Agenda
Check out the different topics, each representing a single block of talks and sessions to guide you through the program of DevTalks! We look forward to welcoming you to the event and providing you with an unforgettable learning and networking experience in the world of technology.
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10:15 to 11:00
Domain-Driven Transformation—Modularizing and Modernizing Legacy Software
Future of Engineering Stage — 45 minutes Future of Engineering Clean Architecture Legacy Software
Starting a new project from scratch with a clean slate is one thing; tackling legacy systems with chaotic architectures is another. Many teams inherit systems described as “Monoliths” or “Big Balls of Mud,” and this talk focuses on how to bring order to such challenges.
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Henning Schwentner
12:15 to 13:00
Is the Specialist Dead? Being a software developer in the AI age
Future of Engineering Stage — 45 minutes Artificial Intelligence Future of Engineering Clean Architecture Software Development
My journey in tech began with a Commodore 64. From there, I followed the industry's gravity: moving to the PC, finding a home on the Mac, and building a professional career through the mobile revolution—from the early days of feature phones and BlackBerry to the heights of Android. Read More...
Danny Preussler
14:50 to 15:20
Faster, Leaner, Predictable: Quarkus vs Spring Under Real Load
DevOps Stage — 30 minutes DevOps Kubernetes Microservices
Modern organizations increasingly adopt FinOps principles to balance engineering autonomy with responsible cloud spending. In this presentation, I explore a practical comparison between Quarkus and Spring Boot through the lens of cost-efficient microservice design. Read More...
Alexandru-Cătălin Diniș
10:00 to 10:45
Designing Reliable AI-Generated Test Automation Using Proven Design Patterns
Quality engineering & Automation Stage — 45 minutes Artificial Intelligence Clean Architecture AI Agents
As AI agents get better at generating automated tests, a new problem shows up quickly: they write code, but they don’t think in terms of architecture. The result is familiar—tests that work at first, then slowly become flaky, inconsistent, and hard to maintain. Read More...
Sargis Sargsyan