What? I’ve already written the design documentation and done all the creative and architectural parts that I consider most rewarding. All that’s left for coding is answering questions like “what exactly does the API I need to use look like?” and writing a bunch of error handling if statements. That’s toil.

Definitely depends on the person. There are definitely people who are getting 90% of their coding done with AI. I’m one of them. I have over a decade of experience and I consider coding to be the easiest but most laborious part of my job so it’s a welcome change.

One thing that’s really changed the game recently is RAG and tools with very good access to our company’s data. Good context makes a huge difference in the quality of the output. For my latest project, I’ve been using 3 internal tools. An LLM browser plugin which has access to our internal data and let’s you pin pages (and docs) you’re reading for extra focus. A coding assistant, which also has access to internal data and repos but is trained for coding. Unfortunately, it’s not integrated into our IDE. The IDE agent has RAG where you can pin specific files but without broader access to our internal data, its output is a lot poorer.

So my workflow is something like this: My company is already pretty diligent about documenting things so the first step is to write design documentation. The LLM plugin helps with research of some high level questions and helps delve into some of the details. Once that’s all reviewed and approved by everyone involved, we move into task breakdown and implementation.

First, I ask the LLM plugin to write a guide for how to implement a task, given the design documentation. I’m not interested in code, just a translation of design ideas and requirements into actionable steps (even if you don’t have the same setup as me, give this a try. Asking an LLM to reason its way through a guide helps it handle a lot more complicated tasks). Then, I pass that to the coding assistant for code creation, including any relevant files as context. That code gets copied to the IDE. The whole process takes a couple minutes at most and that gets you like 90% there.

Next is to get things compiling. This is either manual or in iteration with the coding assistant. Then before I worry about correctness, I focus on the tests. Get a good test suite up and it’ll catch any problems and let you reflector without causing regressions. Again, this may be partially manual and partially iteration with LLMs. Once the tests look good, then it’s time to get them passing. And this is the point where I start really reading through the code and getting things from 90% to 100%.

All in all, I’m still applying a lot of professional judgement throughout the whole process. But I get to focus on the parts where that judgement is actually needed and not the more mundane and toilsome parts of coding.

My favorite use is actually just to help me name stuff. Give it a short description of what the thing does and get a list of decent names. Refine if they’re all missing something.

Also useful for finding things quickly in generated documentation, by attaching the documentation as context. And I use it when trying to remember some of the more obscure syntax stuff.

As for coding assistants, they can help quickly fill in boilerplate or maybe autocomplete a line or two. I don’t use it for generating whole functions or anything larger.

So I get some nice marginal benefits out of it. I definitely like it. It’s got a ways to go before it replaces the programming part of my job, though.

We butchered humanlike / 10

Sure you can move some parts of the conversation to a review session, though I think the answers will be heavily influenced by hindsight at that point. For example, hearing about dead end paths they considered can be very informative in a way that I think candidates assume is negative. Nobody expects you to get it right the first time and telling the interviewer about your binary tree solution (that actually doesn’t work) can be a good thing.

But the biggest problem I think with not being in the room as an interviewer is that you lose the opportunity to hint and direct the candidate away from unproductive solutions or use of time. There are people who won’t ask questions about things that are ambiguous or they’ll misinterpret the program and that shouldn’t be a deal breaker.

Usually it only takes a very subtle nudge to get things back on track, otherwise you wind up getting a solution that’s not at all what you’re looking for (and more importantly, doesn’t demonstrate the knowledge you’re looking for). Or maybe you wind up with barely a solution because the candidate spent most of their time spinning their wheels. A good portion of the questions I ask during an interview serve this purpose of keeping the focus of the candidate on the right things.

I’m not sure that offline or alone coding tests are any better. A good coding interview should be about a lot more than just seeing if they produce well structured and optimal code. It’s about seeing what kinds of questions they’ll ask, what kind of alternatives and trade offs they’ll consider, probing some of the decisions they make. All the stuff that goes into being a good SWE, which you can demonstrate even if you’re having trouble coming up with the optimal solution to this particular problem.

The language model isn’t teaching anything it is changing the wording of something and spitting it back out. And in some cases, not changing the wording at all, just spitting the information back out, without paying the copyright source.

You could honestly say the same about most “teaching” that a student without a real comprehension of the subject does for another student. But ultimately, that’s beside the point. Because changing the wording, structure, and presentation is all that is necessary to avoid copyright violation. You cannot copyright the information. Only a specific expression of it.

There’s no special exception for AI here. That’s how copyright works for you, me, the student, and the AI. And if you’re hoping that copyright is going to save you from the outcomes you’re worried about, it won’t.

Makes sense to me. Search indices tend to store large amounts of copyrighted material yet they don’t violate copyright. What matters is whether or not you’re redistributing illegal copies of the material.

If I understand correctly they are ruling you can by a book once, and redistribute the information to as many people you want without consequences. Aka 1 student should be able to buy a textbook and redistribute it to all other students for free. (Yet the rules only work for companies apparently, as the students would still be committing a crime)

A student can absolutely buy a text book and then teach the other students the information in it for free. That’s not redistribution. Redistribution would mean making copies of the book to hand out. That’s illegal for people and companies.

It seems like a lot of people misunderstand copyright so let’s be clear: the answer is yes. You can absolutely digitize your books. You can rip your movies and store them on a home server and run them through compression algorithms.

Copyright exists to prevent others from redistributing your work so as long as you’re doing all of that for personal use, the copyright owner has no say over what you do with it.

You even have some degree of latitude to create and distribute transformative works with a violation only occurring when you distribute something pretty damn close to a copy of the original. Some perfectly legal examples: create a word cloud of a book, analyze the tone of news article to help you trade stocks, produce an image containing the most prominent color in every frame of a movie, or create a search index of the words found on all websites on the internet.

You can absolutely do the same kinds of things an AI does with a work as a human.

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Oh look what was just posted today: https://youtu.be/Cp5oajtBbtg

TLDW: It’s been proposed. Turn’s out it’s really hard to even do that.

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Wikipedia has a whole list of citations on this very sentence lol.

There is near unanimous consensus among economists that tariffs are self-defeating and have a negative effect on economic growth and economic welfare

https://en.m.wikipedia.org/wiki/Tariff

Tariffs are a net negative. Always. The things produced will not be competitive on the global market, if they were, we’d already be making them. The higher prices always destroy more jobs than they create. Retaliatory tariffs destroy even more jobs. The higher prices drive down demand and make the working class consumer poorer. Always.

There’s no economic upside to tariffs, over any time horizon. They create a small number of jobs in a specific sector at a very expensive cost. Some politicians might decide that the enormous economic cost is worth it for other reasons, but a net positive they are not.

I wouldn’t base your decision on what Lemmy says. They’re pretty unreasonably salty about the game. Reviews from players are very positive and the game’s only $23 right now.

• Despite what they’re saying, there is actually a lot of legitimately interesting and sometimes fantastical biomes and this update has added even more.
• There are a lot of different parts of the game that you can pretty casually engage in. Various missions, settlements, settlement management, ship collecting, manufacturing, fleet management, trading, piracy, archeology, and more.
• It’s a relaxation game for me. Just hop on, pick a direction, and go. Do whatever piques your interest in the moment.

If “casual” and “relaxing” are dirty words for you, then it probably isn’t up your alley. It’s certainly not going to be intense and action packed (though it does have its moments). But it’s a good game if you, like me, sometimes get tired of the sweaty online shit, crunchy brain melting games, and the overall weight of life in the real.

There’s no good party for most people but that doesn’t stop many of them from demanding better from their parties. The story, though, is about how Christians are demanding their religious leaders change rather than demand better from their politicians.

I don’t mean to imply that Christianity is progressive. But how a person reacts when politics is at odds with their religious beliefs is illuminating. Do their political beliefs follow from sincerely held religious beliefs? Or do they contort their religion in service of their political beliefs? For much of the religious right, it’s clearly the latter.

It is definitely telling that when conservatism has come at odds with Christianity, so many Christians have chosen to abandon Christianity instead of abandoning conservatism.

I work at a pretty progressive company (comparatively but definitely not perfect) and DEI there has nothing to do with preferential treatment, nor does it need to be.

The fact is that if you want to hire the top X people in the labor market, but your hiring and business practices exclude, say, half of that market, you absolutely will not get the actual top X. You will have to reach deeper into your half and be forced to pick people that are less qualified and/or capable.

So DEI, at least where I’m at, is about widening that pool so that you can actually get top talent. That means reevaluating your business practices to figure out why you’re excluding top talent. Maybe your recruiters always go to specific colleges for recruitment and certain websites. Maybe just the way they’re talking to candidates is more attractive to a certain type of person. Maybe you’ve got hiring requirements and an interview process that is not actually predictive of success. Maybe candidates are looking for some benefit that you’re not offering. Everything needs to be looked at.

For example, “Women just want more flexible working arrangements so that’s why we can’t get them” is something I hear often. Well, have you actually evaluated why your company is so inflexible? Is it actually necessary? Or are your executives a bunch of people who learned how to manage in the 20th century and haven’t changed since then? Maybe there are things you can do to enter the 21st century and make room for more women, not just because they’re women, but because you gain access to people who are actually better at their job than the ones you’ve had. Not every company can be supremely flexible, of course, but the number of times that inflexibility is actually necessary of much smaller than its prevalence.

The demographic breakdown of your workforce is a quick and easy weathervane to help figure out how these efforts but of course they’re not everything. Diversity comes in maybe forms, not just skin color and genitals. But in my company they’re used in a backwards looking manner, to see how new policies are working, not for quota filling and preferential treatment.