OpenRefactorAI is a robust extension for Visual Studio Code, designed to use the capabilities of OpenAI to refactor code with specificity and accuracy. It allows for complex refactoring tasks across any programming language, utilizing the power of Language Model learning. The tool is integrated directly into the Visual Studio Code IDE, enabling users to refactor their code without needing to leave their development environment. Users can select a piece of code and refactor it using OpenAI, optionally saving refactoring instructions for future use. The extension also provides a progress indicator during the refactoring process, informing the user when the task is complete. To use OpenRefactorAI, an OpenAI API key is required, which can be set in the command palette after installation. Further planned advancements include support for multi-file refactoring and progress indication enhancements through a streamed response. Any issues with the extension can be reported on the GitHub issues page. Those wishing to contribute to OpenRefactorAI can do so through forking the repository and submitting a pull request. The project is licensed under the MIT License.
F.A.Q (20)
OpenRefactor AI is a Visual Studio Code extension that enables developers to leverage the power of AI to refactor their code. It supports a multitude of programming languages thanks to the application of Language Model Libraries (LLMs) and is integrated seamlessly into the Visual Studio Code IDE to allow for in-context code refactoring.
OpenRefactor AI facilitates code refactoring by using OpenAI and Language Model Libraries (LLMs). You select a code snippet, specify precise refactoring instructions, and then OpenRefactor AI applies these instructions to refactor your code. A progress bar in the status bar provides real-time progress indication during the refactoring process.
No, OpenRefactor AI does not limit support to specific programming languages. It utilizes Language Model Libraries (LLMs) for performing complex refactoring tasks in any programming language.
The main features of OpenRefactor AI include the ability to select a piece of code and refactor it using OpenAI and to save refactoring instructions for future use. It also provides a progress implementation during the refactoring process and has the potential to support multi-file refactoring in the future.
To install OpenRefactor AI in Visual Studio Code, you need to download the extension from the Visual Studio Code marketplace. After downloading the extension, you will then need to set your OpenAI API key through the Command Palette.
Yes, you do need an OpenAI API key to use OpenRefactor AI. This key should be set after installing the extension from the Visual Studio Code marketplace.
After installing the OpenRefactor AI extension, you can set your OpenAI API key by opening the Command Palette (Ctrl+Shift+P or Cmd+Shift+P on Mac) and entering 'OpenRefactorAI: Set OpenAI API key'.
Yes, OpenRefactor AI provides the functionality to save your refactoring instructions. This gives you the freedom to reuse these instructions in the future, making code refactoring more efficient.
OpenRefactor AI has a roadmap that proposes supporting refactoring across multiple files and enhancing progress indication using a stream response. These improvements aim to make the tool more versatile and user-friendly.
OpenRefactor AI leverages Language Model Libraries (LLMs) to perform complex refactoring tasks on any programming language. The LLMs work in conjunction with OpenAI to understand, process and implement the refactoring instructions you provide.
To use OpenRefactor AI, you first need to install the extension and set your OpenAI API key. Next, select the piece of code you want to refactor. Open the Command Palette and enter 'OpenRefactorAI: Refactor'. You will be asked to provide refactoring instructions. Once you proceed, a progress bar will show the refactoring progress. You'll be notified once the process is complete.
If you want to contribute to the OpenRefactor AI project, you can fork the repository and submit a pull request on GitHub.
For better user experience, OpenRefactor AI plans to improve its progress indication feature by incorporating a stream response. This aims to deliver more accurate and real-time progress updates during the refactoring process.
At present, OpenRefactor AI does not support refactoring across multiple files. However, multi-file refactoring support is included in its future roadmap.
Yes, OpenRefactor AI does offer multi-language support. Thanks to Language Model Libraries (LLMs), OpenRefactor AI can perform code refactoring in any programming language.
To obtain an OpenAI API key, you need to sign up for an account on the OpenAI website. Once you've registered, you'll be able to access your OpenAI API key.
OpenRefactor AI is licensed under the MIT License, which grants users certain rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software.
Yes, you can see the refactoring progress on OpenRefactor AI. The software displays a progress bar in the status bar during the refactoring process, and it will notify you once the process is complete.
Any issues with OpenRefactor AI can be reported on the GitHub issues page. This is the platform where developers can submit bug reports, suggestions, feedback or any difficulties they encounter while using the extension.
Yes, you can use OpenRefactor AI without exiting the Visual Studio Code IDE. The tool is designed to be a seamlessly integrated extension, enabling you to refactor your code within your current development environment.