Ep 17: How Could AI Write Software Much Better Than Humans? With Jon Berger

The Future of Software: Insights from Experience

Discover how seasoned experts (aka old people in computer years) predict the evolution of software development over the next decade, focusing on #AI's transformative role, hardware implications, and the potential for machine-only software.

In this episode:

• Reflection on recent episodes discussing AI and code generation and what they imply for the future
• The challenge of maintaining software
• The shift from human to AI-centric code creation and the implications for trust and reliability
• How hardware limitations and technological advances will shape software design and optimization
• The concept of "wet code" — intentionally un-Dry, performance-optimized, AI-generated code that forgoes human maintainability
• The potential for machine code to replace high-level programming languages entirely
• The evolution from microservices as team management tools to pure operational resilience components
• The revolutionary impact of AI training on code creation, emphasizing self-learning models akin to AlphaGo
• The concept of unikernels and the radical idea of single-kernel systems replacing traditional OS structures
• The importance of shifting from maintainable code by humans to trust-based, AI-driven code systems

This episode explores paradigm-shifting ideas about the core foundation of software and hardware in a future where AI rewrites the very fabric of code creation and system design.

Transcript