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Refact AI — AI Coding Assistant

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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

  • Feature icon Accurate Code Completion
    Refact AI uses Retrieval-Augmented Generation and fine-tuning to provide context-aware code suggestions based on your entire coding environment.
  • Feature icon Integrated In-IDE Chat
    Ask questions and interact with the AI directly within your IDE, utilizing the context of your entire codebase for more relevant responses.
  • Feature icon Customizable Toolbox
    Access a set of tools for explaining, summarizing, refactoring code, writing documentation, and finding bugs, with the option to create custom commands.
  • Feature icon Multiple Language Model Options
    Choose from over 20 large language models for chat and code completion, including options like Mistral, Llama3, GPT-4, Code LLama, and StarCoder.
  • Feature icon On-Premise Deployment
    Deploy Refact AI on your own servers or private cloud to maintain control over your data and ensure code privacy.

Refact AI Pros and Cons

Pros
  • Circle checkmark icon Supports 25+ programming languages
  • Circle checkmark icon Offers code completion and refactoring
  • Circle checkmark icon Provides context-aware chat functionality
  • Circle checkmark icon Can be deployed on-premises for data control
Cons
  • Cross icon Limited user feedback available
  • Cross icon Requires setup and fine-tuning for optimal use
  • Cross icon May have a learning curve for new users
  • Cross icon Effectiveness may vary depending on codebase

Pricing

Free Trial
Free $0/mo
  • Circle check icon Code completions powered by Refact 1.6 model
  • Circle check icon In-IDE Chat powered by GPT-3.5
  • Circle check icon Toolbox (F1) with in-line code commands
  • Circle check icon 2048 context length for completions
  • Circle check icon 4096 context length for chat
  • Circle check icon Data training on permissively licensed code
  • Circle check icon Self-hosting option available
  • Circle check icon Discord support
Pro $10/mo
  • Circle check icon Code completions powered by StarCoder2-3B model
  • Circle check icon More AI models for in-IDE Chat: GPT-4 Turbo, GPT-4o, Claude 3.5 Sonnet
  • Circle check icon More AI models for Toolbox
  • Circle check icon x2 context length for completions
  • Circle check icon x4 context length for chat
  • Circle check icon Codebase-aware AI for code completions and chat (RAG)
Enterprise Price not available
  • Circle check icon LLM fine-tuning: Train AI models on your organization's codebase and data
  • Circle check icon Optimized for multiple GPUs with load sharing
  • Circle check icon Access control for detailed statistics
  • Circle check icon On-prem or private cloud deployment
  • Circle check icon Complete code privacy with zero telemetry leaving
  • Circle check icon Priority support
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