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

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

Season 1 Episode 17 Published 1 week, 1 day ago
Description

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

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