RUG::B

After hits such as, "how to build a trading system... in Ruby" and "how to build a parser... in Ruby", I am sure there are people out there wondering... "Why is no one talking about building a database... in Ruby?". Surely that must be doable!

Well, fear not dear friend. It is and we are going to talk about it. Time permitting (and I happen to have some), we are even going to build a functional one... all in Ruby.

AI is changing how we develop software. Writing code is becoming faster and easier, but this raises new questions about how developers learn, how we evaluate code, and what our role as software engineers becomes.

In this talk, I will explore three areas:

1. Mentoring in times of AI
   How does mentoring change when developers can ask AI for almost any answer? What should we still teach, and how do we help people build real understanding?

2. Code Review in times of AI
   When AI can generate working, tested code in seconds, what should we actually review? The focus shifts from simply finding bugs to understanding architecture, maintainability, trade-offs, and whether the code should exist in the first place.

3. Working with AI
   AI can be a powerful coding partner, but not everything should be delegated. How can we decide what AI should do, where it should assist us, and what we as developers still need to understand and own?

The talk is ultimately about the human skills that become more important as AI becomes better at writing software.