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this post was submitted on 06 Nov 2026
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The current business model of the big LLM providers is unsustainable. They are burning money to get people hooked. Which means maintaining and developing these applications will become a lot more expensive, once the providers need to make money. If these projects don't have a solid plan for this event, they'll probably just get abandoned.
Also unsustainable: the code they generate.
It's huge, sprawling and messy.
https://github.com/storytold/photocraft/issues/6903
https://github.com/storytold/artcraft/issues/2273
https://www.softwareimprovementgroup.com/blog/artcraft-adobe-clone-ai-code-quality/
Can you point to which part specifically are you referring to here? https://github.com/storytold/photocraft
Almost by definition, maintainability doesn't refer to a "specific part"
https://www.softwareimprovementgroup.com/blog/artcraft-adobe-clone-ai-code-quality/
I'm not interested in getting into an argument about this any further, look through their github issues, there's plenty to learn.
As a note, if you think they're genuinely reviewing this much code at this speed, I think you need to consider the logistics of that.
Any project is a sum of its parts, and if you're talking about maintainability, then the parts you could easily point to would be things like high coupling, overly large file sizes, functions that are too big and should be broken up.
Meanwhile, your own link shows that it's roughly within the ballpark of industry average. And if you look through issues for any large project on github you'll see similar types of issues. Given how new the project is, none of this is really surprising or out of the ordinary.
As a note, nowhere did I suggest they do manual code reviews of everything at this speed. What I do think they have is a regression test suite which they build out as issues come up and they fix them.
That's only true for the US though. Electricity costs in China are a third of what they are in the states, and open models are now becoming very competitive. We can also see here that DeepSeek is already close to breaking even. The other factor is that models continue to get more efficient, and even local models like Qwen 27b can do serious work. Especially, when combined with good tooling. A coding harness that uses Qwen with five different roles scores as well as Anthropic Fable on the benchmarks.
there's deepseek and a lot of other local models.
Yes sure, local models exist. But somehow the big flashy projects use the big flashy models. Local models are usable, but not as capable as the big cloud models, to which they have tied their development practice.
if you look at benchmarks the difference is almost negligible, and there is nothing tying your development practice to claude or whatever. i constantly switch between agents and nothing stops me or changes my workflow when i do this. a new model can pick up instantly where another left, and once the western model is doomed deepseek will still be there running on your local machine.
My local machine is dead and I can't afford new ram.
and you owe that to big llm western models run on massive data centers, deepseek is here to disrupt that. once the imperial monoliths fall consumer grade products will become cheaper and you will hopefully be able to get a new machine. i say this from argentina my friend, my country besides being fucked has import restrictions on technology which make buying hardware even more expensive than for people in the anglosphere.
I just hope it will collapse very soon, this whole "let's burn more fossil fuels to run LLMs" thing is way too depressing. I actually enjoy programming and this timeline makes me sad.
What if we just learned to code and wrote if ourselves and took some personal interest in the lines we produce?
why don't you learn to harvest your own food, tailor your own clothes, etc, etc. your argument is one against automation. without keeping in mind both are not mutually exclusive. you can do whatever you want while others do what makes them happy!
No lol
yeh