Panel – Engineering in Flux Skills, Teams, and Tech

This talk examines the impact of AI-enabled software development on engineering practices, highlighting a shift from repetitive coding tasks to a greater emphasis on design, review, and architecture. As AI tools increasingly generate code and suggestions, the speaker emphasizes the importance of judgment, context, and code ownership in development processes. The session discusses how engineering teams can adapt onboarding, training, and review processes to foster effective human/AI collaboration. Real-world examples of successful AI-enabled development and the challenges of overreliance are explored, along with strategies for leaders to balance speed, oversight, and human insight.