What is Refact.ai?
Refact.ai delivers a comprehensive AI-powered coding solution that combines Retrieval-Augmented Generation (RAG) and fine-tuning capabilities to enhance developer productivity. The platform leverages the entire coding environment to provide accurate code suggestions and integrates seamlessly with popular IDEs.
The solution offers access to over 20 large language models, including Mistral, Llama3, GPT-4, and Code LLama, with support for 25+ programming languages. Organizations can deploy Refact.ai either through cloud services or on-premise installations, ensuring data security and control while maintaining detailed productivity metrics.
Features
- Context-Aware Code Completion: Utilizes RAG and fine-tuning for accurate code suggestions
- In-IDE Chat Integration: Direct code-aware communication within the development environment
- Customizable Toolbox: Features for code explanation, summarization, refactoring, and documentation
- Multiple LLM Support: Access to 20+ language models with fine-tuning options
- Security Focus: On-premise deployment option with complete data control
- Performance Metrics: Detailed tracking of productivity gains and code generation statistics
Use Cases
- Code completion and suggestions
- Code documentation generation
- Bug detection and fixing
- Code refactoring and optimization
- Team collaboration through in-IDE chat
- Custom codebase training and fine-tuning
FAQs
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What IDEs does Refact.ai support?
Refact.ai supports multiple IDEs including VS Code, JetBrains suite (PyCharm, WebStorm, GoLand, IntelliJ, CLion), Visual Studio, Neovim, and Sublime Text. -
How secure is Refact.ai for enterprise use?
Refact.ai offers on-premise deployment options where data never leaves company control, and the code is open-source for verification. All telemetry from plugins goes only to your server. -
What programming languages does Refact.ai support?
Refact.ai supports over 25 programming languages, making it versatile for different development needs.
