esoteric.codes

HTML Is Actually a Programming Language. Fight Me | WIRED

When haters deny HTML’s status as a programming language, they’re showing they don’t understand what a language really is. Language is not instructing an interlocutor what to do in a way that leaves no room for other interpretations; it is better and richer than that. Like human language, HTML is conversational. It is remarkably adept at adapting to context. It can take a different shape on any machine, from a desktop browser or an e-reader screen to a mobile app or a screen reader for the blind (so long as that device is built to present hypertext).

Hell, yeah!

Ultimately, even as HTML has become the province of professionals, it cannot be gatekept. This is what makes so many programmers so anxious about the web, and sometimes pathetically desperate to maintain the all-too-real walls they’ve erected between software engineers and web developers.

Hell, yeeeeaaaaahhh!!!

What other programmers might say dismissively is something HTML lovers embrace: Anyone can do it. Whether we’re using complex frameworks or very simple tools, HTML’s promise is that we can build, make, code, and do anything we want.

The subjective experience of coding in different programming languages (Interconnected)

I love the analogies Matt uses to describe the vibes of different kinds of coding:

When I’m deep in multiple nested parentheses in a C-like language, even Python, I feel precarious, like I’m walking a high wire or balancing things in my hands and picking my way down steep stairs.

I haven’t done much Haskell but what I did felt like crawling underground through caves and tunnels.

Opening a terminal window to a distant server is like reaching through a hatch with my arm, but a long way; ssh tunnel is well named.

Writing code with GitHub Copilot and Typescript in full flight feels like, well, flying, or at least great bounding leaps like being on the Moon.

AI isn’t the app, it’s the UI - Stack Overflow Blog

In some ways, the fervor around AI is reminiscent of blockchain hype, which has steadily cooled since its 2021 peak. In almost all cases, blockchain technology serves no purpose but to make software slower, more difficult to fix, and a bigger target for scammers. AI isn’t nearly as frivolous—it has several novel use cases—but many are rightly wary of the resemblance. And there are concerns to be had; AI bears the deceptive appearance of a free lunch and, predictably, has non-obvious downsides that some founders and VCs will insist on learning the hard way.

This is a good level-headed overview of how generative language model tools work.

If something can be reduced to patterns, however elaborate they may be, AI can probably mimic it. That’s what AI does. That’s the whole story.

There’s very practical advice on deciding where and when these tools make sense:

The sweet spot for AI is a context where its choices are limited, transparent, and safe. We should be giving it an API, not an output box.

The lines of code that changed everything.

We construct top-10 lists for movies, games, TV—pieces of work that shape our souls. But we don’t sit around compiling lists of the world’s most consequential bits of code, even though they arguably inform the zeitgeist just as much.

This is a fascinating way to look at the history of computing, by focusing in on culturally significant pieces of code. The whole list is excellent, but if I had to pick a favourite …well, see if you can guess what it is.

Less Bro-gramming: Net Natives host and sponsor Codebar | Net Natives

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).