The ideas and images that come to mind when you think of technology as an instrument are more useful than if you think of it as a tool. Instruments — I’m specifically talking about musical instruments — are a way to create culture.
You approach instruments with a set of expectations and associations that are more humane. It’s built into their very purpose. Instruments are meant to make something for other people, not making things. When you use an instrument, you have an expectation that it is going to take effort to use it well. Using an instrument takes practice. You form a relationship with that object. It becomes part of your identity that you make something with it. You tune it. You understand that there’s no such thing as a “best” guitar in the same way that there’s not necessarily a “best” phone.
Link archive: July 10th, 2018
I really, really like the way that this straightforward accessibility guide is subdivided by discipline. As Maya wrote in the blog post announcing its launch:
Each person on a team, whether you’re a manager, designer, or developer, has a role to play. Your responsibilities are different depending on your role. So that’s how we structured the guide, with a separate section for each of five roles:
- Product management
- Content design
- UX design
- Visual design
- Front-end development
A good explanation of web components, complete with some code examples.
Web Components are not a single technology. Instead, they are series of browser standards defined by the W3C allowing developers to build components in a way the browser can natively understand. These standards include:
- HTML Templates and Slots – Reusable HTML markup with entry points for user-specific markup
- Shadow DOM – DOM encapsulation for markup and styles
- Custom Elements – Defining named custom HTML elements with specific behaviour
There are a lot of static site generators out there!
I remember Jason telling me about this weird service worker caching behaviour a little while back. This piece is a great bit of sleuthing in tracking down the root causes of this strange issue, followed up with a sensible solution.
This strikes me as a sensible way of thinking about machine learning: it’s like when we got relational databases—suddenly we could do more, quicker, and easier …but it doesn’t require us to treat the technology like it’s magic.
An important parallel here is that though relational databases had economy of scale effects, there were limited network or ‘winner takes all’ effects. The database being used by company A doesn’t get better if company B buys the same database software from the same vendor: Safeway’s database doesn’t get better if Caterpillar buys the same one. Much the same actually applies to machine learning: machine learning is all about data, but data is highly specific to particular applications. More handwriting data will make a handwriting recognizer better, and more gas turbine data will make a system that predicts failures in gas turbines better, but the one doesn’t help with the other. Data isn’t fungible.
Paul Ford explains version control in a way that is clear and straightforward, while also being wistful and poetic.
I had idle fantasies about what the world of technology would look like if, instead of files, we were all sharing repositories and managing our lives in git: book projects, code projects, side projects, article drafts, everything. It’s just so damned … safe. I come home, work on something, push the changes back to the master repository, and download it when I get to work. If I needed to collaborate with other people, nothing would need to change. I’d just give them access to my repositories (repos, for short). I imagined myself handing git repos to my kids. “These are yours now. Iteratively add features to them, as I taught you.”
Rachel goes into detail on how she uses pattern libraries—built with Fractal to build interfaces. I know it sounds like we paid her to say all the nice things about Fractal, but honestly, we didn’t even know she was writing this article!
After discovering Fractal two years ago, we have moved every new project — large and small — into Fractal.