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Zhi Jin

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Sep 2026

KGMACG: Knowledge-Guided Multi-Agent Orchestration for Scalable Application-Level Code Generation

KGMACG is evaluated on three industrial-scale case studies against six state-of-the-art multi-agent baselines: MetaGPT, AutoGen, CAMEL, CrewAI, ChatDev and CodeAgent and indicates that KGMACG advances the automation of application-level software development.

Bo Yang, Xiao Zhang, Weisong Sun et al. · 0 citations
Book Open access Jul 2026

On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their In-IDE Behaviors

The rapid advancement of LLMs has opened new opportunities in automated software engineering, driving progress in code understanding, agent-based workflows, and productivity tools. However, existing code intelligence systems have largely sidelined the end-users they aim to serve—the developers themselves. Developers ex...

Yuhong Liu, Yu Su, Zhipeng Peng et al. · 1 citation

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