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Jie M. Zhang

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Book Open access Aug 2026

Agentic Software Engineering (SE 3.0): The Rise of AI Teammates

We are witnessing the emergence of Agentic Software Engineering (SE~3.0), where AI agents act as autonomous AI Teammates performing complex tasks such as coding, debugging, and testing. As AI Teammates generate a vast new category of digital artifacts, they introduce unique opportunities and challenges related to human-AI collaboration, trustworthiness, and economic impact. This workshop serves as the premier forum for addressing these challenges, anchored by the launch of the AIDev dataset. Comprising over one million agentic pull requests generated by AI Teammates such as Claude Code, OpenAI Codex, and GitHub Copilot, AIDev provides the empirical evidence needed to understand the behaviors of AI Teammates. This workshop features insights from major industry players and academic pioneers, and aims to define a roadmap for a world where AI Teammates and human developers build the future together.

Hao Li, Haoxiang Zhang, Jie M. Zhang et al. · 0 citations
Open access Jul 2026

Mitigating medical bias in large language models by prompt engineering: an empirical study of effectiveness and trade-offs.

Five widely used prompting strategies across five influential LLMs in the latest medical bias benchmark reveal substantial heterogeneity in both effectiveness and overhead across models, with no strategy proving universally effective and some even exacerbating bias.

Ying Xiao, Zhenpeng Chen, Jie M. Zhang · 1 citation