21 essays on the software revolution — how agile, networked approaches are disrupting industries and remaking society. In English, German, and French.
Breaking Smart: How Software is Eating the World
21 essays on the software revolution — how agile, networked approaches are disrupting industries and remaking society. In English, German, and French.
Breaking Smart: How Software is Eating the World
21 essays on the software revolution — how agile, networked approaches are disrupting industries and remaking society. In English, German, and French.
Breaking Smart: How Software is Eating the World
21 essays on the software revolution — how agile, networked approaches are disrupting industries and remaking society. In English, German, and French.
Breaking Smart: How Software is Eating the World
21 essays on the software revolution — how agile, networked approaches are disrupting industries and remaking society. In English, German, and French.
Breaking Smart: How Software is Eating the World
21 essays on the software revolution — how agile, networked approaches are disrupting industries and remaking society. In English, German, and French.
Breaking Smart: How Software is Eating the World
21 essays on the software revolution — how agile, networked approaches are disrupting industries and remaking society. In English, German, and French.
Breaking Smart: How Software is Eating the World
21 essays on the software revolution — how agile, networked approaches are disrupting industries and remaking society. In English, German, and French.
Breaking Smart: How Software is Eating the World
21 essays on the software revolution — how agile, networked approaches are disrupting industries and remaking society. In English, German, and French.
The Software Revolution
In human history, there have been three great technological revolutions and many smaller ones. The three great ones are the agricultural revolution, the industrial revolution, and the one we are...
Sustainable software manifesto
The systems we build are never neutral. They can magnify harm or support a just and sustainable society. How we build today shapes tomorrow’s possibilities.
The Evolution of Software
Last week Chris Paik published a Google Doc titled, The End of Software, where he articulates the lowering cost of software development and potential implications. He ends the piece with a provocative statement: "Majoring in computer science today will be like majoring in journalism in the late...
The Git-ification of the World — Tim Morrissey
Why AI conquered software first, and what that tells us about which industries are next.
The New Software Lifecycle
I co-wrote a Google whitepaper about how AI is changing the software lifecycle. I'm not going to summarize the whole thing. Instead, here are the handful of ...
The Next Two Years of Software Engineering
Exploring five critical questions shaping software engineering through 2026, with contrasting scenarios for each. These lenses help prepare for the evolving ...
Open Source Is Eating The Software World
It's been said software is eating the world. This year’s Future of Open Source survey points to the fact that open source is eating the software world.
The Evolutionary Ecology of Software: Constraints, Innovation, and the AI Disruption
This chapter investigates the evolutionary ecology of software, focusing on the symbiotic relationship between software and innovation. An interplay between constraints, tinkering, and frequency-dependent selection drives the complex evolutionary trajectories of these socio-technological systems. Our approach integrates agent-based modeling and case studies, drawing on complex network analysis and evolutionary theory to explore how software evolves under the competing forces of novelty generation and imitation. By examining the evolution of programming languages and their impact on developer practices, we illustrate how technological artifacts co-evolve with and shape societal norms, cultural dynamics, and human interactions. This ecological perspective also informs our analysis of the emerging role of AI-driven development tools in software evolution. While large language models (LLMs) provide unprecedented access to information, their widespread adoption introduces new evolutionary pressures that may contribute to cultural stagnation, much like the decline of diversity in past software ecosystems. Understanding the evolutionary pressures introduced by AI-mediated software production is critical for anticipating broader patterns of cultural change, technological adaptation, and the future of software innovation.
