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codefuse-ai

Hello World! This is CodeFuse!

CodeFuse aims to develop Code Large Language Models (Code LLMs) to support and enhance full-lifecycle AI native software development, covering crucial stages such as design requirements, coding, testing, building, deployment, operations, and insight analysis.

We are passionating about creating innovative open-source solutions that empower developers throughout the software development process as shown above. We also encourage engineers and researchers within this community to join us in co-constructing/improving CodeFuse.

Popular repositories Loading

  1. Awesome-Code-LLM Awesome-Code-LLM Public

    [TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

    3.2k 214

  2. codefuse-chatbot codefuse-chatbot Public

    An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.

    Python 1.3k 136

  3. ModelCache ModelCache Public

    A LLM semantic caching system aiming to enhance user experience by reducing response time via cached query-result pairs.

    Python 954 58

  4. CodeFuse-muAgent CodeFuse-muAgent Public

    An Innovative Agent Framework Driven by KG Engine

    Python 773 83

  5. MFTCoder MFTCoder Public

    High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.

    Python 707 70

  6. Test-Agent Test-Agent Public

    Agent that empowers software testing with LLMs; industrial-first in China

    Python 651 75

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