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World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

Are We All Prompt Engineers? How AI Changed What It Means to Build Software

Ayotunde Obasa

AI didn't remove engineering; it simply removed typing. Learn how to evolve into an AI-native developer without sacrificing foundational problem-solving skills to skill erosion.

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#1 about 3 min

Redefining code authorship in the AI era

Developer trust in AI-generated code challenges the conventional understanding of software authorship.

#2 about 3 min

The evolution of abstraction in software engineering

The historical progression of coding moves from assembly languages to AI-native abstraction layers.

#3 about 4 min

Transforming the daily engineering workflow with AI

AI tools have drastically reduced the time engineers spend on boilerplate setup and debugging.

#4 about 3 min

Shifting the cognitive load from syntax to system design

Daily engineering tasks have transitioned toward judgment, code review, and critical architectural decisions.

#5 about 3 min

Discovering concurrent reasoning failures in AI generation

A queue worker concurrency failure reveals how AI models can confidently produce incorrect logic.

#6 about 2 min

Recognizing skill erosion from outsourcing logical thought

Relying on AI for complex computations introduces the long-term risk of deteriorating logical reasoning capabilities.

#7 about 2 min

Retaining irreplaceable human skills in software development

Context-specific trade-offs, system architecture, and team alignment remain fundamentally human responsibilities.

#8 about 2 min

Amplifying existing engineering abilities rather than equalizing them

Integrating AI tools acts as a multiplier that exacerbates the performance gap between weak and strong developers.

#9 about 3 min

Building the modern skill stack for abstract problem framing

Modern engineers must move beyond syntax memorization toward capabilities in system thinking and context management.

#10 about 2 min

Adjusting technical interviews for an AI-native industry

Modern engineering evaluations prioritize system design and pull request reviews over traditional algorithm memorization.

#11 about 2 min

Directing mixed intelligence as an AI-native engineer

The software developer must orchestrate autonomous AI tools while maintaining full accountability for production results.

#12 about 2 min

Orchestrating autonomous specialist agents for complex system delivery

Engineers can scale their output by utilizing specialized autonomous agents for frontend, backend, and testing domains.

#13 about 3 min

Actionable strategies for preserving core engineering fundamentals

Engineers must practice fundamental manual coding to properly evaluate AI-generated implementations like a technical lead.

Matching moments

5:30 min

Core engineering skills required in the era of AI

Chris Heilmann +2 · LIVE

1:38 min

Shifting software engineering skills for an AI-driven future

Patrick Schnell Patrick Schnell · Coffee With Developers

4:08 min

Transitioning software engineering teams to AI-native development workflows

Florian Deter Florian Deter +4 · WWC Europe 2026

2:23 min

The transforming role of developers in the AI era

Mateusz Gren Mateusz Gren +1 · WWC Europe 2026

1:13 min

Adapting the software engineering role for AI collaboration

Przemysław Ładyński Przemysław Ładyński · WWC Europe 2026

1:10 min

The future role of developers orchestrating artificial intelligence

Dishu Bagga Dishu Bagga · Europe 2026 Virtual

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