> _**Industrial**_ > > _adj. (sense 3a)_ > > Of or relating to productive work, trade, or manufacture, esp.
The Git-ification of the World — Tim Morrissey
Why AI conquered software first, and what that tells us about which industries are next.
Roadmap: Open Source
After years of investing in open source software, we’re releasing our thinking on what positions these companies as emerging technology giants.
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 Year of the Software Factory
We are building LifeBuild, a personal operating system for your life where AI agents help you draft projects, prioritize your commitments, and stay on top of what matters—from health to relationships to finances and beyond. This Lab Notebook chronicles our explorations.
AI native industrial data platform for manufacturing | UMH
Standardize industrial data across sites and systems to reduce costs, improve efficiency and accelerate execution. Open-source, deployed at production sites across Europe, live in weeks.
OpenAI Calls for New Industrial Policy as AI Reshapes Economy and Governance
OpenAI’s policy paper argues that governments must adopt a new industrial policy to manage AI’s economic disruption.
Software Engineering Productivity Research - Home
The third golden age of software engineering – thanks to AI, with Grady Booch
The third golden age of software engineering – thanks to AI, with Grady Booch
Enterprise Philosophy and the First Wave of AI
The first wave of successful AI implementations will probably look more like the first wave of computing, which was dominated by large-scale enterprise installations that eliminated jobs. Consumer …
LukeW | The Evolution of AI Products
At this point, the use of artificial intelligence and machine learning models in software has a long history. But the past three years really accelerated the ev...
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.
Liberatory Computing
We live under a capitalist mode of computing. The tools, languages, techniques, and assumptions of digital systems are structured by economic forces that shape not just what we can do, but what we can imagine doing. By separating production from use, producing inflexible software, and slicing up computing into siloed apps, your agency is held back by a tech industry that profits from a population rendered computationally passive.
Liberatory Computing
We live under a capitalist mode of computing. The tools, languages, techniques, and assumptions of digital systems are structured by economic forces that shape not just what we can do, but what we can imagine doing. By separating production from use, producing inflexible software, and slicing up computing into siloed apps, your agency is held back by a tech industry that profits from a population rendered computationally passive.
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 ...
