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Don’t Panic! A Hitchhiker’s Guide to Keeping the Human Edge in a Universe of Instant Output

The talk explores how AI accelerates creation but risks eroding the human joy of mastery, intuition, and flow. It invites developers and designers to reflect on preserving creativity, tacit knowledge, and meaningful engagement amid effortless automation, blending insights from developer experience, design thinking, and knowledge management.

Janina Sutter
Janina SutterRed Hat Switzerland

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Tuesday, March 24, 12:30-12:50
Room 7
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AI launches us into an era of vibe coding and vibe designing. Beside the occasional existential eyebrow raise, we celebrate how much more we can create in so little time. And who doesn’t remember that first moment of generating something in seconds and feeling briefly a bit superhuman? It’s a thrill I once chased when becoming an industrial designer: creating a perfect product in as little time as possible. But during my education, I learned a truth AI now tempts us to forget: joy doesn’t come from the output, but from the journey towards it. Real mastery still lives in the wonderfully human process of exploring, experimenting, and wrestling with complexity. Tacit knowledge – the intuition that guides us through outages, refactors, and legacy integrations – doesn’t materialize when we outsource instant output. But when AI generates code and designs in seconds, in which space can developers still build mental models and slip into that rare flow state?
This talk is a hitchhiker’s guide for everyone using AI to accelerate software development: the eager, the cautious, and the mildly alarmed. But this isn’t a talk about whether AI will or won’t replace developers. It’s about something far stranger and more human: Join a journey that spans developer experience, design thinking and knowledge management to explore how to keep the human edge in a universe of effortless artificial creation.
developers
creativity
mastery
ai
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Janina Sutter

Janina Sutter

Red Hat Switzerland

Switzerland

I’ve spent over a decade in IT working with the two perennial stepchildren of software: people and processes. With a first education in industrial design, I learned early that visualisation shapes understanding – and that the journey is the destination. As a huge fan of knowledge management and organisational theory, I today explore how IT teams build knowledge, make decisions, and achieve the flow. As AI pushes us toward instant output, I focus on what keeps humans sharp, curious, and creative in a world where the output seems to count more than ever.

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