It is an intelligent assistant designed to serve the entire software development lifecycle, powered by a Multi-Agent Framework and integrated with DevOps Toolkits, Code & Documentation Repository Retrieval Augmented Generation (RAG), and other tools.
It is an intelligent assistant designed to serve the entire software development lifecycle, powered by a Multi-Agent Framework and integrated with DevOps Toolkits, Code & Documentation Repository Retrieval Augmented Generation (RAG), and other tools. The CodeFuse-ChatBot, developed by the Ant Group’s CodeFuse team, aims to simplify and optimize various stages of software development, including design, coding, testing, deployment, and operations. It leverages advanced technologies such as Retrieval Augmented Generation (RAG), Tool Learning, and sandbox environments to transition from traditional, fragmented development and operations practices to an intelligent, model-driven approach.
The project supports offline private deployment using open-source LLM and Embedding models, as well as integration with OpenAI APIs. It is developed by a core team specializing in AIOps and NLP, with the goal of making software development more accessible and efficient. The project encourages community contributions, including code, testing, documentation, and tool improvements, and provides detailed documentation, demo videos, and technical roadmaps for users.
CodeFuse-ChatBot is tested in environments such as Python 3.9.18, CUDA 11.7, Windows, and macOS (X86 architecture). It also provides guidance for Docker installation, private LLM integration, and troubleshooting. The project is open-source and built on contributions from langchain-chatchat and codebox-api, with a strong emphasis on community feedback and collaboration. Users can provide feedback, report issues, or contribute through GitHub.
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