Do I need an OpenAI API key to use Rubberduck?

Yes, Rubberduck requires an OpenAI API key to function. You can enter your key using the 'Rubberduck: Enter OpenAI API key' command in VS Code.

Is my code shared with Rubberduck?

No. Rubberduck calls the OpenAI API directly using your personal key. Your code is only seen by you and OpenAI.

Can I use Rubberduck with local models?

Yes, there is experimental support for local models like Llama.cpp via the ModelFusion Llama.cpp setup.

How do I start a chat with Rubberduck?

You can start a chat via the command palette, the editor context menu (right-click), or by using the keyboard shortcut Ctrl+Alt+C (Windows/Linux) or Ctrl+Cmd+C (Mac).

Can Rubberduck generate unit tests?

Yes, it has a specific 'Generate Unit Test' command that creates test boilerplate for your selected code in a new editor tab.

What happens when I use the Edit Code feature?

Rubberduck generates a diff view showing the proposed changes, allowing you to review and refine the edits before applying them.

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Developer Tools

Free

Rubberduck

A ChatGPT-powered VS Code extension for generating, editing, and explaining code. Supports custom templates and local LLMs like Llama.cpp via personal API keys.

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Rating

Reviews

Upvotes

3 months ago

Listed

Coding Assistant

VS Code Extension

Open Source

ChatGPT

Code Generation

Unit Testing

Debugging

Developer Experience

Tool information

Provider

Lars Grammel

Platforms

VS Code Extension

Windows

macOS

Linux

Languages

English

French

Added to directory

3 months ago

Last updated

about 1 month ago

Rating

Not available

Pricing

Free

About Rubberduck

What the tool does and who it's for

Rubberduck is an open-source AI coding assistant for Visual Studio Code that integrates ChatGPT directly into the developer workflow. It allows users to generate code, edit existing blocks, explain complex logic, and find bugs using their own OpenAI API key. By leveraging the developer's selection and context, it provides highly relevant answers and code snippets. It also supports custom conversation templates, enabling developers to create specialized prompts for specific languages or tasks. Because it uses the user's personal API key, code remains private between the developer and OpenAI, and the tool can even be configured to work with local models like Llama.cpp for enhanced privacy and offline use.

Key capabilities

Generate Code: Create entire functions or code snippets from natural language descriptions.

Edit Code: Select a block of code and provide instructions to refactor or modify it via a diff view.

Explain Code: Highlight complex logic to receive a step-by-step breakdown of its functionality.

Find Bugs: Identify potential defects and logical errors within selected code segments.

Diagnose Errors: Analyze compiler or linter errors to suggest immediate fixes.

Generate Unit Tests: Automatically produce test cases for the selected piece of code.

Custom Templates: Create reusable Markdown-based conversation templates for specific tasks.

Local Model Support: Experimental support for running local models like Llama.cpp.

Secure Storage: Stores OpenAI API keys safely in the VS Code secret storage.

Context Awareness: Automatically detects and uses the active editor selection for chat context.

Pricing

Free — plans below

Open Source / Free

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