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Refact.ai

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Introduction

AI code refactoring and review tool

Added on: Jan 07, 2026

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Refact.ai Product Information

Refact.ai Overview

Refact.ai is an open-source AI coding assistant that can be self-hosted, making it particularly attractive for development teams at organizations with strict data privacy requirements or those that cannot send source code to external AI services. It provides code completion, refactoring suggestions,...

This product stands out with features such as:

  • AI Code Completion: Intelligent code completion as you type
  • Self-Hostable: Run entirely on your own infrastructure with no external data transfer
  • Open Source: Full source code available for audit and customization
  • Code Chat: AI conversation about your codebase and programming questions
  • Refactoring Assistance: Suggestions for improving and refactoring existing code
  • Multiple IDE Support: Works with VS Code, JetBrains IDEs, and others
  • Custom Models: Use your own fine-tuned models or open-source alternatives
  • Privacy First: Code never leaves your environment when self-hosted

How to Use Refact Ai

Get started in a few simple steps

1

Deploy Your Instance

Set up Refact.ai on your own server using the Docker deployment instructions. Configure your chosen AI model - either a cloud API or a locally running open-source model.

2

Install the IDE Plugin

Install the Refact.ai plugin for VS Code, JetBrains, or your preferred IDE. Connect it to your self-hosted instance using your server URL and credentials.

3

Code with AI Assistance

Use Refact.ai like any AI coding assistant - get completions as you type, ask questions about your code in the chat, and request refactoring suggestions for existing code.


Refact.ai's Core Features in Detail

Powerful features from Refact.ai

Self-Hosted Privacy

For organizations that cannot send source code to external services - financial institutions, healthcare companies, defense contractors - self-hosted Refact.ai provides AI coding assistance within their own security perimeter

Open Source Auditability

Security-conscious teams can audit the Refact.ai source code to understand exactly what it does with their code - which is not possible with closed-source AI coding tools

Custom Model Flexibility

Running your own instance means you can use open-source models like Code Llama rather than being locked into a specific vendor's model

Cost Control

Self-hosting with open-source models eliminates per-query API costs that can become significant for large development teams with heavy AI tool usage


Refact.ai Use Cases

Discover how Refact.ai can benefit different users

Security-Conscious Development Teams

Teams at financial institutions, healthcare companies, and other regulated industries use Refact.ai for AI coding assistance without the compliance risk of sending code to external services

Open Source Advocates

Development teams committed to open-source tooling use Refact.ai because the entire system - including the AI assistant - is open and auditable

Cost-Sensitive Teams

Large development organizations that want AI coding assistance without significant ongoing API costs use Refact.ai self-hosted with open-source models