Jun 2026· arXiv.org· Vol abs/2606.21894· 0 citations· 10 references
Computer Science
TL;DR
From observations, this work identifies the skills developers need in the agentic era of development, with implications for training and educating future software engineers in coming years.
Abstract
As coding agents are rapidly changing software engineering, a natural question is: what are the core skills needed by future software engineers? To identify where software engineering is headed and thus what skills will be needed, we summarize the results of two round-tables with researchers and industrial practitioners, held in 2026 in New York and Singapore. One key finding is that verification and validation is increasing in importance as agents handle implementation, as highlighted by anecdotes from the events. From our observations, we identify the skills developers need in the agentic era of development, with implications for training and educating future software engineers in coming years.
Artificial Intelligence (AI) is changing software engineering by enabling autonomous software agents. This shift requires new educational approaches that prepare students to design and realise such systems. We present first experiences from an exploratory seminar in which students developed software agents using three...
L. Hofmann, José Ignacio Requeno Jarabo, Elena Gómez-Martínez et al.· Proceedings of the ACM/IEEE...· 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...
Artificial intelligence is likely the largest disruptor to the discipline of software engineering since third and fourth generation languages arrived and we have all heard the stories of its impact. Productivity increases of more than 100x, faster delivery and reduced workforces, but also drops in quality, shifts in co...
J. Noppen· Proceedings of the 41st IEEE...· 0 citations
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
There is a growing need to reorient educational systems from learning focused on assessing large amounts of material to developing basic skills that can serve as a foundation for self-development and for creating individual lifelong learning plans.
Aleksander Kobylarek· Journal of Education Culture...· 0 citations
