Refact AI: Customizable AI Coding Assistant

Refact AI: Customizable AI Coding Assistant
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Refact AI is designed to boost developers' efficiency by providing accurate code suggestions based on Retrieval-Augmented Generation and fine-tuning. It integrates seamlessly with popular IDEs like VS Code, JetBrains, Visual Studio, and more. The platform supports over 25 programming languages and offers a customizable toolbox and integrated chat within the IDE. Clients can choose between cloud or on-premise deployment to keep company code secure. Additionally, Refact AI provides the unique ability to fine-tune models on a company's codebase, leading to more relevant suggestions and a significant increase in code authored by the AI. Refact emphasizes security and transparency by allowing full control over data with on-premise deployment and open-source code verification.

Key Features

AI
coding
developer productivity
code suggestions
integrated chat
customizable
on-premise
cloud-hosted
code security
fine-tuning

Pros

  • Increased developer productivity by 45%
  • Customizable toolbox and AI assistant
  • Supports 25+ programming languages
  • Can be hosted on-premise or in the cloud
  • Fine-tuning on company codebases enhances relevance

Cons

  • Potentially high setup and maintenance costs for on-premise hosting
  • Learning curve for effectively using all features
  • Dependency on AI suggestions might reduce human oversight
  • Requires continuous updates to maintain model accuracy
  • Limited to developers using supported IDEs

Frequently Asked Questions

What is the primary function of Refact AI?

Refact AI serves as a customizable AI coding assistant that boosts developers' productivity with features like context-aware code completion, integrated in-IDE chat, and a personalized toolbox.

How does Refact AI enhance coding productivity?

It uses Retrieval-Augmented Generation and fine-tuning for accurate code suggestions and helps in writing up to 45% of the code by providing relevant completions.

Can Refact AI be deployed on-premise?

Yes, Refact AI can be deployed on private servers or in a private cloud, ensuring that company code remains secure and under control.

Which IDEs does Refact AI support?

Refact AI supports VS Code, JetBrains, Visual Studio, Neovim, Sublime Text, PyCharm, WebStorm, GoLand, IntelliJ, and CLion.

What programming languages are supported by Refact AI?

It supports over 25 programming languages, ensuring a wide range of compatibility for developers.

Is it possible to fine-tune the AI model on a specific codebase?

Yes, models can be fine-tuned on a company’s codebase to generate more relevant code suggestions that emulate good coding practices.

How does Refact AI ensure the security of corporate code?

By allowing on-premise deployment, Refact AI ensures that data does not leave the company's controlled servers, with all telemetry staying internal.

What kind of support is available for enterprises using Refact AI?

Priority support and assistance are available at every stage, from initial setup through to fine-tuning and optimization.

Does Refact AI provide metrics for productivity gains?

Yes, it offers measures of how much the AI assists each developer, providing concrete numbers on productivity improvements.

Is Refact AI open-source?

Yes, the code used by Refact AI is open-source, which allows verification of what the code does and ensures transparency.

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