LLM's tend to regurgitate known design patterns and familiar UX. Like those typical "keep scrolling down to learn about our app as we show you animations" - gets a bit of.
But there's way more LLMs can do, like assist you in connecting dots in complex codebases, find patterns to refactor given some rules, provide ideas, allow you to dig in dependencies to find apis that are undocumented or edge cases that are subtle to find, find information that you might've had to dig up by endless google queries and hard to find GitHub issues, provide support in technologies you have sometimes to use (sed, awk, regexes, Google sheets apis, etc) but you just don't care enough to learn because it happens to use them few times an year allowing you to focus on what matters, etc, etc.
I'm frankly tired of those pointless debates conflating LLMs in the context of code just for the same boring arguments of people hating on vibecoding or thinking every developer is delegating everything to AI and pushing slop. If that's your colleagues fire them. They are indeed useless and can be replaced by a prompt.
If one cannot see the infinite uses of LLMs even just for supporting, without ever authoring a single line of code or never ever touching a file, it's only been that person limiting it's own growth and productivity.
Seriously, this is beyond tiring.
> it's only been that person limiting it's own growth and productivity.
Maybe limiting raw productivity, but I sure don't buy that it limits growth. Maybe if all you ever did was copy and paste off of SO, but taking the time to study and deeply understand something is going to be much better for your overall growth. Also collaborating with humans instead of robots is always nice.
Just like a chess engine beats any human.
People think LLMs are still at the point of programming based on what they learned from the data they scraped. We're well past that. We're at the point of heavy reinforcement learning. LLMs will train on billions of LoC of synthetic code they generate, like chess engines train on self-play games.
I use AI, what I'm tired of is shills and post-apocalyptic prophets
I am still concerned with how it's going to impact society going forward. The idea of what this is being used for by those with a monopoly on the use of violence is terrifying: https://www.palantir.com/platforms/aip/
Am I a shill or a post-apocalyptic prophet?
People would do much better if they just stopped listening so much and started thinking and doing a bit more. But as a lazy person, I definitely understand why it's hard, it requires effort.
And for some reason the CxO suite and upper management has completely drunk the cool-aid.
In the past new technology was adopted sparingly, to figure out whether the juice was worth the squeeze.
However with AI it feels like a lot of places are (trying to go|going) all in, both in their work, and integrating it into the products, regardless of whether it makes sense.
But most importantly, I think pushback is needed because if AI succeeds in the way it is currently advertised and sold, it's a lot more people than 'just' the Software Engineers that are going to lose their jobs.
Which is great for all those companies who currently have a lot less people on payroll.
But on the other hand, a lot of the money spent on these companies is discretionary spending. Guess what's the first thing to be cut when you lose your job?
I just don't really wanna hear about your pro-AI peddling anymore.
(For me it's been as transformational a change as discovering I could do my high school homework on a word processor in the 90s when what I suspect was undiagnosed dyspraxia made writing large volumes of text by hand very painful).
I'm also interested in understanding if the envisaged transformation of developers into orchestrators, supervisors, tastemakers and curators is realistic, desirable or possible. And if that is even the correct mental model.
And I don't want to hear about how the world of software engineering has been revolutionized because you always hated programming with a passion, but can now instead pay $200 to have Claude bring your groundbreaking B2B SaaS Todo app idea to life, yet that's basically all I hear about in any tech discussion space.
You should ask your AI assistant to explain to you why people would go out of their way to take a stand against this.
Low quality (low precision) news, code, marketing, diagnosis, articles, books, food, entertainment (shorts, tik-tok), engineering is in my opinion the biggest problem in XXI century so far.
Low quality AI usage decisions, low quality AI marketing, retraining, placement, investments are accelerating the worst trends even more. It's like Soviet nuclear trains - just because nuclear is powerful and real it doesn't mean most of it's applications made any sense.
So as a pro-AI person and AI-builder in general, I want more anti-AI-slop content, more pro-discipline opinions.
The same person who ignores a crooked door frame or a CSS overflow now has a "mostly right" button to bring mediocrity to scale. We unfortunately aren't invested in teaching craftsmanship as a society.
It's fine to be tired of this. What is not fine is pretending your beliefs/feelings represent everybody else's.
No one forcing you to read the article. He is as free to write what he wants as you are to complain about it. Balanced. Like all things should be.
Many of my coworkers have embraced AI coding and the quality of our product has suffered for it. They deliver bad, hard-to-support software that technically checks some boxes and then rush on to produce more slop. It feels like a regression to the days of measuring LOC as a proxy for productivity.
Also when I hear another human suggest using AI for ____, my perception of them is that they are an unserious person.
So in my opinion AI has had a net negative effect on the world so far. Reading through this persons AI policy resonates with me. It tells me they are a thoughtful individual who cares about their work and the broader implications of using AI.
Let's do a quick analysis of the amount of money put forth to push AI:
> OpenAI has raised a total of $57.9B over 9 funding rounds
> Groq has raised a total of $1.75 billion as of September, 2025
Well, we could go on, but I think that's probably a good enough start.
I looked into it, but I wasn't able to find information on funding rounds that David Bushell had undergone for his anti-AI agenda. So I would assume that he didn't get paid for it, so I guess it's about $0.
Meanwhile:
- My mobile phone keyboard has "AI"
- Gmail has "AI". Google docs has "AI". At one point every app was becoming a chat app, then a TikTok clone. Now every app is a ChatGPT or Gemini frontend.
- I'm using a fork of Firefox that removes most of the junk, and there's still some "AI" in the form of Link Preview summaries.
- Windows has "AI". Notepad has "AI". MS Paint has "AI".
- GitHub stuck an AI button in place of where the notifications button was, then, presumably after being called every single slur imaginable about 50000 times per day, moved it thirty or so pixels over and added about six more AI buttons to the UI. They have a mildly useful AI code review feature, but it's surprisingly half-baked considering how heavily it is marketed. And I'm not even talking about the actual models being limited, the integration itself is lame. I still consider it mildly useful for catching typos, but that is not with several billion dollars of investment.
- Sometimes when I log into Hacker News, more than half of the posts are about AI. Sometimes you get bored of it, so you start trying to look at entries that are not overtly about AI, but find that most of those are actually also about AI, and if not specifically about AI, goes on a 20 minute tangent about AI at some point.
- Every day every chat every TV program every person online has been talking about AI this AI that for literally the past couple of years. Literally.
- I find a new open source project. Looks good at first. Start to get excited. Dig deeper, things start to look "off". It's not as mature or finished as it looks. The README has a "Directory Structure" listing for some odd reason. There's a diagram of the architecture in a fixed width font, but the whitespace is misaligned on some lines. There's comments in the code that reference things like "but the user requested..." as if, the code wasn't written by the user. Because it wasn't, and worse, it wasn't read by them either. They posted it as if they wrote it making no mention at all that it was prompts they didn't read, wasting everyone's time with half-baked crapware.
And you're tired of anti-AI sentiment? Well God damn, allow me to Stable Diffusion generate the world's smallest violin and synthesize a song to play on it using OpenAI Jukebox.
I'm not really strictly against AI entirely, but it is the most overhyped technology in human history.
And I don't ever see it under a fifth, anymore. There is a Hell of a marketing push going on, and it's genuinely hard to tell the difference between the AI true believers and the marketing bots.
My scanner from 2003 has OCR.
Gaming has a very rich history with AI innovations. 1996's Creatures is a standout example.
AI has always been everywhere around you. AI predates me and you. The reason you're hearing about it now is because of the capability increase brought about by the lower cost of greater scale. But it's still in the uncanny valley. It is still flawed. To paraphrase John McCarthy, that's what makes it AI [^1].
I know you're fatigued from hearing about AI for the last three years. But I have been hearing about it for decades with the same magnitude of excitement and dismissal from pro-AI and anti-AI critics. Alan Turing laid the foundations for the technological singularity in 1950. Discourse has accelerated since the early 80's and 90's by writers like Vernor Vinge and computer scientists like Ray Kurzveil.
I encourage you to pay attention. Not to recent hype, but to what is actually happening. Steady innovation as always. That you were blindsided by it is curious.
Is it so hard to understand why people are reacting against this argument?
There are entire sites dedicated to car reviews. This is a hackers website. Makes sense that the most evolving tool for the job is most discussed.
What else is really changing? CSS added a couple new properties? C++ new standard still didn't add modules (but the year changed!)?
Everyone else is just busy using it to get work done.
No, because the banner is cut off on my phone.
I don't really understand the policy either. I assumed this was a contractor's website. I've never met one who accepted tool recommendations and never a company who cared. Use Solaris and emacs for all I care.
It's much more fun to write code than to review code.
As a software engineer, you don’t get paid for simply writing code, people pay u for problem-solving.
It’s an absolute joy to be able to achieve essentially anything (within reason), things that previously I’d have known how to design but not build in any reasonable timeframe.
Who are these anti AI programmers? Computing and programming has just been unlocked and they’re not interested.
I’ve always had far more ideas than I’d ever be able to build and now I can get at least some of them built very quickly. I just don’t understand why this would t be exciting to a developer.
20 years ahead it will be completely taken for granted that computers can program themselves and we will look back on that painful era when every line of code had to be hand written by wizards and it will look ancient and quaint.
Join the party, join the revolution it’s incredible fun to be able to create beyond your hand coding skills.
Perhaps something will change, but right now, Claude code does not change anything for me. If what I do is ancient and quaint, so be it. I’m not competing for who can churn out the most code, never have, never will, because that’s not what software development is about.
I did not say that.
>> But there are many people who have spent years building the skills necessary to be able to realize all of their ideas, and that their ideas are inextricably linked to the process.
I have been designing and building software for 35 years and have many open source projects.
You are implying that I don’t know how to program and I need AI to build stuff. Evidence to the contrary is on my GitHub.
It’s typical anti AI to suggest that you must love AI because you have no real skill.
You are confusing abstraction with implementation.
Abstraction is the tool that allows you to build bigger and better architectures. Implementation is just putting knowledge into practice. And that can be automated away. Compilers, code generators, DSLs, interpreters, and template languages are all examples of automating practical implementation details.
I would wager most people learn about computing top-down (start with a high level language like Python before exploring C or C++, or getting into kernel or embedded systems firmware development) rather than bottom-up (learning Maxwell's equations, Boolean algebra, logic gates, digital circuit design, CPU architectures, machine language, operating systems, C++, Python, ...)
Exploring the levels of abstraction is great for an inquisitive mind. But it isn't for everybody. Knowing all of the great designs for digital circuits doesn't give you any great ideas for software design. No one has to know anything about operating systems or memory models to build an OpenAPI client or server interface. That's the power of abstraction.
> I could defer to Claude code for all my work, and I’d be frozen in time, never to progress again, losing everything that makes my work my work.
Extraordinary claims require extraordinary evidence. What makes you believe you would never be curious enough to explore a new knowledge domain with Claude?
You're telling me that whatever motivated you to spend years in your editor would strangely evaporate the moment you begin using a new tool? Why? Are you just confident you that you _want_ to give up on being interested in new things? I'm really having trouble rationalizing the claim. It would have to be self-sabotage.
For one, I think there's a sense of unfairness that people are expressing as well. A skill that took considerable time to learn and build up can be reproduced with a machine and that just feels unfair. Another, is obviously companies mandating employees use AI in their work. And then there's the environmental cost in training. Then there are the cases where it's being just for slop or submitting PRs that have not even been reviewed by their creator.
In my opinion, all of these factors make people refuse to see that some of us actually do find use for these tools and that we're not vibe-coding everything in some mad rush to ship trash.
I love creation and creating computer software. A vision appears in my head for a software idea and I have to build it, I am utterly compelled.
So I had to learn to program. I quite like programming it’s good to feel clever.
But my deepest joy is creating and it’s like a gift from heaven to get LLMs that can help me realize even my most ambitious creative visions.
It’s the outcome I want, not the experience of getting there.
I absolutely love what LLMs have brought to programming - accelerated creation.
Sure, there are some boring rote parts of coding, just like sawing boards might not be the most enjoyable part of woodworking. I guess you could use AI as the analog of power tools (would that be using AI to generate awk and jq command lines?). But I wouldn't want to use a CNC router and take all the fun and skill out of the craft, nor do I find agentic AI enjoyable.
And AIs fail badly anyway when you are doing things not found much online, e.g. in embedded microcontroller development (which I do) or with company internal frameworks.
I fully respect this. Lots of craftspeople love to work with wood by hand whilst factories build furniture on an industrial scale.
>> AIs fail badly anyway when you are doing things not found much online, e.g. in embedded microcontroller development (which I do)
But you are very wrong about embedded systems development and AI. I do a huge amount of microcontroller programming and AI is a massive productivity multiplier and the LLMs are extremely good at it.
Because it doesn't work in a useful way.
Yesterday in 3 hours I built a fully working golang program that captures all browser network traffic from chrome and Firefox and filters and logs it with a TUI and includes a wide range of help and checks and fine tuning and environment config and command line options. Multiple cycles of debugging and problem solving and refinement until it was finished.
That is simply not possible to do by hand.
And if you don’t believe this, you think I’m exaggerating, then yeah you’re being left behind while the industry moves forward.
I'm interested to hear more about the rationale behind the "remain employable" part of this line.
All things equal, we would normally expect someone deliberately saying they won't use a certain tool to perform a certain job as limiting their employment opportunities, not expanding it. The classic example is people who refuse to drive for work; there are good non-employment reasons for this (driving is the most dangerous thing many people do on a daily basis) but it's hard to argue that it doesn't restrict where one can work.
I think the most likely rationale is that the author thinks that posting a no-AI policy for professional work is itself seen as a signal of certain things about them, their skill level, etc., and that wins out for the kinds of clients they wish to take on. This doesn't have to be a long- or even medium-run bet to make, given that it's cheap to backtrack on such a policy down the line. Either way it's clear from reading the measured prose that there's an iceberg of thinking behind what's visible here and they are probably smarter than I am.
Thus, they won't use it directly themselves, but are willing to work with people who do.
1. Its a great tool to reduce boilerplate 2. Its great for experimenting with ideas without the overhead that comes with starting a new non trivial project 3. Its great for one offs, demos or anything like that. 4. It helps me to work on some personal side projects that would have never seen the light of day otherwise.
The downsides:
1. As with dynamic languages its a great tool for EXPERT engineers ( not that i am calling me one ) but is often used by Juniors/Entree Level engineers who do not understand the problem, can't tell it exactly what to do, and can't judge the result. And thus it leads to codebases riddled with issues that are hard to find and since they produce a lot of code are a huge liability.
"But look what i made" .... no... no you didn't you don't even understand why its doing something.
However, nothing indicates that this will happen soon, we're talking about a timeline of a decade and longer. Maybe pricing as well as a hardware and energy shortage will further slow down the transition. Right now, AI doesn't seem to be profitable for the companies offering it.
Feel free to downvote this comment but make sure you re-visit this post in 10 years from now.
I'm sick to death of people trying to grandstand, flag wave and chest pound about "the evils of AI" and "the failings of AI." You hate billionaires and you're afraid of losing your job, I get it, stop trying to propagandize and just do the thing you love to do as if AI didn't exist.
If I meet someone who hand carves stuff, if it's good I'm into it. If they start to rave about the evils of machines I nope tf out and never return.
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