World Congress 2026 Europe Jul 10, 2026 Session details

User 1st! Technology 2nd! Stop building AI nobody uses - start delivering real business outcomes

Mateusz Gren , Peter Hock

Architecturally flawless AI is worthless if users actively reject it. Learn to shift from an isolated technical builder to an orchestrator of agent teams driving real business outcomes.

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#1 about 4 min

The gap between technical success and user adoption

How building technically flawless architectures often fails to translate into active user engagement.

#2 about 3 min

Entering the ideation phase of the software lifecycle

Why prototyping and rapid coding techniques help navigate cultural and global scaling requirements.

#3 about 3 min

Reverse engineering legacy codebases with large language models

Strategies for understanding and modernizing extensive legacy systems without disrupting existing workflows.

#4 about 2 min

Infusing AI into the middle software development stages

Navigating business ecosystems and complex regulatory compliance by integrating AI into continuous development.

#5 about 3 min

Integrating diverse user personas into automated AI testing

How employing specific personas improves test data generation and accessibility verification.

#6 about 3 min

Tracking user flows to optimize operational enterprise applications

Utilizing journey mapping tools to detect manual process gaps and refine user navigation.

#7 about 3 min

Aligning technical and business goals through joint KPIs

Implementing shared service level agreements and direct satisfaction metrics to drive continuous improvement.

#8 about 3 min

The transforming role of developers in the AI era

Why software engineers are evolving into all-rounders focused on orchestrating intelligent agents and business outcomes.

#9 about 2 min

Applying user-first development principles in enterprise B2B scenarios

Navigating complex integrations and legacy enterprise environments while maintaining user-centric designs.

#10 about 3 min

Prioritizing requirements engineering over cheap automated code generation

Leveraging provocative querying strategies to uncover hidden business needs and improve telemetry data quality.

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Scaling AI adoption to non-traditional enterprise developers

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Bridging constraints between product management and software engineering

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Transitioning software engineering teams to AI-native development workflows

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1:21 min

Using artificial intelligence to reimagine developer experience

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