Agentic Afterhours Volume 1

Agentic Afterhours Volume 1

We are excited to invite you to our first volume of the Agentic Afterhours, powered by paretos.

Our two speakers of the evening are Leon Ruddat, Founder of Strictly Boring, and Jan Hauer, Senior Director at exxeta.

Join us for an inspiring evening full of expert talks, networking, and great conversations!

Sign up now and secure your spot!

For updates please check below!

Our Agenda

18:00 Doors open
18:30 Welcome from the hosts

18:45 Leon Ruddat (Founder, Strictly Boring, former Snocks) - How AI Makes Money at Snocks

19:15 Break: Networking with pizza and beverages

20:00 Jan Hauer (Senior Director | Member TI Board | Division Lead at exxeta) - You can’t modernize what nobody understands:
How AI agents helped make 1.6 million lines of legacy code manageable

20:30 Lightning Talks
20:45 Networking with snacks and beverages
21:30 End

We are looking forward to meeting you!

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Our speakers & topics:

Leon Ruddat (Founder at StrictlyBoring):

How AI Makes Money at Snocks

No buzzword bingo, just real talk: in this talk I share my experiences at Snocks and show concretely where and how AI actually contributes to revenue for us — what worked, what didn't, and what we learned along the way. Honest, hands-on, and without the gloss.

Jan Hauer (Senior Director | Member TI Board | Division Lead at exxeta)

You can't modernize what no one understands:
How AI agents helped make 1.6 million lines of legacy code manageable
Many companies face the same problem: the core system has been running essentially reliably for decades, but no one understands it anymore. Together with Real Garant, we are modernizing a central insurance system with 1.6 million lines of RPG code on an IBM AS/400 platform — with no documentation, no tests, and using a technology that is barely mastered by anyone today.
Instead of treating the migration as a translation problem, we deploy specialized AI agents to reconstruct business logic, dependencies, and system knowledge, and to make them usable for developers and then for the business departments as well.
In the talk, we show how a hybrid team of 25 developers and AI agents carried out a migration to Java and into a cloud-native target architecture on AWS/OpenShift in less than 18 months.
The key insight: the greatest leverage of AI in legacy projects lies not in generating code, but in making systems understandable again — and therefore modernizable.