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Thu, April 23FrontEndArchitectureDeepTech
The way digital products are designed and delivered is changing fast. The traditional canvas-to-code model, where visual mockups are handed off to engineers, is collapsing. AI agents can now interpret tokens, patterns, and rules to generate functional prototypes or complete interfaces. In this new world, design is no longer a final output; it is structured input. This shift transforms development into a space for creativity and judgment rather than mechanical implementation.
In this talk, you will explore how structured design systems, semantic components, and policy-aware infrastructure empower developers to shape not just products, but the platforms that build them. Through real-world examples, the session demonstrates how to collaborate effectively with AI orchestration systems by defining the patterns, constraints, and logic they rely on. The rise of intelligent delivery is not about replacement, it is about leadership. The key question for developers is no longer “Will I be replaced?” but “Am I ready to lead?”
What You Will Learn
How AI is transforming the traditional design-to-development workflow
Why design now functions as structured input in an AI-driven delivery process
How developers can lead by defining systems, constraints, and architectures for AI orchestration
Who Should Attend
Developers, software architects, design technologists, and engineering leaders interested in the future of product delivery and human-AI collaboration in software creation.
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Robin Cannon is a product strategist and systems thinker. He works at the intersection of AI, design, developer infrastructure, and digital delivery.
As VP of Product at Knapsack, he’s leading initiatives to build intelligent product systems — transforming structured design and code artifacts into inputs for AI-powered delivery pipelines.
Previously, Robin was the product owner for global design systems at IBM and J.P. Morgan, where he helped enterprise teams build scalable foundations for software design, governance, and compliance.
He speaks and writes regularly about the future of product workflows, the collapse of traditional canvas-to-code models, and how intelligent systems are reshaping the way developers build and ship great products.
