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World Congress 2025 • Aug 20, 2025 • Session details

The AI-Ready Stack: Rethinking the Engineering Org of the Future

Alex Laubscher , Jan Oberhauser , Keno Dreßel , Mirko Novakovic

AI won't fix a broken CI/CD pipeline; it merely exposes failures faster. Discover how to rethink your engineering org to conquer review fatigue and iterate at lightspeed.

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#1 about 2 min

The state of AI adoption in engineering

How AI's rapid integration across the software development life cycle introduces new tools, processes, and concerns.

#2 about 2 min

Managing observability using natural language AI agents

How observability workflows transition toward natural language requests and direct fixes in development tools.

#3 about 2 min

Empowering non-engineers to build automated workflows

Changing the engineering function from building ad hoc requests to providing platforms for self-serve process automation.

#4 about 3 min

Adopting agents to write the majority of production code

How code generation shifts the core engineering focus toward critical thinking and creative intent.

#5 about 4 min

Overcoming review fatigue and measuring true engineering productivity

Why excessive automated code generation creates bottlenecks in human review loops and complicates standard productivity metrics.

#6 about 3 min

Using AI tools for rapid prototyping and requirements engineering

Using tools like v0 to rapidly prototype user interfaces and align directly with customer demands.

#7 about 3 min

Encouraging experimentation and sharing of new AI developer tools

Fostering organic discovery of high-value tools by providing developers with liberal evaluation budgets and communication channels.

#8 about 4 min

Adapting engineering interviews to evaluate critical thinking and curiosity

Combating AI-generated resumes by conducting real-time technical assessments both with and without coding assistance.

#9 about 3 min

Maintaining code quality with open standard observability and pipelines

Why generating code rapidly requires stronger continuous integration pipelines and foundational logging tools like OpenTelemetry.

#10 about 4 min

Balancing data privacy and development velocity using local metadata

Keeping proprietary information secure while embracing faster iteration as the primary competitive moat against competitors.

#11 about 3 min

Future predictions for engineering skills and software development tools

Essential skills for long-term engineering success hinge heavily on clear communication and critical problem solving.

Matching moments

5:16 min

Motivations for adopting AI to enhance developer productivity

4:08 min

Transitioning software engineering teams to AI-native development workflows

Florian Deter Florian Deter +4 · WWC Europe 2026

1:38 min

Shifting software engineering skills for an AI-driven future

Patrick Schnell Patrick Schnell · Coffee With Developers

3:45 min

Balancing AI tool mandates with developer trust and productivity

Chris Heilmann +2 · LIVE

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

1:13 min

Adapting the software engineering role for AI collaboration

Przemysław Ładyński Przemysław Ładyński · WWC Europe 2026

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