AI-enabled software development is shifting engineering focus away from repetitive coding tasks toward higher-level design, review, and architecture. Leaders need to rethink what skills matter most now.
As AI tools generate more code and suggestions, developers must double down on judgment, context, and code ownership rather than trusting outputs blindly.
Engineering teams must adapt onboarding, training, and review processes so they support human/AI collaboration rather than treating AI as a plug-in.
The panel will explore real-world examples of successful AI-enabled development, the pitfalls of overreliance, and how leaders balance speed, oversight, and human insight.
