Bro but... you now are having a business is planned by a paid chatbot, they can shutdown anytime or make it more expensive, also it is imposiable to get something new, you are copying for somewhere else, maybe what claude is copying is having a copyrights on it, like a leaked code and etc, also your brain will slowly shutdown from thinking about 'business' so you will hevaly relays on claude in the future :)
My friend is trying to do the same, the Docker stack he made for his SaaS is really amazing, it is following the standards from the ancient age.
> To what degree did I expand scope because I knew I could do more using the AI?
Someone at work recently termed this “Claude Creep”. It’s so easy to generate things push you towards going further but the reality is that’s you’re setting yourself up for more and more work to get them over the line.
Do you regularly find text content that you know is AI written (but is not marked as such)? Because honestly I don't, and it must exist in decent quantity by now. Or perhaps it's still sparse?
For example the first frontpage post I read just now (I haven't checked others) is I'm fairly sure written with the use of AI (I would guess based on a human draft): https://news.ycombinator.com/item?id=47566442
I can't prove it but I'm comfortable enough in my judgment to say it.
> I’ve had the idea that from a social perspective it’d be regarded like plastic surgery, in that it only looks weird when its over-done, or done badly.
The section about being "glazed" into action resonates. Hidden within this concept I think is something profound about human motivation, innuendo and all.
> AI generated prose is at best boring, and at worst genuinely unappealing. I’m continually tempted, because in theory it should work well. The AI has perfect spelling and grammar, has more than enough context to produce article-length content, and can do in seconds what takes me hours.
I have a thesis in mind...that there is something fundamental to the human spirit that relishes a sort of friction that LLMs cannot observe or reproduce on their own.
> (The) Output was coherent but its ‘style’ was very boring and overtly inoffensive, which was (and still is) a clear limitation of the technology.
The style isn’t a limit of the technology, it’s a limit of the lobotomized models from OpenAI and Anthropic. The open source community has lots of models that are great at creative writing.
> While I’m certain that this technology is producing some productivity improvements, I’m still genuinely (and frustratingly) unsure just how much of an improvement it is actually creating.
I often wonder how much more productive I'd be if just a fraction the effort and money poured into LLMs was spent on better API documentation and conventional coding tools. A lot of the time, I'm resorting to using an AI because I can't get information on how the current API of some-thing works into my brain fast enough, because the docs are non existent, outdated, or scattered and hard to collate.
> better API documentation and conventional coding tools
Agreed, and it depends on the language I suppose. I'm a C++ developer and when you start working with templates even at a non-casual level, the compiler errors due to either genuine syntactic errors or 'seems correct but the standard doesn't support' can be infuriatingly obtuse. The LLM 'just knows' the standard (kind of, all 2k pages), and can figure out and fix most of those errors far faster than I can. In fact one of my preferred usages is to point Codex at my compiler output and get it to do nothing more than fix template errors.
Kotlin, for example, is much more in your face, in the IDE which does a correctness pass, before you even invoke the compiler (in the traditional sense) and the language spec is considerably leaner with less (no?) UB, unlike C++.
I agree. I think of AI as a search engine on steroids.
But I think it IS the best way to search for information, to be able to put a question in natural language. I'm always amazed just how exactly on-point the answer is.
I mean even the best of docs out there that have a great search bar like the Vue docs still only matches your search term and surfaces relevant topics.
And hilariously, the worst offenders are AI frameworks themselves. A couple months ago I was helping a client build out some "agentic" stuff and we switched from OpenAI Agents library to Agno. Agents is messy enough, like making inconsistent use of its own enums etc, but with Agno you can really feel that they are eating their own dog food. Plenty of times I literally could not find the API for some object, and of course their docs page pushes you toward chatting with their goddamn docs chatbot, which barfs up some outdated function signature for you.
I would agree with the utility of Claude and Claude Code. Claude feels like your own executive assistant, sales team and IT department. Combine that with Claude Code and you can build some incredible things. Myself as an example, I used Claude to advise me on starting a business and building a MVP. After a few weeks of refinement I was able to create something I never could have done without Claude. It is a game changer for sure.
If it was any good at sales I'm pretty sure a company I did a contract for would be thriving by now. Instead they have a product that is ~500 times faster than the competition, with better UX for the most common activity in that field and much better built-in analysis tools for end results, run in real-time (which competitor software cannot do). Sure, it's not a massive market in terms of demographics, but I'd expect real sales people to succeed with what they have. Something very real has gone wrong with sales and it's not something they've been able to solve using LLMs.
I know this company uses LLMs, because I'm working on another project for them where one of the co-founders is relentlessly spamming the repo with overwrought Claude Code output like there is no tomorrow. This shit sucks at code generation and it most likely sucks at everything else too, except people often assume it's better at things they don't know about.
The Gartner hype cycle has 5 phases: tech trigger (6 months - 2 years), peak of inflated expectations (6 months - 2 years ), the slope of enlightenment (2 - 5 years), and the plateau of productivity (5+ years), and the slope of decline (Obsolescence which noone talks about). If we are in fact at the 40th month then we are either approaching the peak of inflated expectations, the slope of enlightenment, or the plateau of productivity. I would say we are probably approaching the peak of inflated expectations. We are constantly hearing the symptoms of the 'This Time is Different' Syndrome from people saying the old rules don’t apply which is the classic sign the peak is approaching. The average financial bubble bursts after 3 years, however the dot-com bubble burst 5 years after peak and the housing bubble took 3-4 years. We are probably in the “bubble mania” phase right now because of all the irrational exuberance. Ride the Lightning!
The stupid thing is that instead of using AI to give ourselves 1 hour work days, we’re just cramming more work into the same amount of time we’ve always worked.
The biggest positive I have seen is not so much in the new tools, but in new ways to convince the higher ups to do sensible things.
We always find that small teams of locals can do much much more than a team with an unlimited number of low cost "developers". Not just because the competence of low cost devs is poor, but also the structure of how you work changes for the worse with a bigger team, for the worse with a distributed team, and for the worse with a skill-diverse team.
Thats before you get into the cultural flaws of favored destinations like India.
So we have been able to argue things like add one local + ai is better than about 20-100 Indians, depending on role and business structure needed to manage low-competence low-trust "developers". So we are planning to completely on-shore in the near future.
The bean counters are happy, and the quality of the work is improving.
Yes this + also APIs! Due to LLMs needing APIs suddenly things that were strictly behind GUI can easily opened up for programmatic use. Double edged sword, due to infosec etc concerns, but sure is nice for personal productivity automation.
You are confusing low cost with low competence. Some developers in India and Brazil cost a fourth of an American one but may be just as competent. Yes, the average is lower because of the lower barrier to entry and differences in cultural practices, but you really should separate cost and competency. You can hire some grifter who is quite expensive compared to a super developer from India just because they live in California.
Generating AI Content sucks, Consuming AI Content sucks, but combine them in the same loop and it's really addicting. AI Content Prosuming rocks.
Since LLMs, if I see a video I think is interesting, I take the transcript, feed it into an LLM, I summarize it and ask it a couple of questions.
I've turned 12 minute videos back into the 5 phrases news it was based on.
I suppose that when you're the one generating the request, it feels more personal. It is also very interesting that most LLMs respond like a normal person when you talk to them directly, but suddenly adopt the more annoying blogger speech patterns when you tell them 'create content'.
> I remember the first time I vibe-coded a small project. It was an app that generated placeholder cards for my MTG collection. I prompted the bot (now Claude, not ChatGPT).....
I would be interested what date this was? I am surprised if it's been recent that Claude didn't 1 shot this.
A big part of the benefit of AI has nothing to do with AI and everything to do with leading point haired bosses around. They won't approve needed refactorings but promise to integrate AI and suddenly budget is no problem, just add an easily removable chatbot afterward and you're golden.
The internet as we know it is dead. Websites will seize to exist in 2 years from now. On the fly UIs will be generated. Tailored exactly to your ad profile. Content will be either AI slop that's better than humans can ever make or products that are a perfect fit for your spendable part of your wallet
45 comments
[ 3.2 ms ] story [ 48.4 ms ] threadMy friend is trying to do the same, the Docker stack he made for his SaaS is really amazing, it is following the standards from the ancient age.
Someone at work recently termed this “Claude Creep”. It’s so easy to generate things push you towards going further but the reality is that’s you’re setting yourself up for more and more work to get them over the line.
I can't prove it but I'm comfortable enough in my judgment to say it.
Not counting from 1971s DARPA? Sorry I'm allegric when LLMs being called AI like nothing existed before it.
> I’ve had the idea that from a social perspective it’d be regarded like plastic surgery, in that it only looks weird when its over-done, or done badly.
The section about being "glazed" into action resonates. Hidden within this concept I think is something profound about human motivation, innuendo and all.
> AI generated prose is at best boring, and at worst genuinely unappealing. I’m continually tempted, because in theory it should work well. The AI has perfect spelling and grammar, has more than enough context to produce article-length content, and can do in seconds what takes me hours.
I have a thesis in mind...that there is something fundamental to the human spirit that relishes a sort of friction that LLMs cannot observe or reproduce on their own.
The style isn’t a limit of the technology, it’s a limit of the lobotomized models from OpenAI and Anthropic. The open source community has lots of models that are great at creative writing.
would you mind sharing some examples please?
I often wonder how much more productive I'd be if just a fraction the effort and money poured into LLMs was spent on better API documentation and conventional coding tools. A lot of the time, I'm resorting to using an AI because I can't get information on how the current API of some-thing works into my brain fast enough, because the docs are non existent, outdated, or scattered and hard to collate.
Agreed, and it depends on the language I suppose. I'm a C++ developer and when you start working with templates even at a non-casual level, the compiler errors due to either genuine syntactic errors or 'seems correct but the standard doesn't support' can be infuriatingly obtuse. The LLM 'just knows' the standard (kind of, all 2k pages), and can figure out and fix most of those errors far faster than I can. In fact one of my preferred usages is to point Codex at my compiler output and get it to do nothing more than fix template errors.
Kotlin, for example, is much more in your face, in the IDE which does a correctness pass, before you even invoke the compiler (in the traditional sense) and the language spec is considerably leaner with less (no?) UB, unlike C++.
But I think it IS the best way to search for information, to be able to put a question in natural language. I'm always amazed just how exactly on-point the answer is.
I mean even the best of docs out there that have a great search bar like the Vue docs still only matches your search term and surfaces relevant topics.
I was able to one-shot a parameterized SVG template creator for a laser cutter. Unlikely I could have achieved the same with 40 hours of pure focus.
I know this company uses LLMs, because I'm working on another project for them where one of the co-founders is relentlessly spamming the repo with overwrought Claude Code output like there is no tomorrow. This shit sucks at code generation and it most likely sucks at everything else too, except people often assume it's better at things they don't know about.
We always find that small teams of locals can do much much more than a team with an unlimited number of low cost "developers". Not just because the competence of low cost devs is poor, but also the structure of how you work changes for the worse with a bigger team, for the worse with a distributed team, and for the worse with a skill-diverse team.
Thats before you get into the cultural flaws of favored destinations like India.
So we have been able to argue things like add one local + ai is better than about 20-100 Indians, depending on role and business structure needed to manage low-competence low-trust "developers". So we are planning to completely on-shore in the near future.
The bean counters are happy, and the quality of the work is improving.
And you just say this like it’s nothing. Lack of respect to tons of Indian people who work in IT, of which I have had the pleasure to work with.
I do not believe I have even seen "good value" output.
What is there to respect?
Since LLMs, if I see a video I think is interesting, I take the transcript, feed it into an LLM, I summarize it and ask it a couple of questions. I've turned 12 minute videos back into the 5 phrases news it was based on. I suppose that when you're the one generating the request, it feels more personal. It is also very interesting that most LLMs respond like a normal person when you talk to them directly, but suddenly adopt the more annoying blogger speech patterns when you tell them 'create content'.
I would be interested what date this was? I am surprised if it's been recent that Claude didn't 1 shot this.
Marketers present a list of potential problems
The smallest success stories are marketed as indicators of future success, but to verify this, one must wait patiently for the future to arrive
I think we'll find that for most AI stuff.