codefuse-ai

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

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

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

An Innovative Agent Framework Driven by KG Engine

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

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

Industrial-first evaluation benchmark for LLMs in the DevOps/AIOps domain.

Text and code embeddings research from CodeFuse: C2LLM, D2LLM, E2LLM, F2LLM, ML-Embed

[NeurIPS 2025] A Graph-based LLM Framework for Real-world SE Tasks

DevOps-Models is a series of industrial-first LLMs for theDevOps domain. Asking it for any question in the DevOps domain to get solution!

Query-Based Code Analysis Engine

AI Native IDE based on CodeFuse and OpenSumi

The OpAgent framework is used to automate web browser operations, achieving State-of-the-Art (SOTA) performance on the WebArena benchmark.

Index of the CodeFuse Repositories

High-performance LLM inference based on our optimized version of FastTransfomer

EasyDeploy is engineered to provide users with end-to-end deployment capabilities for large-scale models.

Industrial-level evaluation benchmarks for Coding LLMs in the full life-cycle of AI native software developing.企业级代码大模型评测体系,持续开放中