage, this plan includes:
- Unlimited autocompletion suggestions
- 200 chats/prompts per month
- Access to various LLMs for chat
- Local codebase context
- Pro Plan ($9/month): Designed for professional developers, this plan offers:
- All features of the Free Plan
- Enhanced LLM options
- Increased chat limits
- Enterprise Starter Plan ($19/user/month): Tailored for growing organizations, this plan provides:
- All features of the Pro Plan
- Code search capabilities
- Support for up to 50 developers
- Private workspace and indexed code
- Enterprise Plan ($59/user/month): For large teams requiring advanced features, this plan includes:
- All features of the Enterprise Starter Plan
- Batch changes and code insights
- Remote codebase context
- 24×5 support and premium offerings
Frequently Asked Questions (FAQ)
- What is Sourcegraph Cody?
- Sourcegraph Cody is an AI-powered coding assistant that helps developers write, understand, and fix code faster by providing intelligent suggestions and context-aware assistance.
- Which IDEs are supported?
- Cody supports various IDEs, including Visual Studio Code, JetBrains, and Visual Studio. Additional IDEs may be supported in the future.
- Can Cody be used with any programming language?
- Yes, Cody is designed to work with any programming language, as it utilizes large language models trained on broad data.
- Is my code secure when using Cody?
- Sourcegraph implements strict security controls, including full data isolation, zero retention, no model training, detailed audit logs, and controlled access to ensure the security of your code.
- Can I customize Cody’s behavior?
- Yes, Cody allows users to create and share custom prompts to automate repetitive tasks and tailor its behavior to specific workflows.
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