Detailed Introduction
mini-kode is an education-oriented command-line tool (CLI, Command Line Interface) that acts as an AI coding agent powered by large language models (LLMs). It converts natural language prompts into code suggestions, explanations, and step-by-step guidance, helping learners understand algorithmic thinking and code structure. The project focuses on lightweight local use for classroom demos and individual practice.
Main Features
- Education-first: tailored prompts and examples designed to guide learners through implementation and reasoning.
- CLI interaction: command-line centric workflow that can be integrated into study scripts and automated exercises.
- LLM-powered: uses large language models to generate code, comments and problem breakdowns.
- Open source: MIT-licensed and easy for the community to extend and adapt.
Use Cases
Suitable for CS teaching, algorithm practice, and self-study of programming problems. Instructors can demo model-generated solutions in class, while students run local experiments via CLI to explore alternative implementations and improve problem decomposition skills.
Technical Features
- Implemented in TypeScript for easy integration with modern toolchains.
- Lightweight CLI design with minimal installation and local execution, avoiding mandatory cloud dependencies.
- Configurable backend: can connect to different LLM providers via configuration.
- Focus on readable examples and teaching materials to ease customization for curricula.