Link tags: programming

trot

Working on this project is great but ten minutes into it and I already miss the resilience of the web. I miss how you have to really fuck things up to make a browser yell at you or implode.

Software Folklore ― Andreas Zwinkau

Detective stories and tales of bughunting in software and hardware.

Sometimes bugs have symptoms beyond belief. This is a collection of such stories from around the web.

What I’ve learned about writing AI apps so far | Seldo.com

LLMs are good at transforming text into less text

Laurie is really onto something with this:

This is the biggest and most fundamental thing about LLMs, and a great rule of thumb for what’s going to be an effective LLM application. Is what you’re doing taking a large amount of text and asking the LLM to convert it into a smaller amount of text? Then it’s probably going to be great at it. If you’re asking it to convert into a roughly equal amount of text it will be so-so. If you’re asking it to create more text than you gave it, forget about it.

Depending how much of the hype around AI you’ve taken on board, the idea that they “take text and turn it into less text” might seem gigantic back-pedal away from previous claims of what AI can do. But taking text and turning it into less text is still an enormous field of endeavour, and a huge market. It’s still very exciting, all the more exciting because it’s got clear boundaries and isn’t hype-driven over-reaching, or dependent on LLMs overnight becoming way better than they currently are.

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.

CSS wants to be a system - daverupert.com

CSS wants you to build a system with it. It wants styles to build up, not flatten down.

Truth!

Tabloid: the clickbait headline programming language

Tabloid is a turing-complete programming language for writing programs in the style of clickbait news headlines.

I don’t have time to learn React - Keith Cirkel

React is a non-transferable skill.

React proponents might claim that React will teach you modern UI, but from what I’ve seen it barely copes with modern UI. autofocus is broken, custom elements don’t work in all but the experimental version, using any “modern” features like dialog or popovers requires useEffect, and the synthetic event system teaches you so little about how DOM actually works. This isn’t modern UI, it’s UI from 2013 at its inception. I don’t have the time left in my career to pick up UI paradigms that haven’t evolved much beyond from when Barack Obama was in office.

When I mentor early career developers and they ask me what they should learn, I can’t say React, they don’t have time. I mean sure, pick up enough React to land you the inevitable job doing it, but it’s not going to level up your career.

The goal isn’t to write less code | Go Make Things

The goal isn’t to write less code.

It’s to ship less code to users. Better code. Faster code. More resilient code.

THIS!

Sooooo many front-end developers don’t grasp this fundamental principle: it’s not about you!

Generative AI Is Not Going To Build Your Engineering Team For You - Stack Overflow

People act like writing code is the hard part of software. It is not. It never has been, it never will be. Writing code is the easiest part of software engineering, and it’s getting easier by the day. The hard parts are what you do with that code—operating it, understanding it, extending it, and governing it over its entire lifecycle.

The present wave of generative AI tools has done a lot to help us generate lots of code, very fast. The easy parts are becoming even easier, at a truly remarkable pace. But it has not done a thing to aid in the work of managing, understanding, or operating that code. If anything, it has only made the hard jobs harder.

Home-Cooked Software and Barefoot Developers

A very thought-provoking presentation from Maggie on how software development might be democratised.

The deskilling of web dev is harming the product but, more importantly, it’s damaging our health – this is why burnout happens – Baldur Bjarnason

A depressing but accurate description of the economics of web development.

The quiet, pervasive devaluation of frontend - Josh Collinsworth blog

It’s like CSS exists in some bizarre quantum state; somehow both too complex to use, yet too simple to take seriously, all at once.

In many ways, CSS has greater impact than any other language on a user’s experience, which often directly influences success. Why, then, is its role so belittled?

Writing CSS seems to be regarded much like taking notes in a meeting, complete with the implicit sexism and devaluation of the note taker’s importance in the room.

I worry our Copilot is leaving some passengers behind - Josh Collinsworth blog

Products of all kinds are required to ensure misuse is discouraged, at a minimum, if not difficult or impossible. I don’t see why LLMs should be any different.

LLMs and Programming in the first days of 2024

What strikes me about my personal experience with LLMs is that I have learned precisely when to use them and when their use would only slow me down. I have also learned that LLMs are a bit like Wikipedia and all the video courses scattered on YouTube: they help those with the will, ability, and discipline, but they are of marginal benefit to those who have fallen behind. I fear that at least initially, they will only benefit those who already have an advantage.

Eigensolutions: composability as the antidote to overfit • Lea Verou

I love, love, love the deep thinking that Lea has put into this, really digging into the guts of what design does.

Overfitting happens when solutions don’t generalize sufficiently and is a hallmark of poor design. Eigensolutions are the opposite: solutions that generalize so much they expose links between seemingly unrelated use cases. Designing eigensolutions takes a mindset shift from linear design to composability.

Lea ties this into web standards too. It’s really helped clarify for me why I want more declarative options for common use cases (like a share button)—it’s about raising the ceiling without raising the floor.

Pipe Dreams: The life and times of Yahoo Pipes

Yahoo PIpes was ahead of its time. Here’s a nostalgic retrospective by Glenn Fleishman.

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.

Losing the imitation game

The hard part of programming is building and maintaining a useful mental model of a complex system. The easy part is writing code. They’re positioning this tool as a universal solution, but it’s only capable of doing the easy part. And even then, it’s not able to do that part reliably. Human engineers will still have to evaluate and review the code that an AI writes. But they’ll now have to do it without the benefit of having anyone who understands it. No one can explain it. No one can explain what they were thinking when they wrote it. No one can explain what they expect it to do. Every choice made in writing software is a choice not to do things in a different way. And there will be no one who can explain why they made this choice, and not those others. In part because it wasn’t even a decision that was made. It was a probability that was realized.

This post also has a really good explanation of how large language models work.

There may be real, productive uses for these kinds of tools. There may be ways to build and deploy them ethically and sustainably. But that’s not the situation with the instances we have. AI, as it’s been built today, is a tool to sell out our collective futures in order to enrich already wealthy people. They like to frame it as being akin to nuclear science. But we should really see it as being more like fossil fuels.

A Coder Considers the Waning Days of the Craft | The New Yorker

GPT-4 is impressive, but a layperson can’t wield it the way a programmer can. I still feel secure in my profession. In fact, I feel somewhat more secure than before. As software gets easier to make, it’ll proliferate; programmers will be tasked with its design, its configuration, and its maintenance. And though I’ve always found the fiddly parts of programming the most calming, and the most essential, I’m not especially good at them. I’ve failed many classic coding interview tests of the kind you find at Big Tech companies. The thing I’m relatively good at is knowing what’s worth building, what users like, how to communicate both technically and humanely. A friend of mine has called this A.I. moment “the revenge of the so-so programmer.” As coding per se begins to matter less, maybe softer skills will shine.

The Illusion Of Developer “Productivity” Opens The Door To Snake Oil – Codemanship’s Blog

There are a lot of astute observations in here.