Generating code has never been easier, but engineering a production-ready system remains hard. Surviving the clash with real users, strict budgets, compliance regulations, security risks and performance requirements demands more than just effective prompting—especially when AI stops being just a tool in your IDE and becomes a component in your architecture.

Join this session for an architect’s deep dive into the dual challenge of the AI revolution: building with AI and building for AI.

We will discuss the importance of engineering best practices in an era where more code is generated for us, shifting our role towards "architects of intent”. We’ll tackle the rise of agentic systems, manage the friction where deterministic logic meets probabilistic models, and redefine classic architectural quality attributes for the modern, AI-infused stack. All of this will be grounded in real-world examples leveraging low-level technologies and frameworks within the JVM ecosystem.