Geoffrey Litt

This talk argues that understanding how code works remains crucial for AI engineers and builders, even as agents automate more coding tasks. The core thesis is that human understanding is shifting from verification to participation, enabling creative leaps and preventing cognitive debt. The speaker introduces techniques inspired by educational principles to help individuals and teams deepen their comprehension of AI-generated code.