Twinny delivers AI-powered code completion inside VS Code without requiring cloud services or paid subscriptions. It connects to any model exposing an OpenAI API-compatible endpoint, with native support for local model runners like Ollama. This means developers can run Codestral, DeepSeek Coder, or any other coding model entirely on their own hardware, ensuring complete privacy over their codebase and intellectual property.
Beyond inline completions, Twinny includes a sidebar chat interface for discussing code, requesting explanations, generating tests, and getting refactoring suggestions. Workspace embeddings analyze project files to provide context-aware suggestions that understand the specific patterns and conventions of each codebase. The decentralized P2P inference network allows developer communities to share GPU resources for model serving, reducing individual infrastructure costs while improving availability.
The MIT license and zero cost make Twinny accessible to individual developers, students, and organizations that cannot justify commercial copilot subscriptions. The extension integrates seamlessly with VS Code's native autocompletion UI, creating a familiar experience while providing the flexibility to choose any model and run it anywhere. For privacy-conscious teams handling proprietary or regulated code, Twinny offers the only fully local AI coding assistant option in the VS Code ecosystem.
