AI coding assistants can accelerate delivery, but over-reliance on them creates
a different kind of risk: skill erosion. When developers fall into a
"prompt-and-accept" workflow, they can lose the critical thinking, debugging,
and architectural judgment needed to catch subtle flaws and make sound
technical decisions.

This session examines how AI changes developer behavior, where that creates
risk for engineering teams, and how to use AI as a complement to human
judgment instead of a replacement for it. Attendees will leave with a clearer
framework for balancing speed, learning, and resilience in AI-assisted
software development.

Attendee Takeaways

Answers for the following questions:

- How can AI coding tools erode developer skills over time?
- What risks does over-reliance on AI create for engineering teams?
- How do we keep developers engaged instead of becoming passive approvers?
- What work should remain firmly owned by human judgment?
- How can teams use AI without weakening long-term capability?