A great piece from Danielle on the different mental models needed for different languages. When someone describes a language—like CSS—as “broken”, it may well be that there’s a mismatch in mental models.
CSS isn’t a programming language. It’s a stylesheet language. We shouldn’t expect it to behave like a programming language. It has its own unique landscape and structures, ones that people with programming language mental maps might not expect.
I believe that this mismatch of expectation is what has led to the current explosion of CSS-in-JS solutions. Confronted with a language that seems arbitrary and illogical, and having spent little or no time exposed to the landscape, developers dismiss CSS as ‘broken’ and use systems that either sweep it under the rug, or attempt to force it into alignment with the landscape of a programming language — often sacrificing some of the most powerful features of CSS.
Speaking as an ancient web developer myself, this account by Gina of her journey into Node.js is really insightful. But I can’t help but get exhausted just contemplating the yak-shaving involved in the tooling set-up:
The sheer number of tools and plugins and packages and dependencies and editor setup and build configurations required to do it “the right way” is enough to stall you before you even get started.
The common view is that frameworks make it easier to manage the complexity of your code: the framework abstracts away all the fussy implementation details with techniques like virtual DOM diffing. But that’s not really true. At best, frameworks move the complexity around, away from code that you had to write and into code you didn’t.
Instead, the reason that ideas like React are so wildly and deservedly successful is that they make it easier to manage the complexity of your concepts. Frameworks are primarily a tool for structuring your thoughts, not your code.
I’m crap at object-oriented programming (probably because I don’t get get enough practice), but I’ve had a quick read through this and it looks like a nice clear primer. I shall return and peruse in more depth next time I’m trying to remember how to do all this class-based stuff.
Joschi is documenting his commitment to “contribute at least one meaningful commit a day to a public Open Source project or a similar community effort.” So far it’s a really nice mix of coding and face-to-face activities.
An excellent potted history from Cassie on women in computing.
NASA’s “Keypunch girls” would work in cramped rows translating programming instructions onto paper pads, whilst the machine operators would sit in comfort, feeding the code decks through card readers and enjoying the esteem of the end result (I imagine it a bit like Mad Men, but with more sexism and astronauts).
It reminds me of the old jQuery philosophy: find something and do stuff to it.
A superb 2012 essay by Olia Lialin. J.C.R. Licklider, Vannevar Bush, Ted Nelson, Douglas Engelbart, Don Norman, Lawrence Lessig, Jonathan Zittrain, Douglas Rushkoff and Cory Doctorow all make an appearance.
There’s a lot to think about here. I’m particular struck by the idea that calling people “users” isn’t necessarily the dehumanising Lakoffian language we think it is; users have power and control. If we stop treating people like users, we may end up infantilising and disempowering them.
But when you read it in a broader context, the denial of the word “user” in favor of “people” becomes dangerous. Being a User is the last reminder that there is, whether visible or not, a computer, a programmed system you use.
This is a very thoughtful analysis of different approaches to writing maintainable CSS, which—let’s face it—is the hard bit.
I often joke that I don’t want to hire a code ninja. Ninjas come in the middle of the night and leave a bloody mess.
I want a code janitor. Someone who walks the hallways of code, cleaning up pieces, dusting up neglected parts, shinning up others, tossing unnecessary bits. I prefer this gentler, more accurate analogy. This is the person you want on your team. This is a person you want in your code reviews.
Also, can I just say how refreshing it is to read an article that doesn’t treat the cascade like a disease to be wiped out? This article even goes so far as to suggest that the cascade might actually be a feature—shock! horror!
The cascade can help, if you understand and organize it. This is the same as any sophisticated software design. You can look at what you’re building and make responsible decisions on your build and design. You decide what can be at a top-level and needs to be inherited by other, smaller, pieces.
There’s a lot of really good stuff in here to mull over.
My hope for this article is to encourage developers to think ahead. We’re all in this together, and the best we can do is learn from one another.
But, like Remy, I’m interested in knowing what are the ideas and techniques embedded within large frameworks that will end up making their way into the web stack:
What I want to know is: what should I be taking away from React into my own continued evolution as a web developer?
Never let fear get in the way! Don’t be afraid to continue even when things appear to be impossible, even when the so-called “experts” say it is impossible. Don’t be afraid to stand alone, to be different, to be wrong, to make and admit mistakes, for only those who dare to fail greatly can ever achieve greatly.
Now if you believe that outcomes matter more than understanding, then this is a perfectly acceptable trade-off. After all, we use computers every day without needing to understand the inner workings of every single piece of code under the hood.
(Full disclosure: Kyle also some very kind things about some of my blog posts at the end of that episode, but you can switch it off before it gets to that bit.)
Both Ashley and Kyle bring a much-needed perspective to the discussion of language design. That perspective is the perspective of a teacher.
In his essay on W3C’s design principles, Bert Bos lists learnability among the fundamental driving forces (closely tied to readability). Learnability and teachability are two sides of the same coin, and I find it valuable to examine any language decisions through that lens. With that mind, introducing a new feature into a language that comes with such low teachability value as to warrant a teacher actively telling a student not to learn how things really work …well, that just doesn’t seem right.
People who excel at software design become convinced that they have a unique ability to understand any kind of system at all, from first principles, without prior training, thanks to their superior powers of analysis. Success in the artificially constructed world of software design promotes a dangerous confidence.
Great stuff as usual from Maciej, ending with a rallying cry for us to pay attention to history:
This is not the first time an enthusiastic group of nerds has decided to treat the rest of the world as a science experiment. Earlier attempts to create a rationalist Utopia failed for interesting reasons, and since we bought those lessons at a great price, it would be a shame not to learn them.
There is also prior art in attempts at achieving immortality, limitless wealth, and Galactic domination. We even know what happens if you try to keep dossiers on an entire country.
If we’re going to try all these things again, let’s at least learn from our past, so we can fail in interesting new ways, instead of failing in the same exasperating ways as last time.