Aug 2026· Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2· pp. 13417-13418· 2 citations· 2 references
TL;DR
This workshop aims to define a roadmap for a world where AI Teammates and human developers build the future together, anchored by the launch of the AIDev dataset, which provides the empirical evidence needed to understand the behaviors of AI Teammates.
Abstract
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.
SDD reconstitutes, in specification-centric form, the contracts that vibe coding dissolves: accountability, verifiability, and transferability, and outlines a research agenda for future empirical validation.
J. Díaz, J. Gayoso, Andrea Cimminio et al.· 4 citations· ⚡1
The emergence of AI agents is expected to reshape software engineering by moving beyond AI as assistants towards systems capable of planning, executing, and evaluating development tasks with increasing autonomy. This transition is particularly significant for embedded software organizations, where strict requirements f...
V. Kjellberg, Srijita Basu, Si-Min Sun et al.· 0 citations
Can AI make Software Engineering (SE) -- the discipline -- obsolete? And can it make software engineers -- the professionals -- redundant? This paper argues that the rise of capable AI coding agents makes SE and software engineers essential, not obsolete: the missing foundation without which AI-assisted development pro...
The state of the art in AI for requirements engineering research leading up to the transformation, before reviewing advances in LLMs, and two subsequent research areas: prompt programming and generalist SE agents, which combine multiple LLM advances to yield semi-autonomous processes that complete SE tasks.
Travis D. Breaux, Anmol Singhal· Requirements Engineering· 0 citations
As AI systems become increasingly integrated into consumer, enterprise, and public-sector software, ensuring compliance with emerging AI regulations has become an important challenge. Under the 2026 Digital Omnibus, the EU AI Act’s high-risk obligations are being phased in through 2027–2028. So far, compliance has been...
Sridhar Chimalakonda, Upendra Karimi· Proceedings of the 41st IEEE...· 0 citations
AI development agents are increasingly used to support and partially automate software architecture tasks. To explore how practitioners perceive this shift, specifically what changes, what remains, and what new responsibilities emerge, we conducted a focus group at the 31st European Conference on Pattern Languages of P...
U. van Heesch, Olaf Zimmermann, Christian Kohls· 1 citation
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