A look at the ever-present drive to make software delivery faster and how it might break down various activity loops in organizations.
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 ...
Opinion | The A.I. Disruption Has Arrived, and It Sure Is Fun
We’re entering a new renaissance of software development. We should all be excited, despite the uncertainties that lie ahead.
Improving My Hardware Workflow With CI and Nix
One thing you might notice if you read my blog is that I do a lot of hardware projects. Generally, these include a board, some software, and possibly some extraneous components (like CAD design, such as a case). Software tooling is quite mature, but I find that hardware had traditionally lagged quite a bit behind. For a while, I just lived with this, but over the last few months I've put in a bunch of effort to improve my workflow.
psf (@psf@oldbytes.space)
In their article ["Malleable Software"](https://www.inkandswitch.com/essay/malleable-software), Ink & Switch list various ways that modern software applications fail to serve the user: - Software is too rigid: users can’t tailor it to suit their workflow, except by entering the role of programmers. - Software applications are overspecialized "avocado slicers", not general tools like "knives", so their lack of tailorability is keenly felt. - Software doesn’t provide a reasonable learning curve from beginner to expert; in other words, time spent learning an application doesn’t unlock tailorability, instead the end user must learn an unrelated skill like a markup/scripting language or even the tool’s implementation language. - Software applications are increasingly siloed, so sharing data between apps, let alone orchestrating cross-app workflows, is overly difficult. These are real problems. From what I can tell, Ink & Switch are software researchers, and view the problems from a highly technical perspective, focusing on novel infrastructure that enables end-user programmability. They pose questions such as "how do we ease users into programming?" and "instead of shipping a dead, static binary, can we ship a living image containing programming tools allowing it to be modified in arbitrary ways while still running?" These ideas are technologically exquisite, but they fail to provide a gentle learning curve. (cont'd) 🧵
Evaluations Are the Real Codebase - The Phoenix Architecture
Why behavior outlives implementations
AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds
GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review bottlenecks and new challenges for enterprise governance and traceability.
The peril of laziness lost | The Observation Deck
In his classic Programming Perl — affectionately known to a generation of technologists as "the Camel Book" — Larry Wall famously wrote of the three virtues of a programmer as laziness, impatience, and hubris: If we’re going to talk about good software design, we have to talk about Laziness, Impatience, and Hubris, the basis of good software design. We’ve all fallen into the trap of using cut-and-paste when we should have defined a higher-level abstraction, if only just a loop or subroutine. To be sure, some folks have gone to the opposite extreme of defining ever-growing mounds of higher level abstractions when they should have used cut-and-paste. Generally, though, most of us need to think about using more abstraction rather than less.
Software engineering under the spotlight
Think of a tech company as a giant, dimly-lit factory. Work goes on throughout the factory as components shuffle back and forth, and finished products get steadily carted away, but the coordination and efficiency of each section is fairly low. Some parts of the factory get jammed up and don’t do anything for days. Other parts are manically producing broken components which are thrown away unused. However, the factory manager - i.e. the tech company CEO - has one tool to combat this problem. That tool is the spotlight.
Work Trend Index: Microsoft’s latest research on the ways we work.
The Work Trend Index provides data-driven insights to help people and organizations thrive amid ongoing change and disruption.
Local-First Software: Taking Back Control of Our Data | a mini-doc
What Even Is An OS Now?
Computers now work the way I thought they did when I was 8. What does computing look like when most applications have an audience of 1-2 people? I'm leaving Fly.io to build a phone for that world.
AI Doesn’t Reduce Work—It Intensifies It
One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple. These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems. To correct for this, companies need to adopt an “AI practice,” or a set of norms and standards around AI use that can include intentional pauses, sequencing work, and adding more human grounding.
Software as Fast Fashion
Clothes have never been cheaper. These days a t-shirt is often cheaper than a decent cup of tea in a cafe. The wonders of capitalism. At least that is how it is often described. And when you point at the underpaid, gruesome labor that people in poorer regions of the planet have to do to […]
File Over App: A Philosophy for Digital Longevity
My take on the 'file over app' philosophy and why it’s essential for keeping my data resilient and built to last.
What happens when AI replaces the parts of work people love?
We’re using AI to move faster. I’m not yet convinced we’re using it to work better.
