Onur Agin

Drawing from 20+ years scaling systems at Amazon and UniCredit plus hands-on development with Claude Code and Cursor, I reveal what's really happening as AI transforms software engineering. This isn't vendor hype, it's a strategic examination of the productivity gains, hidden costs, and governance gaps leaders must navigate. You'll understand why 25% AI usage correlates with 7.2% less stability, how the employment market will shift, and what architectural simplification really means for your tech stack. Perfect for CTOs and engineering leaders balancing AI adoption with risk management.

I coined the term "fast-food engineering" after watching AI tools turn coding into an order-and-generate transaction. The results are terrifying. As someone who's built 5 AI-generated applications and caught critical security flaws in each one, I'll show you why the barrier to becoming a developer just hit the floor, and so did the barrier to becoming a hacker. You'll see real examples of AI prefilling passwords on login screens, placing credentials in public folders, and reproducing insecure patterns at scale. This talk answers the urgent question: if AI can't give medical advice but CAN code surgical robot firmware, where are our guardrails? Essential for security leaders, CTOs, and anyone building AI governance frameworks before catastrophe forces them to.