Workshop Program

13:30 - 13:40	Workshop Opening
13:40 - 14:10	Keynote From Hype to Engineering Reality — Navigating GenAI Adoption in Software Projects Zoran Roncevic, Adnovum Generative AI is quickly becoming part of everyday software engineering practice, yet many organizations struggle to turn early experimentation into sustainable engineering capability. This keynote examines the gap between GenAI hype and production reality, focusing on architectural, governance, and quality challenges observed in real-world projects. Drawing on hands-on experience from large-scale software environments, the talk shows how architects can guide responsible adoption through clear boundaries, integration patterns, and validation mechanisms. It offers practical guidance on balancing productivity gains with maintainability, reliability, and long-term system integrity when GenAI becomes part of the engineering toolchain, across teams and evolving delivery constraints.
14:10 - 14:35	Presentation of accepted contribution LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities Yongjian Tang and Thomas Runkler (Siemens AG, Technical University of Munich)
14:35 - 15:00	Presentation of accepted contribution Can LLMs Fool Themselves? Roman Machacek and Timo Kehrer (University of Bern)
15:00 - 15:30	Coffee Break

15:30 - 16:05	Keynote Neurosymbolic Reasoning in LLMs Rubén Ruiz-Torrubiano, IMC Krems University of Applied Sciences, Austria We present how Large Language Models (LLM) and Large Reasoning Models (LRM) perform reasoning and how the paradigm of Neurosymbolic AI can help in grounding reasoning and improving robustness for software engineering problems.
16:05 - 16:30	Presentation of accepted contribution Towards neuro-symbolic constrained decoding for reliable code generation with LLMs Philipp Kogler, Wei Chen and Alois Haselböck (Siemens Österreich)
16:30 - 17:00	Reflexion round & end of workshop