Explore the organizational restructuring needed to effectively adopt AI, focusing on new roles, skills, and workflows within engineering teams. Learn strategies for managing team dynamics and leading successful change in the age of intelligent software development.
From this track
AI is an Amplifier: Scale High Performance, Not Dysfunction
Wednesday Mar 18 / 10:35AM GMT
AI adoption in software development is nearly universal, yet the outcomes for teams are highly variable. Why do some organizations see massive productivity gains while others see their delivery stability crash? DORA’s latest research provides a key insight: AI acts as an amplifier.
Nathen Harvey
Lead of DORA and Product Manager @Google Cloud
Leading Through the Fog: Transparent Communication Strategies for AI Integration
Wednesday Mar 18 / 11:45AM GMT
Details coming soon
Clara Higuera
Responsible AI Program Lead @BBVA - Driving Innovation & Social Impact in AI, PhD Thesis Advisor, Member of OdiseIA, Previously Data Scientist @BBC
The Reinvention of the Dev Team
Wednesday Mar 18 / 01:35PM GMT
I don’t need to tell you that AI has changed software development forever. You know this. Whether you’re positive, negative or indifferent to this change, you can’t deny that the past 2 years have radically changed the role of the software developer.
Hannah Foxwell
Independent Consultant at the Intersection of Platform Engineering, Security, and AI, Founder of AI For the Rest of Us
Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review
Wednesday Mar 18 / 02:45PM GMT
At Duolingo, we realized that successful AI adoption would require deliberate learning — not just access to tools. Over the past year, we scaled AI usage across 300+ engineers through intentional dogfooding programs, live training, office hours, and AI observability dashboards.
Sarah Deitke
Software Engineer @Duolingo
4 AI Native Developer Patterns
Wednesday Mar 18 / 03:55PM GMT
Development is experiencing a new phase of automation, similar to what we saw with DevOps. Numerous new tools are emerging, and it can be challenging to keep up with them.
Patrick Debois
AI Product Engineer @Tessl, Co-Author of the "DevOps Handbook", Content Curator at AI Native Developer Community