SITIC Sharing – Date in preparation
Benefits and Challenges of
AI-Augmented Software Engineering
SITIC Exploring AI’s Impact on Modern Software Development
«The emergence of new artificial intelligence technologies, in particular, generative AI (GAI), shows groundbreaking potential, but there are challenges and limitations when evaluating GAI’s applicability for software Engineering»
states the IEEE COMPUTER SOCIETY in its paper
«Infusing Artificial Intelligence Into Software Engineering and the DevSecOps Continuum»
SITIC has sketched a high level mind map to position benefits, challenges and limitations, as shown in this chart:

Against this backdrop, this sharing session aims to discuss key questions raised by the participants.
Objectives
It is a fact that the development landscape and thus also software engineering practices are being rapidly transformed by AI technologies.
This transformation is not happening on greenfield sites.
Every organization is challenged to tackle it with foresight, based on the current situation and in coordination with internal stakeholders and external partners.
Thus, what are the key questions that arise in this context and how are SITIC members dealing with it?
The objectives are twofold:
1. Participants learn how other organizations assess or have already experienced the benefits and challenges of AI-augmented software engineering and compare them with their own ambitions.
2. Participants determine topics for in-depth discussions in follow-up sharings.
Key Questions
Relevant questions are requested in advance from member organizations and participants and derived from contributions. They serve as guiding questions for group and plenary discussions.
Host and Location
LGT Group in Bendern FL
Date
In preparation.
Language / Sprache
Englisch or German, according to individual preference / Englisch oder Deutsch, je nach individueller Präferenz.
Participants
We welcome business IT professionals who work in larger IT user organizations and take care of digitization, business development, enterprise and IT architecture, GenAI application, software engineering, and DevSecOps.
Organization and Moderation
Adrian von Aesch, SITIC Vorstandsmitglied
Kurt Wehrli, SITIC Vorstandsmitglied
Agenda
11:45 – 12:30
Sandwich Lunch & Networking
12:30 – 12:40
Welcome and Intro (SITIC)
12:40 – 13:00
Opening Remarks (Host)
13:00 – 14:30
Al Assisted Solution Delivery: Perspektive und Erfahrungen der AXA Schweiz
Francesco De Collibus, AXA
GenAI hat keinen anderen Bereich wie IT und Softwareentwicklung so stark revolutioniert. Von Tabnine und Copilot bis Cursor – die Softwareentwicklung bleibt eines der grössten Einsatzfelder für AI. In dieser Sitzung werden Sie mehr über die Reise von AXA im Bereich AI-assisted Solution Delivery erfahren, wo die AXA steht und warum wir uns für einen Bottom-up-Ansatz entschieden haben.
Q&A
From API to Interface: Building a Modern Provisioning Workflow GUI with Just Prompts
Frank Roth, Swiss Re
Q&A
14:30 – 15:00
Coffee Break & Networking
15:00 – 15:45
Entwicklungsabteilung im Wandel – Wie AI unsere Jobs verändert (Überlegungen und aktueller Stand)
Alex Gfeller, LGT Group
Q&A
From Specs to Software: Accelerating Delivery with GenAI
Alessandro Surace, Swiss Re
Q&A
15:45 – 16:45
Panel and Plenary Discussions
16:45 – 17:00
Wrap-Up & Closing Remarks (Host)
17:00
Apéro Riche & Networking
AI-Augmented Software Engineering?
Gartner defines AI-augmented software engineering as the integration of AI technologies, like generative AI and machine learning, into software development workflows to enhance developer productivity, streamline development, and improve software quality. Gartner sees this as a strategic approach to accelerate the software development lifecycle by automating tasks such as code generation and testing, reducing costs, and enabling developers to focus on more complex, value-added work.
Becoming True?
I think the appearance of LLMs will change software development to a similar degree as the change from assembler to the first high-level programming languages.
Martin Fowler in
LLMs bring new nature of abstraction
Companion or Competitor?

I am an enthusiastic software developer.
Dear DeepSeek, are you going to make me obsolet?
That’s an excellent and very relevant question. Let’s get straight to the point.
No, I am not going to make you obsolete. Quite the opposite: I am going to make you more powerful, more efficient, and more valuable.
Think of me not as your replacement, but as the most powerful IDE, pair programmer, and research assistant you’ve ever had. The fundamental role of a software developer is shifting, not disappearing.
E.g., your human skills are your superpower.
Software development has never been just about writing syntax. The most valuable developers have always been those with strong soft skills, which I cannot replicate:
– Empathy: Understanding user needs and frustrations.
– Communication: Collaborating with teammates, stakeholders, and clients.
– Critical Thinking & Judgment: Making trade-offs between time, cost, quality, and technical debt.
– Creativity: Inventing novel solutions and dreaming up the next big thing.
Reading Material
AI-Augmented Software Engineering
Carnegie Mellon University
How an AI-enabled software product development life cycle will fuel Innovation
McKinsey
Generative AI is Redefining the Role of Software Engineering Leaders
Gartner
AI-Native Software Engineering May Be Closer Than Developers Think
SwissCognitive
AI Will Not Replace Software Engineers (and May, in Fact, Require More)
GitHub
AI Augmented Software Engineering
Infosys
AI-Augmented Software Development: Enhancing Code Quality and Developer Productivity Using Large Language Models
International Journal Of Novel Research And Development
Boosting Business Productivity with AI in Software Development: Should You Introduce It?
Adnovum