Cody AI is an advanced AI-powered coding assistant developed by Sourcegraph, designed to enhance the efficiency and accuracy of software development. This tool leverages generative artificial intelligence (AI) and graph technologies to provide developers with real-time code suggestions, autocompletion, and contextual assistance. By integrating these technologies, Cody AI significantly improves the coding experience, allowing developers to focus on higher-level thinking and problem-solving.
Features
Cody AI offers a robust suite of features aimed at optimizing the software development process. Below is a detailed overview of its functionalities:
| Feature | Description |
|---|---|
| Contextual Code Intelligence | Multi-file awareness for suggestions that align with the entire codebase's structure and integration with Sourcegraph's code search capabilities. |
| Large Language Model (LLM) Support | Supports multiple LLMs for code generation and error fixing, with the default being Claude 3 Sonnet for faster responses. |
| Custom Commands | Allows users to create commands that automate repetitive tasks, such as documentation and comment writing. |
| Graph Technology Integration | Utilizes graph technology for semantic understanding, allowing for more relevant code suggestions. |
| Inline Completions and Editing | Provides inline code completions and a codebase-aware chat feature to resolve issues quickly. |
| Enhanced Accuracy and Speed | Approximately 75% increase in code insert rate with the new Claude 3 models, improving code quality significantly. |
| Future Enhancements | Upcoming versions will leverage a deeper integration with the Sourcegraph universal code graph for improved autocomplete suggestions. |
Use cases
Cody AI can be employed in various scenarios to streamline the coding process and enhance productivity. Some potential use cases include:
- Real-time Code Assistance: Developers can utilize Cody AI during coding sessions to receive instant suggestions and autocompletions, reducing the time spent on routine coding tasks.
- Code Refactoring: Cody’s contextual understanding allows developers to refactor code efficiently by suggesting improvements based on the entire codebase.
- Learning and Onboarding: New developers can take advantage of Cody AI to familiarize themselves with a project’s structure and coding standards through contextual suggestions and explanations.
- Automating Documentation: By creating custom commands, teams can automate the generation of documentation or comments, saving time and ensuring consistency across the codebase.
How to get started
To begin using Cody AI, developers can download the extension for supported Integrated Development Environments (IDEs) such as Visual Studio Code (VS Code) and JetBrains. An experimental offering is also available for Neovim. Cody AI is available in both free and professional editions, with the professional edition (Cody Pro) currently available for free until February 2024, after which it will be offered at a cost of $9 per month. Interested users can visit Sourcegraph's website for more information and to access the installation instructions.
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Pricing Structure for Cody AI
The pricing for Cody AI is structured into three tiers as follows:
- Free Tier: Available for individual developers with local context only, with monthly limits on autocomplete and chat.
- Cody Pro Tier: $9 per user per month, with no monthly limits and the ability to choose the LLM provider.
- Cody Enterprise Tier: $19 per user per month (or $39 per user per month, depending on the source).
Note: Pricing is an indication and may vary over time.