ABCoder

关于

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.

主要功能

• 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

使用案例

• 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