Twinny

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An AI code completion plugin designed specifically for VS Code

published date:
2025-03-19
TwinnyTwinny
Twinny

What is Twinny?

Twinny is an AI-powered code completion plugin designed specifically for VS Code. It supports both local and API-hosted deployment, providing intelligent code autocompletion services. Twinny is designed to seamlessly integrate with Ollama, similar to GitHub Copilot, but it is completely free and 100% private. With features such as automatic code completion, multi-language support, easy installation, and configuration, Twinny helps developers improve their programming efficiency. Additionally, Twinny includes a chat feature that allows users to interact with the AI, view differences in code completions, and directly accept solutions.

The main functions of Twinny

  • Automatic Code Completion: Provide fast and accurate code suggestions to help developers improve coding speed.
  • Multi-language Support: Support a variety of programming languages to meet the needs of different developers.
  • Local or API Hosting: Choose to run locally or host via API to ensure flexibility and privacy.
  • Seamless Collaboration: Integrate seamlessly with Ollama tools to provide richer functionality.
  • Free and Private: Completely free to use, with all operations performed locally to ensure data security.
  • Flexible Configuration: Allow users to customize the endpoint and port of the Ollama API to adapt to different environments.

The technical principle of Twinny

  • Ollama: A lightweight AI model management tool that supports efficient management and deployment of various models.
  • llama.cpp: A high-performance AI inference library based on C++, suitable for fast inference of various AI models.
  • oobabooga/text-generation-webui: A web interface for text generation, supporting multiple generation tasks.
  • LM Studio: A lightweight language model studio that supports training and inference of various language models.
  • LiteLLM: A lightweight language model library that supports fast loading and inference of various language models.

Application scenarios of Twinny

  • Individual Developers: For independent developers, Twinny provides a powerful and free programming assistant to improve coding efficiency and code quality.
  • Small Teams: With limited resources, small teams can accelerate the development process based on Twinny while maintaining code consistency and quality.
  • Startups: Startups have urgent product development needs and budget constraints, making Twinny’s free and efficient features highly suitable.
  • Educational Institutions: Educational institutions use Twinny as a teaching aid to help students learn programming and improve their coding skills.
  • Large Enterprises: Development teams in large enterprises can improve work efficiency with Twinny while ensuring the privacy and security of their code.

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