Engineering systems in the AI shift

Doors open

Registration, drinks & snacks

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Talk: AI-native architecture

Software engineering today requires AI-native architectural practices: evolvable contexts, structured collaboration between humans and AI agents, and governance that keeps systems reliable as they learn and change.

This session explores what happens to engineering systems when AI becomes part of the architecture itself.

We’ll look at what could be a natural next step: AI-native architecture as an engineering capability.

Coffee break

Catered food, drinks, networking

Talk: AI agents as operating systems

Modern agents increasingly resemble operating systems in how they coordinate context, tools, memory, and constraints.

Using a real production agent as an example, this session explores:

• structural parallels to operating systems
• what’s genuinely new (self-evolution, identity persistence, embedded ethical boundaries)
• how to reason about agents as infrastructure rather than features

A practical framework for teams building agentic systems beyond prototypes.

Coffee break

Catered food, drinks, networking

Roundtables: System-level AI adoption

Five practitioners will share short inputs, which will be followed by small-group discussions where participants exchange experience and compare approaches.

Topics:‍
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• Organic AI adoption in engineering teams
• Knowledge debt as the biggest risk in AI-native systems
• Control points vs experimental layers
• Ownership and decision-making in AI-assisted engineering
• AI as a structural stress test
• Aligning leadership and engineering in AI adoption

Networking & afterparty

More time to connect over food and drinks.

Talk to peers and get more clarity on how to design AI-native systems, how to adopt it in organizations, and learn how others are doing it.