AI tools for twinny AI code completion plugin
Related Tools:

twinny
Twinny is a free and private AI extension for Visual Studio Code that offers AI-based code completion and code discussion features. It provides real-time code suggestions, function explanations, test generation, refactoring requests, and more. Twinny operates both online and offline, supports customizable API endpoints, conforms to OpenAI API standards, and offers various customization options for prompt templates, API providers, model names, and more. It is compatible with multiple APIs and allows users to accept code solutions directly in the editor, create new documents from code blocks, and copy generated code solution blocks. Twinny is open-source under the MIT license and welcomes contributions from the community.

awesome-AI-driven-development
Awesome AI-Driven Development is a curated list of tools, frameworks, and resources for AI-driven development. It includes AI code editors, terminal-based coding agents, IDE plugins & extensions, multi-agent systems, code generation & templates, testing & quality assurance tools, Model Context Protocol implementations, pull request & code review tools, project management & documentation tools, language models for code, development workflows tools, code search & analysis tools, specialized tools for Git & version control, cloud & DevOps, language-specific tasks, terminal & shell utilities, prompt & context management tools, Copilot extensions & alternatives, learning & tutorials resources, and configuration & enhancement tools for AI coding assistants.

are-copilots-local-yet
Current trends and state of the art for using open & local LLM models as copilots to complete code, generate projects, act as shell assistants, automatically fix bugs, and more. This document is a curated list of local Copilots, shell assistants, and related projects, intended to be a resource for those interested in a survey of the existing tools and to help developers discover the state of the art for projects like these.

ollama
Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications. Ollama is designed to be easy to use and accessible to developers of all levels. It is open source and available for free on GitHub.