What is Refact AI?
Refact AI is an AI-powered coding assistant that offers context-aware code completion, in-IDE chat, and a customizable toolbox for software developers working on complex projects. It speeds up coding by providing relevant suggestions based on the entire codebase, while its on-premise deployment option and fine-tuning capabilities make it suitable for companies with strict data security requirements.
What sets Refact AI apart?
Refact AI stands out with its ability to fine-tune models on a company's specific codebase, allowing software engineers to receive suggestions that match their unique coding style and practices. Supporting over 25 programming languages and integrating seamlessly with popular IDEs like VSCode and JetBrains, it's particularly helpful for developers working on large-scale projects with intricate codebases. Refact AI's adaptability makes it a valuable asset for teams looking to speed up their development process while maintaining consistency across diverse programming environments.
Refact AI Use Cases
- Code autocompletion
- In-IDE chat assistance
- Codebase-aware AI
- Custom AI commands
- Self-hosted deployment
Who uses Refact AI?
Features and Benefits
- Accurate Code CompletionRefact AI uses Retrieval-Augmented Generation and fine-tuning to provide context-aware code suggestions based on your entire coding environment.
- Integrated In-IDE ChatAsk questions and interact with the AI directly within your IDE, utilizing the context of your entire codebase for more relevant responses.
- Customizable ToolboxAccess a set of tools for explaining, summarizing, refactoring code, writing documentation, and finding bugs, with the option to create custom commands.
- Multiple Language Model OptionsChoose from over 20 large language models for chat and code completion, including options like Mistral, Llama3, GPT-4, Code LLama, and StarCoder.
- On-Premise DeploymentDeploy Refact AI on your own servers or private cloud to maintain control over your data and ensure code privacy.
Refact AI Pros and Cons
- Supports 25+ programming languages
- Offers code completion and refactoring
- Provides context-aware chat functionality
- Can be deployed on-premises for data control
- Limited user feedback available
- Requires setup and fine-tuning for optimal use
- May have a learning curve for new users
- Effectiveness may vary depending on codebase
Pricing
Free Trial- Code completions powered by Refact 1.6 model
- In-IDE Chat powered by GPT-3.5
- Toolbox (F1) with in-line code commands
- 2048 context length for completions
- 4096 context length for chat
- Data training on permissively licensed code
- Self-hosting option available
- Discord support
- Code completions powered by StarCoder2-3B model
- More AI models for in-IDE Chat: GPT-4 Turbo, GPT-4o, Claude 3.5 Sonnet
- More AI models for Toolbox
- x2 context length for completions
- x4 context length for chat
- Codebase-aware AI for code completions and chat (RAG)
- LLM fine-tuning: Train AI models on your organization's codebase and data
- Optimized for multiple GPUs with load sharing
- Access control for detailed statistics
- On-prem or private cloud deployment
- Complete code privacy with zero telemetry leaving
- Priority support