Becoming a Developer Who Survives the AI Hype

Session Overview

AI has already seen two booms, two winters, and a quiet revolution—and we’re now entering a third boom. What’s different this time is that we can apply AI directly to real work. While AI research keeps racing toward AGI, the current approaches are complex and call for new architectures. For developers living through this third boom, the imperative is clear: use AI to create real value.
In this session, rather than “playing” with models, I’ll share practical ways to put AI to work—based on hands-on experience applying AI in production.

What you’ll learn:

• Lessons from three AI booms and two AI winters
• The evolution from simple LLMs to AI agents
• What an AI agent actually is
• A hands-on segment using LangChain and Google Gemini (automating data collection → summarization → classification → report writing)