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Not the person you asked, but my interpretation of “left in the dust” here (not a phrasing I particularly agree with) would be the same way iOS development took off in the 2010s.

There was a land rush to create apps. Basic stuff like the flash light, todo lists, etc, were created and found a huge audience. Development studios were established, people became very successful out of it.

I think the same thing will happen here. There is a first mover advantage. The future is not yet evenly distributed.

You can still start as an iOS developer today, but the opportunity is different.


I’m not sure your analogy is applicable here.

The introduction of the App Store did not increase developer productivity per se. If anything, it decreased developer productivity, because unless you were already already a Mac developer, you had to learn a programming language you've never used, Objective-C, (now it's largely Swift, but that's still mainly used only on Apple platforms) and a brand new Apple-specific API, so a lot of your previous programming expertise became obsolete on a new platform. What the App Store did that was valuable to developers was open up a new market and bring a bunch of new potential customers, iPhone users, indeed relatively wealthy customers willing to spend money on software.

What new market is brought by LLMs? They can produce as much source code as you like, but how exactly do you monetize that massive amount of source code? If anything, the value of source code and software products will drop as more is able to be produced rapidly.

The only new market I see is actually the developer tool market for LLM fans, essentially a circular market of LLM developers marketing to other LLM developers.

As far as the developer job market is concerned, it's painfully clear that companies are in a mass layoff mood. Whether that's due to LLMs, or whether LLMs are just the cover story, the result is the same. Developer compensation is not on the rise, unless you happen to be recruited by one of the LLM vendors themselves.

My impression is that from the developer perspective, LLMs are a scheme to transfer massive amounts of wealth from developers to the LLM vendors. And you can bet the prices for access to LLMs will go up, up, up over time as developers become hooked and demand increases. To me, the whole "OpenClaw" hype looks like a crowd of gamblers at a casino, putting coins in slot machines. One thing is for certain: the house always wins.


My take is more optimistic.

I think it will make prototyping and MVP more accessible to a wider range of people than before. This goes all the way from people who don't know how to code up to people who know very well how to code, but don't have the free time/energy to pursue every idea.

Project activation energy decreases. I think this is a net positive, as it allows more and different things to be started. I'm sure some think it's a net negative for the same reasons. If you're a developer selling the same knowledge and capacity you sold ten years ago things will change. But that was always the case.

My comparison to iOS was about the market opportunity, and the opportunity for entrepreneurship. It's not magic, not yet anyway. This is the time to go start a company, or build every weird idea that you were never going to get around to.

There are so many opportunities to create software and companies, we're not running out of those just because it's faster to generate some of the code.


What you just said seems reasonable. However, what the earlier commenter said, which led to this subthread, seems unreasonable: those people unwilling to try the tools "are absolutely going to get left in the dust."

Returning to the iOS analogy, though, there was only a short period of time in history when a random developer with a flashlight or fart app could become successful in the App Store. Nowadays, such a new app would flop, if Apple even allowed it, as you admitted: "You can still start as an iOS developer today, but the opportunity is different." The software market in general is not new. There are already a huge number of competitors. Thus, when you say, "This is the time to go start a company, or build every weird idea that you were never going to get around to," it's unclear why this would be the case. Perhaps the barrier to entry for competitors has been lowered, yet the competition is as fierce as ever (unlike in the early App Store).

In any case, there's a huge difference between "the barrier to entry has been lowered" and "those who don't use LLMs will be left in the dust". I think the latter is ridiculous.

Where are the original flashlight and fart app developers now? Hopefully they made enough money to last a lifetime, otherwise they're back in the same boat as everyone else.


> In any case, there's a huge difference between "the barrier to entry has been lowered" and "those who don't use LLMs will be left in the dust". I think the latter is ridiculous.

Yeah, it’s a bit incendiary, I just wanted to turn it into a more useful conversation.

I also think it overstates the case, but I do think it’s an opportunity.

It’s not just that the barrier to entry has been lowered (which it has) but that someone with a lot of existing skill can leverage that. Not everyone can bring that to the table, and not everyone who can is doing so. That’s the current advantage (in my opinion, of course).

All that said, I thought the Vision Pro was going to usher in a new era of computing, so I’m not much of a prognosticator.


> it’s a bit incendiary

> I also think it overstates the case

I think it's a mistake to defend and/or "reinterpret" the hype, which is not helping to promote the technology to people who aren't bandwagoners. If anything, it drives them away. It's a red flag.

I wish you would just say to the previous commenter, hey, you appear to be exaggerating, and that's not a good idea.


I didn't read the comment as such a direct analogy. It was more recalling a lesson of history that maybe doesn't repeat but probably will rhyme.

The App Store reshuffled the deck. Some people recognized that and took advantage of the decalcification. Some of them did well.

You've recognized some implications of the reshuffle that's currently underway. Maybe you're right that there's a bias toward the LLM vendors. But among all of it, is there a niche you can exploit?


I was very impressed with vBulletin’s use of bitmasking for permissions (of which there were many possible combinations) when I first encountered it.

Would love an excuse to use it, but one has not come up in like 15 years since, hah.


https://duggan.ie

A personal blog with a mixture of technical posts and other essays. No AI content.

Every time I write a post I find myself adding little features here and there, which is what I always wanted to be able to do with a blog.


"Robot boots 30,000 feet above the ground" doesn't have quite the same ring to it.


I guess those Russian drones in Ukraine aren’t military combatants then?


Well the Russian drones are munitions, so that's not comparable. Is the UK dropping bombs on Gaza? I have seen zero reporting to say they have.

The UK might be flying spy planes outside it's airspace when it's citizens were kidnapped. That's not a "combatant". Was the UK a combatant when flying spy planes near the Ukraine border?

I think you are way off the mark based on reporting, I'm not even sure how you are coming to these stated opinions.


No, they're not dropping munitions, they're simply coordinating with the Israeli military to facilitate the dropping of munitions, doing everything possible save putting boots on the ground (that we know of). So you're right, in that case Britain is more like China in this situation, perfectly blameless.


Yeah, any outright dismissal of a perfectly reasonable idea like this smells of market opportunity.


I thought I was going to disagree with this; on the surface I think the icons are something of an improvement, but the rest of the post is persuasive.

This is a bad sign for design at Apple. It suggests a fundamental lack of attention to detail that would have been harder to imagine a few years ago.

What's driving it?


    > Burger menu
    > User agreement

    "User disagrees with the content of this site."
I recommend playing with the top-right buttons, it made me chuckle audibly.


Download your personal data, there's a lot of fun messages in there.


Leadership doesn’t understand and/or care anymore.


I spent so much time tuning the WAP site for the forum I worked for back in 2008.

I had some sort of Nokia running on whatever 2kbps networking was going then, and would shave absolutely anything I could to make the forums load slightly faster.


Search “centre a div” in Google

Wade through ads

Skim a treatise on the history of centering content

Skim over the “this question is off topic / duplicate” noise if Stack Overflow

Find some code on the page

Try to map how that code will work in the context of your other layout

Realize it’s plain CSS and you’re looking for Tailwind

Keep searching

Try some stuff until it works

Or…

Ask LLM. Wait 20-30 seconds. Move on to the next thing.


Half the reason search engines are so miserable to use anymore is that they've been laden down with so much low quality LLM-generated content.


The middle step is asking an LLM how it's done and making the change yourself. You skip the web junk and learn how it's done for next time.


Yep, that’s not a bad approach, either.

I did that a lot initially, it’s really only with the advent of Claude Code integrated with VS Code that I’m learning more like I would learn from a code review.

It also depends on the project. Work code gets a lot more scrutiny than side projects, for example.


> Search “centre a div” in Google

Aaand done. Very first result was a blog post showing all the different ways to do it, old and new, without any preamble.


Or, given that OP is presumably a developer who just doesn't focus fully on front end code they could skip straight to checking MDN for "center div" and get a How To article (https://developer.mozilla.org/en-US/docs/Web/CSS/How_to/Layo...) as the first result without relying on spicy autocomplete.

Given how often people acknowledge that ai slop needs to be verified, it seems like a shitty way to achieve something like this vs just checking it yourself with well known good reference material.


LLMs work very well for a variety of software tasks — we have lots of experience around the industry now.

If you haven’t been convinced by pure argument in 2026 then you probably won’t be. But the great thing is you don’t have to take anyone’s word for it.

This isn’t crypto, where everyone using it has a stake in its success. You can just try it, or not.


That's a lot of words to say "trust me bruh" which is kind of poetic given that's the entire model (no pun intended) that LLMs work on.


Hardly. Just pointing out that water is wet, from my perspective.

But there is an interesting looking-glass effect at play, where the truth seems obvious and opposite on either side.


Wait till the VC tap gets shut off.

You: Hey ChatGPT, help me center a div.

ChatGPT: Certainly, I'd be glad to help! But first you must drink a verification can to proceed.

Or:

ChatGPT: I'm sorry, you appear to be asking a development-related question, which your current plan does not support. Would you like me to enable "Dev Mode" for an additional $200/month? Drink a verification can to accept charges.


Seriously, they have got their HOOKS into these Vibe Coders and AI Artists who will pony up $1000/month for their fix.


A little hypothesis: a lot of .Net and Java stuff is mainlined from a giant mega corp straight to developers through a curated certification, MVP, blogging, and conference circuit apparatus designed to create unquestioned corporate friendly, highly profitable, dogma. You say ‘website’ and from the letter ‘b’ they’re having a Pavlovian response (“Azure hosted SharePoint, data lake, MSSQL, user directory, analytics, PowerBI, and…”).

Microsoft’s dedication to infusing OpenAI tech into everything seems like a play to cut even those tepid brains out of the loop and capture the vehicles of planning and production. Training your workforce to be dependent on third-party thinking, planning, and advice is an interesting strategy.


Alternatively, just use a local model with zero restrictions.


The next best thing is to use the leading open source/open weights models for free or for pennies on OpenRouter [1] or Huggingface [2].

An article about the best open weight models, including Qwen and Kimi K2 [3].

[1]: https://openrouter.ai/models

[2]: https://huggingface.co

[3]: https://simonwillison.net/2025/Jul/30/


This is currently negative expected value over the lifetime of any hardware you can buy today at a reasonable price, which is basically a monster Mac - or several - until Apple folds and rises the price due to RAM shortages.


This requires hardware in the tens of thousands of dollars (if we want the tokens spit out at a reasonable pace).

Maybe in 3-5 years this will work on consumer hardware at speed, but not in the immediate term.


$2000 will get you 30~50 tokens/s on perfectly usable quantization levels (Q4-Q5), taken from any one among the top 5 best open weights MoE models. That's not half bad and will only get better!


If you are running lightweight models like deepseek 32B. But anything more and it’ll drop. Also, costs have risen a lot in the last month for RAM and AI adjacent hardware. It’s definitely not 2k for the rig needed for 50 tokens a second


Could you explain how? I can't seem to figure it out.

DeepSeek-V3.2-Exp has 37B active parameters, GLM-4.7 and Kimi K2 have 32B active parameters.

Lets say we are dealing with Q4_K_S quantization for roughly half the size, we still need to move 16 GB 30 times per second, which requires a memory bandwidth of 480 GB/s, or maybe half that if speculative decoding works really well.

Anything GPU-based won't work for that speed, because PCIe 5 provides only 64 GB/s and $2000 can not afford enough VRAM (~256GB) for a full model.

That leaves CPU-based systems with high memory bandwidth. DDR5 would work (somewhere around 300 GB/s with 8x 4800MHz modules), but that would cost about twice as much for just the RAM alone, disregarding the rest of the system.

Can you get enough memory bandwidth out of DDR4 somehow?


That doesn't sound realistic to me. What is your breakdown on the hardware and the "top 5 best models" for this calculation?


Look up AMD's Strix Halo mini-PC such as GMKtec's EVO-X2. I got the one with 128GB of unified RAM (~100GB VRAM) last year for 1900€ excl. VAT; it runs like a beast especially for SOTA/near-SOTA MoE models.


Just you wait until the powers that be take cars away from us! What absolute FOOLS you all are to shape your lives around something that could be taken away from us at any time! How are you going to get to work when gas stations magically disappear off the face of the planet? I ride a horse to work, and y'all are idiots for developing a dependency on cars. Next thing you're gonna tell me is we're going to go to war for oil to protect your way of life.

Come on!


The reliance on SaaS LLMs is more akin to comparing owning a horse vs using a car on a monthly subscription plan.


This is a poor analogy. Cars (mostly) don't require a subscription.


I mean, they're taking away parts of cars at the moment. You gotta pay monthly to unlock features your car already has.


Just like the comment you replied to this is an argument against subscription model "thing" as a service business models, not against cars.


Can't believe this car bubble has lasted so long. It's gonna pop any decade now!


Definitely. Right now I can access and use them for free without significant annoyance. I'm a canary for enshittification; I'm curious what it's going to look like.


I mean sure, that could happen. Either it's worth $200/month to you, or you get back to writing code by hand.


Calling it now: AI withdrawal will become a documented disorder.


We already had that happen. When GPT 5 was released, it was much less sycophantic. All the sad people with AI girl/boyfriends threw a giant fit because OpenAI "murdered" the "soul" of their "partner". That's why 4o is still available as a legacy model.



I can absolutely see that happening. It's already kind of happened to me a couple of times when I found myself offline and was still trying to work on my local app. Like any addiction, I expect it to cost me some money in the future


It was a real facepalm moment when I realised we were busting the cache on every request by including date time near the top of the main prompt.

Even just moving it to the bottom helped move a lot of our usage into cache.

Probably went from something like 30-50% cached tokens to 50-70%.


Interesting, thanks for the references, I'm not very familiar with fs.com, though I'm sure it popped up in one or two Reddit posts I skimmed.

It turns out I accidentally purchased one each of a fibre-assembly and direct-attach-copper! I was not paying close enough attention.

From what I understand, the difference between these will be negligible at the range I'm using (1m), but is that accurate?


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