I struggled with how to think about complexity through much of my career, especially during the ten years I spent leading Office development. Modeling complexity impacted how we planned major releases, our technical strategy as we moved to new platforms, how we thought about the impact of new technologies, how we competed with Google Apps, how we thought about open source and throughout “frank and open” discussions with Bill Gates on our long term technical strategy for building the Office applications.
Complexity and Strategy | HackerNoon
I struggled with how to think about complexity through much of my career, especially during the ten years I spent leading Office development. Modeling complexity impacted how we planned major releases, our technical strategy as we moved to new platforms, how we thought about the impact of new technologies, how we competed with Google Apps, how we thought about open source and throughout “frank and open” discussions with Bill Gates on our long term technical strategy for building the Office applications.
Why embracing complexity is the real challenge in software today
In the midst of industry discussions about productivity and automation, it’s all too easy to overlook the importance of properly reckoning with complexity.
How open-source software took over the world | TechCrunch
It was just five years ago that there was an ample dose of skepticism from investors about the viability of open source as a business model. Fast-forward to today and we’ve witnessed the growing excitement in the space.
6 steps to perfecting an open source product strategy
The future of building great products lies in breaking down the boundaries between business and technical thinking.
From Open Source Software to Open Source Strategy
How the Smartest Executives Are Using Open Source Techniques to Optimize Corporate Strategy
“We should be more ambitious with the software we build”
Open source is 20: How it changed programming and business forever
"The reward of victory is often another set of battles."
The Facebook Method of Dealing With Complexity
Computers used to be weak, so we had to make their world simple. Now they can handle endless complexity, but we need to learn how to make the world simple
Complexity is a source of income in open source ecosystems | R-bloggers
I am someone who regularly uses R, and my interest in programming languages means that on a semi-regular basis spend time reading blog posts about the language. Over the last year, or so, I had noticed several patterns of behavior, and after reading a recent blog post things started to make sense (the blog post […]
What Is Open Source Strategy? — Open Tech Strategies | Blog
There is a lot of documentation out there on how to do open source well at the project level. Historically, many projects have been started by developers, often on their own initiative, and the first non-technical questions they faced tended to be about project coordination (like "What collaboration tools shall we use?" or "What will our code review practices be?") and about community management (like "How do we decide who has commit access?" and "How do we integrate newcomers smoothly?"). Because developers hate to solve the same problems over and over, there is a wealth of detailed and varied material addressing those sorts of questions (we've even written some ourselves, but it's just a drop in the bucket of what's available). Taken together, this literature thoroughly answers the question "How do we execute the best tactics for developing open source software?"
All you need is data and functions
It's really easy to tend towards complexity as engineers. I think on some level, we love complexity. There are obviously bad types of complexity, but I think there are other types of it that we seek out, because there's something satisfying about wrapping your head around it; and I think a lot of that kind of complexity ends up in our programming languages.
Computing, Complexity and Degrowth : Systemic Considerations for Digital De-escalation
Research on digital degrowth predominantly critiques digital expansion or presents alternative digital practices. Yet, analyzing the link between digital technologies and complexity is crucial to overcome systemic obstacles hindering digital de-escalation. This article presents the different types of links between complexity and computing observed in the literature: the infrastructural complexity inherent in digital technologies, the socio-political complexity induced by them, and finally, the ontological complexity (individual’s ways of relating to their environment) hindered by digitization. The paper explores these links to identify ways to reduce infrastructural and socio-political complexities, and to move away from the reductionist paradigm, in order to support digital degrowth. Its development shows that complexity induces ratchet effects (i.e. irreversibilities in the development of a technique in a society), rendering degrowth efforts difficult to handle by individuals. Therefore, strategies to overcome these barriers are proposed, suggesting that bottom-up simplification approaches stand a greater chance of making alternatives emerge from different stakeholders (including users). This digital shift assumes the development of methods and technical tools that enable individuals to disengage from their attachments to digital habits and infrastructure, opening a substantial field of study.
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...
HackerNoon - read, write and learn about any technology
How hackers start their afternoon. HackerNoon is a free platform with 25k+ contributing writers. 100M+ humans have visited HackerNoon to learn about technology
HackerNoon - read, write and learn about any technology
How hackers start their afternoon. HackerNoon is a free platform with 25k+ contributing writers. 100M+ humans have visited HackerNoon to learn about technology
HackerNoon - read, write and learn about any technology
How hackers start their afternoon. HackerNoon is a free platform with 25k+ contributing writers. 100M+ humans have visited HackerNoon to learn about technology