What would software engineering look like if Large Language Models had arrived before the smartphone? This session explores a counterfactual history of technology, examining how the last 20 years of development would have shifted if AI-driven workflows had been the standard in 2006.

We will dive into the technical constraints of that era—from hardware limitations to data availability—and discuss how our current engineering principles like clean code and scalable architecture would have been forced to evolve much sooner.

Key Takeaways:

1. Infrastructure Analysis: Could 2006 hardware have sustained the birth of LLMs?

2. The Developer Shift: How the transition from manual syntax to AI-assisted logic would have happened a decade earlier.

3. Future Predictions: Using this historical "what-if" to better understand the trajectory of software engineering toward 2036.

Target Audience: Software engineers, computer science students, and tech enthusiasts interested in the evolution of engineering tools.

Preferred Duration: 30–45 minutes.

Technical Requirements: Stable internet connection and HDMI/USB-C output for a slide-heavy presentation.

First Delivery: This would be the first public delivery of this session.

Topic Category: Technology Trends / AI History / Software Engineering Evolution.