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World Congress 2025 • Jul 24, 2025

AI in Action: Real Use Cases with Real Impact - Hanna Hennig, Michael Ameling, Tobias Regenfuss

Hanna Hennig , Michael Ameling , Tobias Regenfuss , Mike Butcher

Hanna Hennig, Michael Ameling, and Tobias Regenfuss prove that AI's biggest productivity gains belong to senior developers. Discover how autonomous agents and model switchboards are redesigning enterprise software workflows.

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#1 about 3 min

Building an enterprise playground for generative AI experimentation

How launching an internal sandbox enabled employees to test models securely before rolling out widespread generative capabilities.

#2 about 3 min

Embedding AI models and abstracting the underlying technologies

Creating a platform layer that allows organizations to swap models seamlessly while integrating intelligence into business processes.

#3 about 2 min

Applying generative tools across external services and internal operations

Augmenting professional software development and back-office functions through dedicated learning initiatives and organizational hackathons.

#4 about 3 min

Balancing model abstraction with specialized prompt optimization

The technical challenges of remaining model-agnostic while trying to maximize performance and carefully manage varying token costs.

#5 about 4 min

Analyzing initial productivity gains across varying developer seniority

How generative assistance provides different value tiers for experienced engineers versus junior staff finding their footing.

#6 about 4 min

Restructuring junior developer hiring and enterprise onboarding formats

Preparing for shifts in industry demand that alter how emerging talent learns foundational engineering and business practices.

#7 about 2 min

Integrating AI throughout the extensive end-to-end development lifecycle

Moving beyond simple code generation to enhance requirements gathering, system design, testing, and continuous deployment capabilities.

#8 about 2 min

Enforcing security constraints and enterprise scale data compliance

Why strict privacy rules and data sovereignty limits mandate careful monitoring over unconstrained developer tooling experiments.

#9 about 6 min

Transitioning traditional systems into autonomous agentic software architectures

Orchestrating interconnected agents that learn to resolve customer interactions and reconfigure static business procedures entirely automatically.

#10 about 2 min

Predicting software execution speeds and future developer headcount scaling

Forecasting the capacity of highly advanced foundation models to accelerate engineering pipelines without fundamentally displacing engineering staff.

Matching moments

1:56 min

Scaling AI adoption to non-traditional enterprise developers

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

2:52 min

Scaling generative AI use cases across large enterprises

Mike Butcher Mike Butcher +3 · World Congress 2024

1:22 min

Preparing human resources teams for generative and agentic AI

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:42 min

Navigating generative AI adoption in enterprises

Chris Heilmann Chris Heilmann +2 · LIVE

2:52 min

Designing agentic AI solutions for the enterprise

Damir Dobric · Coffee With Developers

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann Chris Heilmann +2 · LIVE

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