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Twinny

Twinny is a free, privacy-focused AI code completion extension for Visual Studio Code that delivers real-time coding assistance locally through seamless Ollama integration.

Last Update: 2026-02-25

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Tool Information

Twinny is an open-source AI coding assistant built specifically for Visual Studio Code users who prioritize privacy, speed, and cost efficiency. Operating entirely on a local environment, it ensures that source code never leaves the developer’s machine, making it ideal for secure software development workflows. By integrating directly with Ollama, Twinny enables developers to run powerful language models locally while receiving intelligent, context-aware code suggestions in real time.

The extension enhances productivity with automatic code completion, inline suggestions, and an interactive chat interface similar to modern AI programming assistants. Developers can request explanations, generate functions, refactor logic, or debug snippets directly inside the editor. Twinny also allows users to preview differences between generated suggestions and existing code before applying changes, helping maintain clean version control and development accuracy. Accepted solutions can be inserted instantly into the editor for seamless workflow continuity.

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Twinny supports multiple programming languages and provides flexible configuration options, including customizable API endpoints and ports for Ollama integration. A visual status indicator within the VS Code interface shows active models, ensuring transparency and control. Conversation history is preserved per session, enabling developers to reference past interactions easily. With fast installation, zero subscription costs, and fully local execution, Twinny offers a secure and efficient alternative for developers seeking AI-powered code assistance without compromising privacy.

F.A.Q (20)

Twinny differs from Github Copilot in terms of its cost-effectiveness and privacy. Twinny is free to use and ensures total user confidentiality by operating locally, which means your code remains private. It also offers a chat feature like Copilot Chat.

Yes, Twinny is free to use.

Twinny ensures user privacy by operating locally. This means that the code generation and completion tasks are performed on your own device, thus ensuring total confidentiality of your code.

Yes, Twinny supports multiple programming languages.

The function of Ollama API with Twinny is to provide the code completion tasks. It allows for the seamless integration of the two, enhancing the code completion capabilities of Twinny.

Yes, Twinny offers auto code completion. It generates and suggests code in real-time as you are typing in the Visual Studio Code editor.

The chat feature in Twinny is similar to the Copilot Chat you find in Github Copilot. It allows for interactive coding, with Twinny suggesting code in real time during your chat conversation. The chat history with Twinny is also preserved per conversation for easy reference.

Upon successful installation of Twinny and Ollama in Visual Studio Code, an icon showing what models are running appears at the bottom of the editor. This icon displays the operational status of the system.

Yes, with Twinny you can accept code solutions directly to the editor which enhances your coding productivity.

In Twinny, code completion works with the help of AI. As you type into the editor, Twinny immediately generates and suggests code to complete your current task. These suggestions are based on your conversation with Twinny.

Ollama is a service that works in conjunction with Twinny. During the installation process of Twinny extension in Visual Studio Code, it automatically prompts and guides you through the installation of Ollama using two default small models. Ollama enhances the capability of Twinny by handling the code completion tasks.

You can install Twinny from the Visual Studio Marketplace. Upon selection, the extension will automatically guide you through the installation process of both Twinny and Ollama.

Yes, Twinny does preserve your chat history per conversation. This feature helps you to easily refer to previous discussions or code suggestions.

Yes, Twinny offers a configurable endpoint and port for Ollama API, giving you the flexibility to adjust according to your requirements.

Twinny stands out from other code completion extensions due to its cost-effectiveness and respect for user privacy. It is free to use and operates locally to keep your code confidential. Moreover, Twinny is designed to work seamlessly with Ollama and also offers a chat feature.

Yes, with Twinny you can view differences for code completions. This feature allows you to evaluate and choose the best code suggestion for your needs.

Yes, Twinny does have a high accuracy rate for code completion. It provides fast and accurate code completions, thereby saving your time and increasing productivity.

The Copilot Chat feature in Twinny is an interactive coding assistant. It suggests code in real time during your chat conversation with the system. This allows you to have a dialogue about your code, making coding more engaging and intuitive.

To contribute to Twinny's development, you can clone their repository, install the necessary dependencies, and start the plugin in development mode within Visual Studio Code. Contributions are welcome and you can open an issue describing your changes and then a pull request when ready. Make sure to read the MIT licence for more information.

As Twinny is a free and open-source tool, support is largely provided by the community. If you experience issues, you can reach out to the Twinny community on Github. There, you'll find issue tracking and you can also contribute to solving issues or adding new features.

Pros and Cons

Pros

  • Operates locally
  • Enhances code completion
  • Seamless integration with Ollama
  • Cost effective
  • Ensures user confidentiality
  • Real-time code suggestions
  • Supports multiple programming languages
  • Configurable endpoint and port
  • Chat feature
  • Visual comparison for code completions
  • Accept solutions directly to editor
  • Preserves chat history
  • Easy installation
  • Fast and accurate completions
  • Open-source
  • Auto code completion
  • Copy generated code blocks
  • Works with Ollama
  • Shows operational models
  • Interactive coding assistant
  • Tells system’s operational status
  • Freely available

Cons

  • Requires Visual Studio Code
  • Requires separate Ollama installation
  • No standalone functionality
  • Lacks extensive user reviews
  • Limited tools compared to Copilot
  • Usage requires constant Internet connection
  • Dependent on Ollama API updates
  • Frequent updates may disrupt workflow
  • No advanced setting or customization
  • No support for all languages

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Applicable Tasks

AI code completion extension Visual Studio Code AI plugin local coding assistant Ollama integration tool real-time code suggestion software privacy-focused development tool AI programming helper VS Code automation extension code refactoring assistant open-source AI developer tool

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