AI-assisted coding is everywhere now. Does that mean it's over for software engineers? Not at all! After a quick history of AI, participants work through a live next token prediction exercise to see how LLMs work under the hood. From there, we examine the increasingly popular argument that writing code was never the real bottleneck in software engineering.

Participants meet AI Engineering, an evolution of software engineering that connects AI models to real systems, data, and tools. They learn how it differs from Machine Learning and which technical skills still matter when developers use AI to write code. We also follow the money through GPUs, data centers, and layoffs, cutting through AI washing to separate job replacement from corporate cost cutting. By the end, they'll understand that AI accelerates the work, but engineers still own the result.

A 60 minute interactive talk for college students studying computer science or a related field.