Refact.ai is a customizable AI coding assistant designed to boost developers' productivity by up to 45%. It offers accurate auto-completion using Retrieval-Augmented Generation (RAG), integrated in-IDE chat for instant support, and a personalized toolbox for code refactoring and documentation. With support for over 25 programming languages, it allows users to choose from 20+ large language models, ensuring tailored solutions. Refact.ai can be deployed on-premise or in the cloud, guaranteeing complete control over data security. The productivity gains are measurable, making it a valuable addition to any software development team.
Elevate your coding experience with a powerful AI assistant
Refact.ai utilizes advanced AI techniques to enhance coding efficiency through various features:
Accurate Auto-completion: By leveraging Retrieval-Augmented Generation (RAG), Refact.ai analyzes the existing codebase and suggests the most relevant code snippets based on context. This method ensures that developers receive precise suggestions tailored to their current work.
Integrated In-IDE Chat: The in-IDE chat allows developers to interact with Refact.ai seamlessly. By selecting code and asking for modifications or explanations, developers can receive immediate assistance without leaving their coding environment.
Personalized Toolbox: The customizable toolbox enables developers to create specific commands and functionalities that cater to their unique coding needs. This flexibility enhances the overall coding experience by providing personalized tools.
Support for Multiple LLMs: Refact.ai allows users to choose from various large language models, enabling them to select the best fit for their coding style and needs. This adaptability contributes to more effective code generation and assistance.
Data Security: Refact.ai can be deployed on-premise, ensuring that sensitive code and data remain secure within the organization's infrastructure. This feature is crucial for companies concerned about data privacy and security.
Productivity Measurement: Refact.ai provides tools to measure the productivity gains of developers, allowing organizations to track the effectiveness of the AI assistant in real-time. This data-driven approach ensures continuous improvement in coding efficiency.
Overall, Refact.ai combines these principles to create a powerful AI coding assistant that significantly enhances developer productivity while ensuring data security and customization.
To get started with Refact.ai, simply install the plugin for your preferred IDE, such as VS Code or JetBrains. Once installed, create an account and connect to your project. You can then begin using the integrated in-IDE chat for instant assistance and take advantage of the accurate auto-completion features as you code. Explore the personalized toolbox to customize commands that fit your workflow.
Refact.ai stands out as a revolutionary AI coding assistant that significantly enhances productivity while ensuring data security and customization. With its versatile features and robust infrastructure, it caters to a wide range of developers and companies, making coding more efficient and secure.
Features
Accurate Auto-completion
Refact uses Retrieval-Augmented Generation (RAG) combined with fine-tuning to provide context-aware code suggestions, enhancing your coding speed and accuracy.
Integrated In-IDE Chat
Ask questions directly within your IDE. Refact understands your codebase and can modify code based on your requests.
Personalized Toolbox
A customizable toolbox that helps explain, summarize, and refactor code, write documentation, and even generate new code.
Support for Multiple LLMs
Choose from over 20 large language models, including Mistral and GPT-4, for diverse coding needs.
Data Security
Deploy Refact on your own servers or private cloud, ensuring your data remains secure and under your control.
Productivity Measurement
Track productivity gains with real metrics, measuring how much code is generated with the aid of Refact.
Use Cases
Team Collaboration
Software teams
Development teams
Remote teams
Utilize Refact.ai to enhance communication and coding efficiency within teams, allowing team members to access the same AI assistant for consistent support.
Code Refactoring
Software engineers
Code reviewers
Technical leads
Leverage Refact.ai's tools to refactor existing codebases, improving code quality and maintainability while reducing technical debt.
Learning and Development
Junior developers
Interns
Coding bootcamp students
Use Refact.ai as a learning tool for new developers, providing them with suggestions and explanations to help them understand best practices.
Bug Fixing
Quality assurance testers
Developers
Tech support
Employ Refact.ai to quickly identify and fix bugs in code, streamlining the debugging process and enhancing productivity.
Documentation Generation
Technical writers
Software developers
Project managers
Automate the documentation process with Refact.ai, allowing developers to generate clear and concise documentation from code comments.
Custom Tool Creation
DevOps engineers
Software architects
Development teams
Develop custom commands and tools within Refact.ai to suit specific project requirements, enhancing development workflows.
FAQs
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12004
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