3 papers
cs.SE2025
BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
Yuanpeng Li, Qi Long, Zhiyuan Yao +7
As enterprise codebases continue to grow in scale and complexity, the volume of lint errors far exceeds engineers' manual remediation capacity, leading to continuous accumulation o…
cs.AI2025
Aime: Towards Fully-Autonomous Multi-Agent Framework
Yexuan Shi, Mingyu Wang, Yunxiang Cao +12
Multi-Agent Systems (MAS) powered by Large Language Models (LLMs) are emerging as a powerful paradigm for solving complex, multifaceted problems. However, the potential of these sy…
cs.SE2025
BitsAI-CR: Automated Code Review via LLM in Practice
Tao Sun, Jian Xu, Yuanpeng Li +9
Code review remains a critical yet resource-intensive process in software development, particularly challenging in large-scale industrial environments. While Large Language Models…