Date: 20 May, 10:00–17:00
Location: Linköping, Campus Valla
Free of charge: Membership in Swedsoft or Expert Learning Lab required.
Language: The seminar will be held in Swedish or English, depending on participants’ needs.
What does software development look like when AI is no longer just a support function, but an active participant in the development process?
Swedsoft and Expert Learning Lab invite you to the first Expert Forum under our new strategic collaboration. The forum brings together industry, research, and practice to explore what AI‑assisted software development means in reality—and how organizations can navigate a rapidly evolving landscape.
Through a mix of outlooks, discussion, and hands‑on experience, the day offers a practical and up‑to‑date understanding of where AI‑assisted development stands today and what it means for organizations right now.
Who should attend
This Expert Forum is designed for professionals involved in software development and engineering, including:
- Software developers and engineers
- AI/ML engineers
- Software architects
- DevOps and platform engineers
- Technical product leads
- Researchers in software engineering, automation, or AI tooling
- Engineering managers driving AI‑enhanced development practices
Program
Block 1: Reality Calibration (10:00-12:00)
The AI-assisted software engineering landscape is moving faster than most organizations can track. One year ago, ”AI-assisted” meant autocomplete suggestions. Half a year ago, it meant holding the hand of a semi-autonomous agent writing most of the software. Today it means autonomous agents that read, write, test, refactor, and deploy code, operating across entire codebases with minimal (but vital) human intervention. We will start with an outlook to capture the trajectory of where we have been to where we are going, then turn to the practical aspects of here and now.
This block aims to establish an up-to-date picture: live demonstrations of how frontier AI-assisted development actually works today, what it can and cannot do, and why the gap between early adopters and everyone else is widening rapidly. The purpose of this block is to provide a calibrated view of where we are, informed by daily practice at the intersection of research and deployment.
Block 2: Discussion between participants
The participants share how they at their company/organization has experienced this, what discussions that takes place internally, changes of work streams etc.
Block 3: Hands-On Workshop (14:00-16:00, AI Academy Lab)
Participants work hands-on with AI-assisted development tools in our GPU-equipped lab. Progressive exercises: from first contact to building real services powered by AI models running on local hardware in the room. This is not a tutorial. It is a controlled exposure to what software development looks like when AI is a full participant in the engineering process, so that the afternoon conversation is grounded in firsthand experience rather than speculation.
Block 4: Debrief — What Does This Mean? (16:00-17:00)
We will take a step back and consider the implications and try to answer what we can about today and likely tomorrows.
- How does this change how we work, how we think, and how we collaborate?
- What about resilience, cyber security, and data-driven organizations?
- What does responsible adoption look like?
- How do you prepare for what is already here, and what comes next?
