The key challenges of software engineering are two constraints. First, people have limited cognitive capacities that constrain the complexity comprehensible to the human mind. Secondly, despite software's malleable nature, it requires human effort to modify, necessitating architectures that facilitate ease of change. Most innovations in software engineering, such as OOP, Agile, DDD, low-code/no-code, serverless, Team Topologies, and dozens of others, are instruments to prosper under these constraints.

AI can overcome these two constraints and reshape the very essence of software engineering. When AI transcends generating code to (re-)generating and (re-)deploying entire systems and data, we will experience a tectonic paradigm shift in software engineering. Our work and software's role in the business ecosystem will change dramatically.

This talk explores how AI can revolutionize software engineering and provides ideas about what AI-driven software engineering will look like in the future.