ABCoder
Enhances coding context for Large Language Models and accelerates the development of AI-assisted programming applications.
소개
ABCoder is a comprehensive AI-oriented code-processing framework designed to significantly improve the quality and depth of coding context available to Large Language Models (LLMs). By offering a Universal Abstract-Syntax-Tree (UniAST) specification, alongside language-agnostic parsers and writers, it provides a structured and flexible representation of code information. This foundation, combined with Code-Retrieval-Augmented-Generation (Code-RAG) tools, empowers developers to effortlessly build or enhance AI-powered applications for various tasks, including code reviewing, optimization, and translation, making AI-assisted programming more precise and efficient.
주요 기능
- Universal Abstract-Syntax-Tree (UniAST) for language-independent code representation
- General Parser to convert arbitrary language codes into UniAST
- General Writer to transform UniAST back into code
- Code-Retrieval-Augmented-Generation (Code-RAG) for precise LLM code understanding
- Integrates as an MCP server for AI agents to parse and analyze repositories
- 120 GitHub stars
사용 사례
- Enhancing coding context for Large Language Models (LLMs)
- Developing and improving AI-assisted programming applications (e.g., code reviewing, optimizing, translating)
- Parsing and analyzing code repositories for AI agent integration
