> One user, who asked not to be identified, said it has been impossible to advance his project since the usage limits came into effect.
Vibe limit reached. Gotta start doing some thinking.
skort · 3h ago
Right, but these companies are selling their products on the basis that you can offload a good amount of the thinking. And it seems a good deal of investment in AI is also based on this premise. I don't disagree with you, but it's sorta fucked that so much money has been pumped into this and that markets seem to still be okay with it all.
AlexandrB · 1h ago
They're not selling them, they're still giving them away. Once the VC money runs out we'll see what the actual cost of this stuff is.
spongebobstoes · 1h ago
most inference runs at 40%+ margin
darylteo · 10m ago
Is this like saying a gym runs at 40%+ margin because 80% of users don't really use it heavily or forget they even had a subscription? Would be interested to see the breakdown of that number.
ehnto · 35m ago
Is that for per token costs or in these bundled subscriptions companies are selling?
For example, when playing around with claude code using a per token paid API key, it was going to cost ~$50aud a day with pretty general usage.
But their subscription plan is less than that per month. Them lowering their limits suggests that this wasn't proving profitable at the current limits.
tecleandor · 1h ago
Yeah, they are _saying_ that they're selling you a service but there will be surprises...
gscott · 1h ago
How long can AI be subsidized in the name of growth? They need to radically increase the price. If I replace a $150k yr employee should I pay $200 a month or $2,000 a month. $200 is too cheap.
m4rtink · 3h ago
Who would have though including a hard depedency on third part service with unclear long term availability would be a problem!
Paid compilers and remotely acessible mainframes all over again - people apparently never learn.
brokencode · 1h ago
It’s only a hard dependency if you don’t know and never learn how to program.
For developers who read and understand the code being generated, the tool could go away and it would only slow you down, not block progress.
And even if you don’t, it really isn’t a hard dependency on a particular tool. There are multiple competing tools and models to choose from, so if you can’t make progress with one, switch to another. There isn’t much lock-in to any specific tool.
manquer · 3h ago
> Paid compilers.
I don't think this one is a good comparison.
Once you had the binary, the compiler worked forever[1]
The issue with them was around long term support for bugs and upgrade path as the language evolved.
---
[1] as long you had a machine capable of running/emulating the instruction set for the binary.
o11c · 2h ago
Hm, I am assuming that paid compilers were largely gone before the whole "must have this dongle attached to computer" industry? Because for software that uses those, "I paid for it" absolutely does not guarantee "I can still run it". The only reason it's not more of a problem is the planned obsolescence that means forced to upgrade sooner or later (but, unlike purely subscription-based services, you have some control over how frequently you pay).
codebje · 1h ago
Sadly, paid compilers still exist, and paid compilers requiring a licensing dongle still exist. The embedded development world is filled with staggering amounts of user hostility.
delta_p_delta_x · 35m ago
My understanding is that much of the established embedded world has moved to any one flavour of GCC or (more commonly) Clang, just because maintaining a proprietary optimising compiler is too much effort than just modifying (and eventually contributing to) Clang.
ivape · 2h ago
Everyone that successfully avoided social media for the last decade escaped with their mental health. Everyone that carefully moderates their ai intake (e.g don’t depend on Claude Code) will also escape with their skills over the next decade, others will become AI fiends, just the like social media fiends. Just knowing tech like the internet and ai can fuck your whole brain up is enough to be ahead of the curve. If you didn’t learn the lesson from the uptake of video games, cellphones, tv, streaming (the list is endless), then you’re not paying attention.
The destruction of spelling didn’t feel like doomsday to us. In fact, I think most people treated the utter annihilation of that skill as a joke. “No one knows how to spell anymore” - haha, funny, isn’t technology cute? Not really. We’ve gone up an order of magnitude, and not paying attention to how programming is on the chopping block is going to screw a lot of people out of that skill.
epolanski · 1h ago
Hmmm, I am 99% sure the users are not vibe coders who can't code, those are on tools like lovable, not messing with terminal tools.
bGl2YW5j · 4h ago
Came to comment on the same quote.
I'm surprised, but know I shouldn't be, that we're at this point already.
mrits · 4h ago
First one was free
mattigames · 4h ago
I would be a little disappointed if that wasn't the case, after all we have been there quite a while in regards to the art models.
dude250711 · 5h ago
He did not pass the vibe check.
mrits · 4h ago
I honestly feel sorry for these vibe coders. I'm loving AI in a similar way that I loved google or IDE magic. This seems like a far worst version of those developers that tried to build an entire app with Eclipse or Visual Studio GUI drag and drop from the late 90s
nikisweeting · 2h ago
Hundreds of billions of dollars have changed hands through shitty drag-and-drop UIs, wordpress ecommerce plugins, and dreamweaver sites, lets not forget the code is there to serve a business purpose at the end of the day. Code quality is an implementation detail that may matter less over time as rewrites get easier. I love me some beatiful hand-written clean code, but clean code is not the true goal.
ImaCake · 2h ago
> clean code is not the true goal
Its not, but it does matter. LLMs, being next word guessers, perform differently with different inputs. Its not hard to imagine a feedback loop of bad code generating worse code and good code generating more good code.
My ability to get good responses from LLMs has been tied to me writing better code, docstrings, and using autoformatters.
mrits · 1h ago
I don't consider drag-and-drop UIs anywhere close to wordpress plugins. I'm not talking about writing bad code, I'm talking about being able to understand what you are creating.
geoduck14 · 2h ago
Why isn't anyone talking about the bevvy of drag-and-drop no colder solutions that have already been in the market? Surely the LLMs are competing with those tools, right?
Workaccount2 · 4m ago
People trash LLM code as if most consumer software isn't buggy piles of half assed code.
IAmGraydon · 2h ago
Thats a really good comparison. Dreamweaver would be another one. You just don’t own the tool now, so it puts you at even more risk.
pembrook · 4h ago
The funny thing is Claude 4.0 isn't even that 'smart' from a raw intelligence perspective compared to the other flagship models.
They've just done the work to tailor it specifically for proper tool using during coding. Once other models catch up, they will not be able to be so stingy on limits.
Google has the advantage here given they're running on their own silicon; can optimize for it; and have nearly unlimited cashflows they can burn.
I find it amusing nobody here in the comments can understand the scaling laws of compute. It seems like people have a mental model of Uber burned into their head thinking that at some point the price has to go up. AI is not human labor.
Over time the price of compute will fall, not rise. Losing money in the short term betting this will happen is not a dumb strategy given it's the most likely scenario.
I know everybody really wants this bubble to pop so they can make themselves feel smart for "calling it" (and feel less jealous of the people who got in early) and I'm sure there will be a pop, but in the long term this is all correct.
alphager · 4h ago
Even if Moore's law was still in effect and the computer resources required stayed the same and compute stayed as efficient per watt (neither is true), it would just halve compute costs every 18 months. You're able to read about people hitting $4000 costs/month on the $200 plan upthread. That's 8 years until it's cost effective.
Are they really ready to burn money for 8 years?
pembrook · 4h ago
Uber operated at a loss for 9 years. They're now a profitable, market-winning business.
Amazon operated at a loss for 9 years, and barely turned a profit for over a decade longer than that. They're now one of the greatest businesses of all time.
Spotify operated at a loss for 17 years until becoming profitable. Tesla operated at a loss for 17 years before turning a profit. Palantir operated at a loss for 20 years before turning a profit.
And this was before the real age of Big Tech. Google has more cashflows they can burn than any of these companies ever raised, combined.
klik99 · 3h ago
Those aren’t good comparisons.
Uber operated at a loss to destroy competition and raised prices after they did that.
Amazon (the retailer) did the same and leveraged their position to enter new more lucrative markets.
Dunno about Spotify, but Tesla and palantir both secured lucrative contracts and subsidies.
Anthropic is against companies with deeper pockets and can’t spend to destroy competition, their current business model can only survive if they reduce costs or raise prices. Something’s got to give
pembrook · 3h ago
They are good comparisons. All startups go against incumbents/competitors with deeper pockets.
Re: Anthropic specifically, I tend to agree, hence why I'm saying the deeper pockets (eg. Google, Amazon, etc) are perfectly positioned to win here. However, big companies have a way of consistently missing the future due to internal incentive issues. Google is deathly afraid of cannibalizing their existing businesses.
Plus, there's many investors with deep pockets who would love to get in on Anthropic's next round if their technical lead proves to be durable over time (like 6 months in AI terms).
This fight is still early innings.
willhslade · 2h ago
Haven't they already cannibalized search? It really sucks now.
gleenn · 1h ago
Google search results "sucking" probably is an indication that they are squeezing money out of it well. Just because you don't like the results you are getting doesn't mean the average user isn't still using Google a ton and generating $$$ for Goog
osn9363739 · 2h ago
Could this just be survivorship bias? How many companies burned money until they died? This isn't some hot take. I'm kinda interested. Surely more companies failed with this model than survived.
edaemon · 1h ago
Well, those companies were all successful, it's a bit of survivorship bias to only consider those. How many companies operated at a loss for years and eventually went out of business?
sothatsit · 4h ago
I think people also expect models to be optimised over time. For example, the 5x drop in cost of o3 was probably due to some optimisation on OpenAI's end (although I'm sure they had business reasons for dropping the price as well).
Small models have also been improving steadily in ability, so it is feasible that a task that needs Claude Opus today could be done by Sonnet in a year's time. This trend of model "efficiency" will add on top of compute getting cheaper.
Although, that efficiency would probably be quickly eaten up by increased appetites for higher performance, bigger, models.
andix · 4h ago
The thing is, all the models are not that 'smart'. None of them is AGI.
Currently it's much more important to manage context, split tasks, retry when needed, not getting stuck in an infinite loop, expose the right tools (but not too many), ...
com2kid · 1h ago
> They've just done the work to tailor it specifically for proper tool using during coding. Once other models catch up, they will not be able to be so stingy on limits.
I don't subscribe to the $100 a month plan, I am paying API usage pricing. Accordingly I have learned how to be much more careful with Claude Code than I think other users are. The first day I used it, Claude got stuck in a loop trying to fix a problem using the same 2 incorrect solutions again and again and burnt through $30 of API credits before I realized things were very wrong and I stopped it.
Ever since then I've been getting away with $3-$5 of usage per day, and accomplishing a lot.
Anthropic needs to find a way to incentivize developers to better use Claude Code, because when it goes off the rails, it really goes off the rails.
conartist6 · 51m ago
The problem with models is that they create lots of junk content.
Industries can often get away with polluting when they're small, but once they reach planet scale salting the earth behind you is not as reliable of a tactic.
layoric · 2h ago
Claude is decent for sure, but if you are using these models for 'smarts', that is a whole separate problem. I also think honestly people are sleeping on Mistral's medium 3 and devstral medium. I know it isn't 'smart' either (none of them are), but for mundane tasks need valid code output, it is extremely good for the price.
kadushka · 1h ago
I use o3 to brainstorm research problems, and it's been pretty useful. Especially the deep research feature.
layoric · 1h ago
As a sounding board for things you are already well familiar with, I agree, and have experienced the same, and that can be useful. It's also a much better experience than say using Google to do the same, or just a rubber ducky.
The NLP these models can do is definitely impressive, but they aren't 'thinking'. I find myself easily falling into the habit of filtering a lot of what the model returns and picking out the good parts which is useful and relatively easy for subjects I know well. But for a topic that I am not as familiar with, that filtering (identifying and dismissing) I do is much less finessed, and a lot of care needs to be taken to not just accept what is being presented. You can still interrogate each idea presented by the LLM to ensure you aren't being led astray, and that is still useful for discovering things, like traditional search, but once you mix agents into this, things can go off the rails far too quickly than I am comfortable with.
lacker · 3h ago
Will the other models really catch up, though? To me it seems like Anthropic's lead in programming has increased over the past year. Isn't it possible that over time, some models just become fundamentally better at some things than other models?
mosdl · 2h ago
I've used Augment before moving to Claude, they are pretty similar, often can't tell the difference. I don't think there is that much difference in the dev focused llms.
danny_codes · 3h ago
I mean, not based on anything we’ve seen so far in the DL space. The algorithms are public, the compute is fungible: the only differentiator is data. But deepseek demonstrates that it’s somewhat easy to siphon data off other models so… yeah unclear where the moat is.
macinjosh · 4h ago
Prices for yesterday's frontier models will fall but there will always be the next big model. similar to how game graphics get ever better but ever more demanding at the bleeding edge.
carlhjerpe · 4h ago
Yes but games also look an awful lot better (fidelity wise) than not so many years ago.
Aurornis · 6h ago
I played with Claude Code using the basic $20/month plan for a toy side project.
I couldn't believe how many requests I could get in. I wasn't using this full-time for an entire workweek, but I thought for sure I'd be running into the $20/month limits quickly. Yet I never did.
To be fair, I spent a lot of time cleaning up after the AI and manually coding things it couldn't figure out. It still seemed like an incredible number of tokens were being processed. I don't have concrete numbers, but it felt like I was easily getting $10-20 worth of tokens (compared to raw API prices) out of it every single day.
My guess is that they left the limits extremely generous for a while to promote adoption, and now they're tightening them up because it’s starting to overwhelm their capacity.
I can't imagine how much vibe coding you'd have to be doing to hit the limits on the $200/month plan like this article, though.
eddythompson80 · 5h ago
Worth noting that a lot of these limits are changing very rapidly (weekly if not daily) and also depend on time of day, location, account age, etc.
dawnerd · 6h ago
I hit the limits within an hour with just one request in CC. Not even using opus. It’ll chug away but eventually switch to the nearing limit message. It’s really quite ridiculous and not a good way to upsell to the higher plans without definitive usage numbers.
MystK · 3h ago
Use `npx ccusage` if you're interested in how much it would have costed if you paid by API usage.
cladopa · 6h ago
Thinking is extremely inefficient compared with the usual query in Chat.
If you think a lot, you can spend hundreds of dollars easily.
ChadMoran · 4h ago
If you aren't hitting the limits you aren't writing great prompts. I can write a prompt and have it go off and work for about an hour and hit the limit. You can have it launch sub-agents, parallelize work and autonomously operate for long periods of time.
Think beyond just saying "do this one thing".
osn9363739 · 2h ago
Are there some good examples/wiki/knowledge base on how to do this? I'll read 2 competing theories on the same day so I'm kinda confused.
stogot · 4h ago
How is that a great prompt having it run for an hour without your input? Sounds like it’s just generating wasteful output.
ChadMoran · 2h ago
Who said it was writing code for an hour? Solving complex problems by problem solving, writing SQL, querying data, analyzing data. formulating plans.
What do you do for hours?
If all you're thinking about is code output, you're thinking too small.
It was given a task and it solved a problem by operating for 7 hours straight.
esafak · 2h ago
I have not tested Claude Code but that's impressive because other agents get stuck long before that.
ChadMoran · 1h ago
Takes proper prompt crafting but Claude Code is really impressive.
cma · 3h ago
It can be fixing unit tests and stuff for quite a while, but I usually find it cheats the goal when unattended.
mrits · 4h ago
That clears up a lot for me. I don't think I've ever had it take for than a couple of minutes. If it takes more than a minute I usually freak out and press stop
buremba · 6h ago
They're likely burning money so I can't be pissed off yet, but we see the same Cursor as well; the pricing is not transparent.
I'm paying for Max, and when I use the tooling to calculate the spend returned by the API, I can see it's almost $1k! I have no idea how much quota I have left until the next block. The pricing returned by the API doesn't make any sense.
roxolotl · 5h ago
A coworker of mine claimed they've been burning $1k a week this month. Pretty wild it’s only costing the company $200 a month.
gerdesj · 5h ago
Crikey. Now I get the business model:
I hire someone for say £5K/mo. They then spend $200/mo or is it a $1000/wk on Claude or whatevs.
Profit!
AtheistOfFail · 4h ago
The model is "outspend others until they're bankrupt".
Known as the Uber model or Amazon vs Diapers.com
devnullbrain · 4h ago
It's a shame that the LLM era missed out on coinciding with the zero interest rates era. Just imagine the waste we could create.
margalabargala · 4h ago
> Amazon vs Diapers.com
To be fair that was a little different; Amazon wanted to buy the parent company of Diapers.com so sold at a loss to tank the value of the company so they could buy it cheap.
Terretta · 4h ago
Wasn't there a stat somewhere that a good o3-pro deep research was ~$3500, per question?
sothatsit · 4h ago
I highly doubt that was ever the case in the UI version. You're probably thinking of when they benchmarked o3-high on ARC-AGI and it cost $3440 per question.
neom · 4h ago
We just came out of closed alpha yesterday and have been trying to figure out how best to price, if you'd be willing to provide any feedback I'd certainly appreciate it: https://www.charlielabs.ai/pricing - Thank you!! :)
r0fl · 2h ago
You are charging $2500 a month!?
I’ll assuming this is real and not trolling. Who are the customers? What kind of people spend that much? I know people using $200-300 models but this is 10x that!
neom · 2h ago
We were in closed alpha and thankfully a fair number of teams converted. To your point: right now we don't have any users on the $2500/mth plan, but it aligned with what the people on the $500/mth plan are asking for, we'll see..! :) I was really wondering if our concept of credits is kinda hard to understand?
isodev · 1h ago
> They're likely burning money so I can't be pissed off yet
What do you mean? That’s totally a good reason to be pissed off at them. I’m so tired of products that launch before they have a clear path to profitability.
dfsegoat · 5h ago
Can you clarify which tooling you are using? Is it cursor-stats?
hboon · 2h ago
> One user, who asked not to be identified, said it has been impossible to advance his project since the usage limits came into effect. “It just stopped the ability to make progress,” the user told TechCrunch. “I tried Gemini and Kimi, but there’s really nothing else that’s competitive with the capability set of Claude Code right now.”
PMF.
ants_everywhere · 3h ago
The other day I was doing major refactorings on two projects simultaneously while doing design work for two other projects. It occurred to me to check my API usage for Gemini and I had spent $200 that day already.
Users are no doubt working these things even harder than I am. There's no way they can be profitable at $200 a month with unlimited usage.
I think we're going to evolve into a system that intelligently allocates tasks based on cost. I think that's part of what openrouter is trying to do, but it's going to require a lot of context information to do the routing correctly.
adamtaylor_13 · 5h ago
That’s funny I literally started the $200/month plan this week because I routinely spend $300+/month on API tokens.
And I was thinking to myself, “How does this make any sense financially for Anthropic to let me have all of this for $200/month?”
And then I kept getting hit with those overloaded api errors so I canceled my plan and went back to API tokens.
I still have no idea what they’re doing over there but I’ll happily pay for access. Just stop dangling that damn $200/month in my face if you’re not going to honor it with reasonable access.
fluidcruft · 2h ago
Why wouldn't you assume that it implies the API rates are massively inflated? I don't do anything really but started playing around last week. I put $5 in tokens in to see how long it would last while I play around. It came out at 30min of compute or whatever dir 3hrs of playing around. So my dumb back of the envelope says $10/hr of compute means $90k per year. Sure GPUs are expensive but are they $90k year expensive? Dunno. It's not like the incremental cost of adding GPUs to the inference side are unmoored from hardware incremental costs.
Ataraxic · 5h ago
I need to see a video of what people are doing to hit the max limits regularly.
I find sonnet really useful for coding but I never even hit basic limits. at $20/mo. Writing specs, coming up with documentation, doing wrote tasks for which many examples exist in the database. Iterate on particular services etc.
Are these max users having it write the whole codebase w/ rewrites? Isn't it often just faster to fix small things I find incorrect than type up why I think it's wrong in English and have it do a whole big round trip?
sothatsit · 3h ago
I can tell you how I hit it: Opus and long workflows.
I have two big workflows: plan and implement. Plan follows a detailed workflow to research an idea and produce a planning document for how to implement it. This routinely takes $10-30 in API credits to run in the background. I will then review this 200-600 line document and fix up any mistakes or remove unnecessary details.
Then implement is usually cheaper, and it will take that big planning document, make all the changes, and then make a PR in GitHub for me to review. This usually costs $5-15 in API credits.
All it takes is for me to do 3-4 of these in one 5-hour block and I will hit the rate-limit of the $100 Max plan. Setting this up made me realise just how much scaffolding you can give to Opus and it handles it like a champ. It is an unbelievably reliable model at following detailed instructions.
It is rare that I would hit the rate-limits if I am just using Claude Code interactively, unless I am using it constantly for hours at a time, which is rare. Seems like vibe coders are the main people who would hit them regularly.
vineyardmike · 3h ago
This is very interesting as a workflow. How “big” are the asks you’re giving Claude? Can you give an example of the type of question you’d ask it to implement where it requires a discrete planning document that long?
Whenever I use it, I typically do much smaller asks, eg “add a button here”, “make that button trigger a refresh with a filter of such state…”
shepherdjerred · 2h ago
Here's an example of me doing a migration from Deno -> Bun, prompting with something like "migrate this, make a plan in BUN.md" and then "do step 1 and write your progress, do step 2, etc."
The best results I get are for things like writing a new database migration and plumbing the data through to an API endpoint. That touches a lot of the codebase, but is not particularly complicated, so this process works quite well for that. Especially because it is easy for me to review.
I have also used this for creating new UI components or admin pages. One thing I have noticed is that the planning step is pretty good at searching through existing UI components to follow their patterns to maintain consistency. If I just asked Claude to make the change straight away, it often won't follow the patterns of our codebase.
But for UI components, adding new pages, or things like that, it is usually more useful just as a starting point and I will often need to go in and tweak things from there. But often it is a pretty good starting point. And if it's not, I can just discard the changes anyway.
I find this is not worth it for very small tasks though, like adding a simple button or making a small behaviour change to a UI component. It will usually overcomplicate these small tasks and add in big testing rigs or performance optimisations, or other irrelevant concerns. It is like it doesn't want to produce a very short plan. So, for things like this I will use Claude interactively, or just make the change manually. Honestly, even if it did do a good job at these small tasks, it would still seem like overkill.
Syzygies · 2h ago
Yup. I'm on a side project trying to port the 1980's computer algebra system Macaulay I coauthored from 32-bit K&R C to 64-bit C23.
K&R C is underspecified. And anyone who whines about AI code quality? Hold my beer, look at our 1980's source.
I routinely have a task manager feed eight parallel Claude Code Opus 4 sessions their next source file to study for a specific purpose, to get through all 57 faster. That will hit my $200 Max limit, reliably.
Of course I should just wait a year, and AI will read the code base all at once. People _talk_ like it does now. It doesn't. Filtering information is THE critical issue for managing AI in 2025.
The most useful tool I've written to support this effort is a tmux interface, so AI and I can debug together two terminal sessions at once: The old 32-bit code running on a Linode instance, and the new 64-bit code running locally on macOS. I wasn't happy with how the tools for this worked, that I could find online. It blows my mind to watch Opus 4 debug.
skinner927 · 55m ago
Is any of this public? It sounds very interesting.
Ensorceled · 4h ago
> Isn't it often just faster to fix small things I find incorrect than type up why I think it's wrong in English and have it do a whole big round trip?
This is my experience: at some point the AI isn't converging to a final solution and it's time to finish the rest by hand.
bluefirebrand · 4h ago
My experience is that if the AI doesn't oneshot it, it's faster to do it myself
If you find yourself going back and forth with the AI, you're probably not saving time over a traditional google search
Edit: and it basically never oneshots anything correctly
No comments yet
nh43215rgb · 4h ago
Are you using claude code for coding with sonnet? Just claude web use alone is indeed fairly relaxed i think.
adamtaylor_13 · 4h ago
I couldn’t even get it to do simple tasks for me this week on the max plan. It’s not just max users overloading it. It feels like they’re randomly rate limiting users.
One day my very first prompt in the morning was blocked. Super strange.
paulhodge · 23m ago
There’s been a ton of ‘service overloaded’ errors this week so it makes sense that they had to adjust it.
Personally I’ve never hit a usage limit on the $100 plan even when running several Claude tabs at once. I can’t imagine how people can max out the $200 plan.
memothon · 3h ago
I made a quick site so you can see what tools are using the most context and help control it, totally free and in your browser.
I'm not sure this is "intentional" per se or just massively overloaded servers because of unexpected demand growth and they are cutting rate limits until they can scale up more. This may become permanent/worse if the demand keeps outstripping their ability to scale.
I'd be extremely surprised if Anthropic picked now of all times to decide on COGS optimisation. They potentially can take a significant slice of the entire DevTools market with the growth they are seeing, seems short sighted to me to nerf that when they have oodles of cash in bank and no doubt people hammering at their door to throw more cash at them.
andix · 4h ago
A lot of people switched away from Cursor within the blink of an eye. Switching IDEs is a big deal for me - it takes a lot of effort, which is why I never switched to Cursor in the first place.
I think Claude Code is a much better concept, the coding agent doesn't need to be connected to the IDE at all. Which also means you can switch even faster to a competitor. In that sense, Claude Code may have been a huge footgun. Gaining market share might turn out to be completely worthless.
mattnewton · 4h ago
I think in the case of Cursor, they are one of may VScode forks, so a switch is not really very challenging. I agree there is little to keep me on any individual app or model (which is one reason I think cursor's reported 9b valuation is a little crazy!)
andix · 4h ago
Only if you're using VS code in the first place. VS code is fine for web dev and js/ts/python. But I really don't like it for Java, C#, C++, SQL, and many more.
jmartrican · 6h ago
I have the $100 plan and now quickly get downgraded to Sonnet. But so far have not hit any other limits. I use it more on the weekends over several hours, so lets see what this weekend has in store.
I suspected that something like this might happen, where the demand will outstrip the supply and squeeze small players out. I still think demand is in its infancy and that many of us will be forced to pay a lot more. Unless of course there are breakthroughs. At work I recently switched to non-reasoning models because I find I get more work done and the quality is good enough. The queue to use Sonnet 3.7 and 4.0 is too long. Maybe the tools will improve reduce token count, e.g. a token reducing step (and maybe this already exists).
j45 · 4h ago
Off hour usage seems to be different for sure.
Also there's likely only so much fixed compute available, and it might be getting re allcoated for other uses behind the scene from time to time as more compute arrives.
bgwalter · 4h ago
“It just stopped the ability to make progress,” the user told TechCrunch. “I tried Gemini and Kimi, but there’s really nothing else that’s competitive with the capability set of Claude Code right now.”
This is probably another marketing stunt. Turn off the flow of cocaine and have users find out how addicted they are. And they'll pay for the purest cocaine, not for second grade.
ceejayoz · 4h ago
It was always gonna be the Uber approach. Cheap and great turns to expensive and mediocre when they have to turn the money spigot on.
jasonthorsness · 5h ago
Is it really worth it to use opus vs. sonnet? sonnet is pretty good on its own.
MystK · 5m ago
It's definitely worth it if you're on the plans and don't hit the usage limits already. It's subjectively better based on my experience.
WhyNotHugo · 3h ago
I wish models which we can self-host at home would start catching up. Relying on hosted providers like this is a huge risk, as can be seen in this case.
I just worry that there’s little incentive for bit corporations to research optimising the “running queries for a single user in a consumer GPU” use case. I wonder if getting funding for such research is even viable at all.
YmiYugy · 3h ago
I think model providers would love to run their models on a single GPU.
The latency and throughput of GPU interconnects is orders of magnitudes worse than accessing VRAM.
Cutting out the latency would make the models much more efficient to run, they wouldn't have to pay for such expensive networking.
If they got to run it on consumer GPUs even better. Consumer GPUs probably cost something like 5-10x less with regards to raw compute than data center ones.
New coding optimized models for single GPUs drop all the time. But it's just a really hard problem to make them good and when the large models are still in the barely good enough phase (I wasn't using agents much before Sonnet 4) it's just not realistic to get something useful locally.
vineyardmike · 3h ago
We already have really strong models that run on a consumer GPU, and really strong frameworks and libraries to support them.
The issue is (1) the extra size supports extra knowledge/abilities for the model. (2) a lot of the open source models are trained in a way to not compete with the paid offerings, or lack the data set of useful models.
Specifically, it seems like the tool-use heavy “agentic” work is not being pushed to open models as aggressively as the big closed models. Presumably because that’s where the money is.
anonzzzies · 2h ago
That must somehow be illegal, at least in the consumer space. I have noticed quicker degrade to sonnet, but don't often hit limits ($200 plan). Seems none of these guys can afford loyalty, so I will be skipping between 'tool of the month' instead of sticking with one. New companies with new VC money are good for a few months and then degrade, so it's not hard to do.
jablongo · 6h ago
Id like to hear about the tools and use cases that lead people to hit these limits. How many sub-agents are they spawning? How are they monitoring them?
rancar2 · 6h ago
There was a batchmode pulled from the documentation after the first few days of the Claude Code release. Many of have been trying to be respectful with a stable 5 agent call but some people have pushed those limits much higher as it wasn’t being technically throttle until last week.
WJW · 5h ago
Tragedy of the commons strikes again...
TrueDuality · 6h ago
One with only manual interactions and regular context resets. I have a couple of commands I'll use regularly that have 200-500 words in them but it's almost exclusively me riding that console raw.
I'm only on the $100 Max plan and stick to the Sonnet model and I'll run into the hard usage limits after about three hours, that's been down to about two hours recently. The resets are about every four hours.
Capricorn2481 · 6h ago
I'm not on the pro plan, but on $20/mo, I asked Claude some 20 questions on architecture yesterday and it hit my limit.
This is going to be happening with every AI service. They are all burning cash and need to dumb it down somehow. Whether that's running worse models or rate limiting.
micromacrofoot · 6h ago
I've seen prompts telling it to spawn an agent to review every change it makes... and they're not monitoring anything
khurs · 5h ago
All you people who were happy to pay $100 and $200 a month have ruined it for the rest of us!!
sneilan1 · 5h ago
So far I’ve had 3-4 Claude code instances constantly working 8-12 hours a day every day. I use it like a stick shift though. When I need a big plan doc, switch to recommended model between opus and sonnet. And for coding, use sonnet. Sometimes I hit the opus limit but I simply switch to sonnet for the day and watch it more closely.
nikisweeting · 2h ago
I do the same with two $200 MAX plans that I switch between when one hits the limit. I use opus exclusively though so I tend to hit the first account's limits at least once a day.
mpeg · 5h ago
Honest question: what do you do with them? I would be so fascinated to see a video of this kind of workflow… I feel like I use LLMs as much as I can while still being productive (because the code they generate has a lot of slop) and still barely use the agentic CLIs, mostly just tab completion through windsurf, and Claude for specific questions by steering the context manually pasting the relevant stuff
sneilan1 · 5h ago
I focus more on reading code & prompting claude to write code for me at a high level. I also experiment a lot. I don't write code anymore by hand except in very rare cases. I ask claude for questions about the code to build understanding. I have it produce documentation, which is then consumed into other prompts. Often, claude code will need several minutes on a task so I start another task. My coding throughput on a day to day basis is now the equivalent of about 2-3 people.
I also use gemini to try out trading ideas. For example, the other day I had gemini process google's latest quarterly report to create a market value given the total sum of all it's businesses. It valued google at $215. Then I bought long call options on google. Literally vibe day trading.
I use chat gpt sora to experiment with art. I've always been fascinated with frank lloyd wright and o4 has gotten good enough to not munge the squares around in the coonley playhouse image so that's been a lot of fun to mess with.
I use cheaper models & rag to automate categorizing of my transactions in Tiller. Claude code does the devops/python scripting to set up anything google cloud related so I can connect directly to my budget spreadsheet in google sheets. Then I use llama via openrouter + a complex RAG system to analyze my historical credit card data & come up with accurate categorizations for new transactions.
This is only scratching the surface. I now use claude for devops, frontend, backend, fixing issues with embedder models in huggingface candle. The list is endless.
aoaoaoans · 4h ago
Can you share some code? I work with a guy like this who claims this level of output but in reality he consumes massive amounts of other devs time in PR review.
Are you doing a lot of broad throwaway tasks? I’ve had similar feelings when writing custom code for my editor, one off scripts, etc but it’s nothing I would ever put my professional reputation behind.
MystK · 2m ago
I wouldn't blame AI. A terrible developer using AI becomes a bad developer. A good developer using AI becomes a great developer.
sneilan1 · 3h ago
Sorry, most of my code is proprietary. However, I have a stock exchange project on my github I plan to rewrite in rust. I'm pretty busy now at work but I'll do that using claude code.
If your friend is consuming massive amounts of other dev time in PR reviews, maybe he has other issues. I'm willing to bet even without agentic coding, he would still be problem for your coworkers.
Sometimes I do broad throwaway tasks. For example I needed a rust lambda function that would do appsync event authorization for jwt tokens. All it needed to do was connect to aws secrets, load up the keys & check inbound requests. I basically had claude-code do everything from cdk to building/testing the rust function & deploying to staging. It worked great! However, I've certainly had my fair share of f-ups like I recently tried doing some work on the frontend with claude code and didn't realize it was doing useEffect everywhere!! Whoops. So I had to adapt and manage 2-3x claude code instances extremely closely to prevent that from happening again.
sneilan1 · 3h ago
As a follow-up, I've gotten much much faster at modeling code in my mind and directly translating it into prompts. It really changes how you code! For each task, I'm extremely specific about what I want and depending on how closely claude does what I want, I change my specificity. Sometimes like with the lambda function, I can be high level and with my react.js codebase, due to it's lack of types (I know...) needs extra attention.
To be effective with agentic coding, you have to know when to go high level and low level. And have to accept that sometimes agentic coders need a lot of help! It all depends on how much context you give it.
apwell23 · 2h ago
lol thanks for ruining it for the rest of us. i am sure you created something groundbreaking with 4 instances of cc.
blibble · 6h ago
the day of COGS reckoning for the "AI" industry is approaching fast
smcameron · 2h ago
COGS == cost of goods sold?
andix · 4h ago
I guess flat fee AI subscriptions are not a thing that is going to work out.
Probably better to stay on usage based pricing, and just accept that every API call will be charged to your account.
jay_kyburz · 19m ago
Where is my model I can run local and off line?
That's when the LLM stuff is going to take off for me.
rob · 5h ago
I don't think CLI/terminal-based approaches are going to win out in the long run compared to visual IDEs like Cursor but I think Anthropic has something good with Claude Code and I've been loving it lately (after using only Cursor for a while.) Wouldn't be surprised if they end up purchasing Cursor after squeezing them out via pricing and then merging Cursor + Claude Code so you have the best of both worlds under one name.
bad_haircut72 · 3h ago
I went from pro to max because I hve been hitting limits, I could tell they were reducing it because I used to go multiple hours on pro but now its like 3. Congrats Anthropic you got $100 more out of me, at the cost of irrecoverable goodwill
hellcow · 3h ago
For what it's worth, when Cursor downgraded their Claude limits in the middle of my annual subscription term, I emailed them to ask for a pro-rated refund, and it was granted. You may be able to do something similar with Claude Code.
Changing the terms of the deal midway through a subscription to make it much less valuable is a really shady business practice, and I'm not sure it's legal.
tho234i32242234 · 3h ago
Hardly surprising.
AWS Bedrock which seems to be a popular way to get access to Claude etc. while not having to go through another "cloud security audit", will easily run up ~20-30$ bills in half-hour with something like Cline.
Anthropic likely is making bank with this and can afford to lose the less-profitable (or even loss-making) business of lone-man developers.
globular-toast · 5h ago
This is what really makes me sceptical of these tools. I've tried Claude Code and it does save some time even if I find the process boring and unappealing. But as much as I hate typing, my keyboard is mine and isn't just going to disappear one day, have its price hiked or refuse to work after 1000 lines. I would hate to get used to these tools then find I don't have them any more. I'm all for cutting down on typing but I'll wait until I can run things entirely locally.
bigiain · 5h ago
> my keyboard is mine and isn't just going to disappear one day, have its price hiked or refuse to work after 1000 lines.
I dunno, from my company or boss's perspective, there are definitely days where I've seriously considered just disappearing, demanding a raise, or refusing to work after the 3rd meeting or 17th Jira ticket. And I've seen cow orkers and friends do all three of those over my career.
(Perhaps LLMs are closer to replacing human developers that anyone has realized yet?)
MisterSandman · 5h ago
I guess the argument has time goes on AI will get cheaper and more efficient.
…but idk how true that, I think it’s pretty clear that these companies are using the Uber model to attract customers, and the fact that they’re already increasing prices or throttling is kind of insane.
ladon86 · 5h ago
I think it was just an outage that unfortunately returned 429 errors instead of something else.
deadbabe · 2h ago
Does anyone not realize they are just using the typical drug dealer type business model? I used to do cocaine and it was a similar vibe.
They will turn you into an AI junkie who no longer has motivation to do anything difficult on your own (despite having the skills and knowing how), and then, they will dramatically cut your usage limit and say you’ll need to pay more to use their AI.
And you will gladly pay more, because hey you are getting paid a lot and it’s only a few hundred extra. And look at all the time you save!
Soon you’re paying $2k a month on AI.
yahoozoo · 2h ago
Where’s your Ed at was right?
apwell23 · 6h ago
oh yea looks like everyone and their grandma is hitting claude code
Inside info is they are using their servers to prioritize training for sonnet 4.5 to launch at the same time as xAI dedicated coding model. xAI coding logic is very close to sonnet 4 and has anthropic scrambling. xAI sucks at making designs but codes really well.
Claude Code is not worth the time sink for anyone that already knows what they are doing. It's not that hard to write boilerplate and standard llm auto-predict was 95% of the way to Claude Code, Continue, Aider, Cursor, etc without the extra headaches. The hangover from all this wasted investment is going to be so painful.
serf · 6h ago
>Claude Code is not worth the time sink
there are like 15~ total pages of documentation.
There are two folders , one for the home directory and one for the project root. You put a CLAUDE.md file in either folder which essentially acts like a pre-prompt. There are like 5 'magic phrases' like "think hard", 'make a todo', 'research..' , and 'use agents' -- or any similar set of phrases that trigger that route.
Every command can be ran in the 'REPL' environment for instant feedback, it itself can teach you how to use the product, and /help will list every command.
The hooks document is a bit incomplete last I checked, but it's a fairly straightforward system, too.
That's about it -- now explain vi/vim/emacs/pycharm/vscode in a few sentences for me. The 'time sink' is like 4 hours for someone that isn't learning how to use the computer environment itself.
freedomben · 5h ago
Yeah, Claude Code was by far the quickest/easiest for me to get set up. The longest part was just getting my API key
Sevii · 6h ago
I've spent far too much of my life writing boilerplate and API integrations. Let Claude do it.
axpy906 · 6h ago
I agree. It’s a lot faster to tell it what I want and work on something else in the meantime. You end up ready code diffs more than writing code but it saves time.
Implicated · 5h ago
Comments like this remind me that there's a whole host of people out there who have _no idea_ what these tools are capable of doing to ones productivity or skill set in general.
> It's not that hard to write boilerplate and standard llm auto-predict was 95% of the way to Claude Code, Continue, Aider, Cursor, etc without the extra headaches.
Uh, no. To start - yea, boilerplate is easy. But like a sibling comment to this one said - it's also tedious and annoying, let the LLM do it. Beyond that, though, is that if you apply some curiosity and that "anyone that already knows what they are doing" level prior knowledge you can use these tools to _learn_ a great deal.
You might think your way of doing things is perfect, and the only way to do them - but I'm more of the mindset that there's a lot of ways to skins most of these cats. I'm always open to better ways to do things - patterns or approaches I know nothing about that might just be _perfect_ for what I'm trying to do. And given that I do, in general, know what I'm asking it to do, I'm able to judge whether it's approach is any good. Sometimes it's not, no big deal. Sometimes it opens my mind to something I wasn't aware of, or didn't understand or know would apply to the given scenario. Sometimes it leads me into rabbit holes of "omg, that means I could do this ... over there" and it turns into a whole ass refactor.
Claude code has broadened my capabilities, professionally, tremendously. The way it makes available "try it out and see how it works" in terms of trying multiple approaches/libraries/databases/patterns/languages and how those have many times led me to learning something new - honestly, priceless.
I can see how these tools would scare the 9-5 sit in the office and bang out boilerplate stuff, or to those who are building things that have never been done before (but even then, there's caveats, IMO, to how effective it would/could be in these cases)... but to people writing software or building things (software or otherwise) because they enjoy it or because they're financial or professional lives depend on what they're building - absolutely astonishing to me anyone who isn't embracing these tools with open arms.
With all that said. I keep the MCP servers limited to only if I need it in that session and generally if I'm needing an MCP server in an on-going basis I'm better off building a tool or custom documentation around that thing. And idk about all that agent stuff - I got lucky and held out for Claude Code, dabbled a bit with others and they're leagues behind. If I need an agent I'ma just tap on CC, for now.
Context and the ability to express what you want in a way that a human would understand is all you need. If you screw either of those up, you're gonna have a bad time.
adamtaylor_13 · 4h ago
Well said. People seem to be binary: I code with it or I don’t.
Very few folks are talking about using the LLMs to sharpen THE DEVELOPER.
Just today I troubleshot an issue that likely would’ve taken me 2-3 hours without additional input. I wrapped it up and put a bow on it in 15 minutes. Oh, and also wrote a CLI tool fix the issue for me next time. Oh and wrote a small write up for the README for anyone else who runs into it.
Like… if you’re not embracing these tools at SOME level, you’re just being willfully ignorant at this point. There’s no badge of honor for willfully staying stuck in the past.
No comments yet
38 · 5h ago
Claude is absolute trash. I am on the paid plan and repeatedly hit the limits. and their support is essentially non existing, even for paid accounts
Vibe limit reached. Gotta start doing some thinking.
For example, when playing around with claude code using a per token paid API key, it was going to cost ~$50aud a day with pretty general usage.
But their subscription plan is less than that per month. Them lowering their limits suggests that this wasn't proving profitable at the current limits.
Paid compilers and remotely acessible mainframes all over again - people apparently never learn.
For developers who read and understand the code being generated, the tool could go away and it would only slow you down, not block progress.
And even if you don’t, it really isn’t a hard dependency on a particular tool. There are multiple competing tools and models to choose from, so if you can’t make progress with one, switch to another. There isn’t much lock-in to any specific tool.
I don't think this one is a good comparison.
Once you had the binary, the compiler worked forever[1]
The issue with them was around long term support for bugs and upgrade path as the language evolved.
---
[1] as long you had a machine capable of running/emulating the instruction set for the binary.
The destruction of spelling didn’t feel like doomsday to us. In fact, I think most people treated the utter annihilation of that skill as a joke. “No one knows how to spell anymore” - haha, funny, isn’t technology cute? Not really. We’ve gone up an order of magnitude, and not paying attention to how programming is on the chopping block is going to screw a lot of people out of that skill.
I'm surprised, but know I shouldn't be, that we're at this point already.
Its not, but it does matter. LLMs, being next word guessers, perform differently with different inputs. Its not hard to imagine a feedback loop of bad code generating worse code and good code generating more good code.
My ability to get good responses from LLMs has been tied to me writing better code, docstrings, and using autoformatters.
They've just done the work to tailor it specifically for proper tool using during coding. Once other models catch up, they will not be able to be so stingy on limits.
Google has the advantage here given they're running on their own silicon; can optimize for it; and have nearly unlimited cashflows they can burn.
I find it amusing nobody here in the comments can understand the scaling laws of compute. It seems like people have a mental model of Uber burned into their head thinking that at some point the price has to go up. AI is not human labor.
Over time the price of compute will fall, not rise. Losing money in the short term betting this will happen is not a dumb strategy given it's the most likely scenario.
I know everybody really wants this bubble to pop so they can make themselves feel smart for "calling it" (and feel less jealous of the people who got in early) and I'm sure there will be a pop, but in the long term this is all correct.
Are they really ready to burn money for 8 years?
Amazon operated at a loss for 9 years, and barely turned a profit for over a decade longer than that. They're now one of the greatest businesses of all time.
Spotify operated at a loss for 17 years until becoming profitable. Tesla operated at a loss for 17 years before turning a profit. Palantir operated at a loss for 20 years before turning a profit.
And this was before the real age of Big Tech. Google has more cashflows they can burn than any of these companies ever raised, combined.
Uber operated at a loss to destroy competition and raised prices after they did that.
Amazon (the retailer) did the same and leveraged their position to enter new more lucrative markets.
Dunno about Spotify, but Tesla and palantir both secured lucrative contracts and subsidies.
Anthropic is against companies with deeper pockets and can’t spend to destroy competition, their current business model can only survive if they reduce costs or raise prices. Something’s got to give
Re: Anthropic specifically, I tend to agree, hence why I'm saying the deeper pockets (eg. Google, Amazon, etc) are perfectly positioned to win here. However, big companies have a way of consistently missing the future due to internal incentive issues. Google is deathly afraid of cannibalizing their existing businesses.
Plus, there's many investors with deep pockets who would love to get in on Anthropic's next round if their technical lead proves to be durable over time (like 6 months in AI terms).
This fight is still early innings.
Small models have also been improving steadily in ability, so it is feasible that a task that needs Claude Opus today could be done by Sonnet in a year's time. This trend of model "efficiency" will add on top of compute getting cheaper.
Although, that efficiency would probably be quickly eaten up by increased appetites for higher performance, bigger, models.
Currently it's much more important to manage context, split tasks, retry when needed, not getting stuck in an infinite loop, expose the right tools (but not too many), ...
I don't subscribe to the $100 a month plan, I am paying API usage pricing. Accordingly I have learned how to be much more careful with Claude Code than I think other users are. The first day I used it, Claude got stuck in a loop trying to fix a problem using the same 2 incorrect solutions again and again and burnt through $30 of API credits before I realized things were very wrong and I stopped it.
Ever since then I've been getting away with $3-$5 of usage per day, and accomplishing a lot.
Anthropic needs to find a way to incentivize developers to better use Claude Code, because when it goes off the rails, it really goes off the rails.
Industries can often get away with polluting when they're small, but once they reach planet scale salting the earth behind you is not as reliable of a tactic.
The NLP these models can do is definitely impressive, but they aren't 'thinking'. I find myself easily falling into the habit of filtering a lot of what the model returns and picking out the good parts which is useful and relatively easy for subjects I know well. But for a topic that I am not as familiar with, that filtering (identifying and dismissing) I do is much less finessed, and a lot of care needs to be taken to not just accept what is being presented. You can still interrogate each idea presented by the LLM to ensure you aren't being led astray, and that is still useful for discovering things, like traditional search, but once you mix agents into this, things can go off the rails far too quickly than I am comfortable with.
I couldn't believe how many requests I could get in. I wasn't using this full-time for an entire workweek, but I thought for sure I'd be running into the $20/month limits quickly. Yet I never did.
To be fair, I spent a lot of time cleaning up after the AI and manually coding things it couldn't figure out. It still seemed like an incredible number of tokens were being processed. I don't have concrete numbers, but it felt like I was easily getting $10-20 worth of tokens (compared to raw API prices) out of it every single day.
My guess is that they left the limits extremely generous for a while to promote adoption, and now they're tightening them up because it’s starting to overwhelm their capacity.
I can't imagine how much vibe coding you'd have to be doing to hit the limits on the $200/month plan like this article, though.
If you think a lot, you can spend hundreds of dollars easily.
Think beyond just saying "do this one thing".
What do you do for hours?
If all you're thinking about is code output, you're thinking too small.
https://www.anthropic.com/news/claude-4
It was given a task and it solved a problem by operating for 7 hours straight.
I'm paying for Max, and when I use the tooling to calculate the spend returned by the API, I can see it's almost $1k! I have no idea how much quota I have left until the next block. The pricing returned by the API doesn't make any sense.
I hire someone for say £5K/mo. They then spend $200/mo or is it a $1000/wk on Claude or whatevs.
Profit!
Known as the Uber model or Amazon vs Diapers.com
To be fair that was a little different; Amazon wanted to buy the parent company of Diapers.com so sold at a loss to tank the value of the company so they could buy it cheap.
I’ll assuming this is real and not trolling. Who are the customers? What kind of people spend that much? I know people using $200-300 models but this is 10x that!
What do you mean? That’s totally a good reason to be pissed off at them. I’m so tired of products that launch before they have a clear path to profitability.
PMF.
Users are no doubt working these things even harder than I am. There's no way they can be profitable at $200 a month with unlimited usage.
I think we're going to evolve into a system that intelligently allocates tasks based on cost. I think that's part of what openrouter is trying to do, but it's going to require a lot of context information to do the routing correctly.
And I was thinking to myself, “How does this make any sense financially for Anthropic to let me have all of this for $200/month?”
And then I kept getting hit with those overloaded api errors so I canceled my plan and went back to API tokens.
I still have no idea what they’re doing over there but I’ll happily pay for access. Just stop dangling that damn $200/month in my face if you’re not going to honor it with reasonable access.
I find sonnet really useful for coding but I never even hit basic limits. at $20/mo. Writing specs, coming up with documentation, doing wrote tasks for which many examples exist in the database. Iterate on particular services etc.
Are these max users having it write the whole codebase w/ rewrites? Isn't it often just faster to fix small things I find incorrect than type up why I think it's wrong in English and have it do a whole big round trip?
I have two big workflows: plan and implement. Plan follows a detailed workflow to research an idea and produce a planning document for how to implement it. This routinely takes $10-30 in API credits to run in the background. I will then review this 200-600 line document and fix up any mistakes or remove unnecessary details.
Then implement is usually cheaper, and it will take that big planning document, make all the changes, and then make a PR in GitHub for me to review. This usually costs $5-15 in API credits.
All it takes is for me to do 3-4 of these in one 5-hour block and I will hit the rate-limit of the $100 Max plan. Setting this up made me realise just how much scaffolding you can give to Opus and it handles it like a champ. It is an unbelievably reliable model at following detailed instructions.
It is rare that I would hit the rate-limits if I am just using Claude Code interactively, unless I am using it constantly for hours at a time, which is rare. Seems like vibe coders are the main people who would hit them regularly.
Whenever I use it, I typically do much smaller asks, eg “add a button here”, “make that button trigger a refresh with a filter of such state…”
https://github.com/shepherdjerred/scout-for-lol/blob/6c6a3ca...
I have also used this for creating new UI components or admin pages. One thing I have noticed is that the planning step is pretty good at searching through existing UI components to follow their patterns to maintain consistency. If I just asked Claude to make the change straight away, it often won't follow the patterns of our codebase.
But for UI components, adding new pages, or things like that, it is usually more useful just as a starting point and I will often need to go in and tweak things from there. But often it is a pretty good starting point. And if it's not, I can just discard the changes anyway.
I find this is not worth it for very small tasks though, like adding a simple button or making a small behaviour change to a UI component. It will usually overcomplicate these small tasks and add in big testing rigs or performance optimisations, or other irrelevant concerns. It is like it doesn't want to produce a very short plan. So, for things like this I will use Claude interactively, or just make the change manually. Honestly, even if it did do a good job at these small tasks, it would still seem like overkill.
K&R C is underspecified. And anyone who whines about AI code quality? Hold my beer, look at our 1980's source.
I routinely have a task manager feed eight parallel Claude Code Opus 4 sessions their next source file to study for a specific purpose, to get through all 57 faster. That will hit my $200 Max limit, reliably.
Of course I should just wait a year, and AI will read the code base all at once. People _talk_ like it does now. It doesn't. Filtering information is THE critical issue for managing AI in 2025.
The most useful tool I've written to support this effort is a tmux interface, so AI and I can debug together two terminal sessions at once: The old 32-bit code running on a Linode instance, and the new 64-bit code running locally on macOS. I wasn't happy with how the tools for this worked, that I could find online. It blows my mind to watch Opus 4 debug.
This is my experience: at some point the AI isn't converging to a final solution and it's time to finish the rest by hand.
If you find yourself going back and forth with the AI, you're probably not saving time over a traditional google search
Edit: and it basically never oneshots anything correctly
No comments yet
One day my very first prompt in the morning was blocked. Super strange.
Personally I’ve never hit a usage limit on the $100 plan even when running several Claude tabs at once. I can’t imagine how people can max out the $200 plan.
https://claude-code-analysis.pages.dev/
I'd be extremely surprised if Anthropic picked now of all times to decide on COGS optimisation. They potentially can take a significant slice of the entire DevTools market with the growth they are seeing, seems short sighted to me to nerf that when they have oodles of cash in bank and no doubt people hammering at their door to throw more cash at them.
I think Claude Code is a much better concept, the coding agent doesn't need to be connected to the IDE at all. Which also means you can switch even faster to a competitor. In that sense, Claude Code may have been a huge footgun. Gaining market share might turn out to be completely worthless.
I suspected that something like this might happen, where the demand will outstrip the supply and squeeze small players out. I still think demand is in its infancy and that many of us will be forced to pay a lot more. Unless of course there are breakthroughs. At work I recently switched to non-reasoning models because I find I get more work done and the quality is good enough. The queue to use Sonnet 3.7 and 4.0 is too long. Maybe the tools will improve reduce token count, e.g. a token reducing step (and maybe this already exists).
Also there's likely only so much fixed compute available, and it might be getting re allcoated for other uses behind the scene from time to time as more compute arrives.
This is probably another marketing stunt. Turn off the flow of cocaine and have users find out how addicted they are. And they'll pay for the purest cocaine, not for second grade.
I just worry that there’s little incentive for bit corporations to research optimising the “running queries for a single user in a consumer GPU” use case. I wonder if getting funding for such research is even viable at all.
The issue is (1) the extra size supports extra knowledge/abilities for the model. (2) a lot of the open source models are trained in a way to not compete with the paid offerings, or lack the data set of useful models.
Specifically, it seems like the tool-use heavy “agentic” work is not being pushed to open models as aggressively as the big closed models. Presumably because that’s where the money is.
I'm only on the $100 Max plan and stick to the Sonnet model and I'll run into the hard usage limits after about three hours, that's been down to about two hours recently. The resets are about every four hours.
This is going to be happening with every AI service. They are all burning cash and need to dumb it down somehow. Whether that's running worse models or rate limiting.
I also use gemini to try out trading ideas. For example, the other day I had gemini process google's latest quarterly report to create a market value given the total sum of all it's businesses. It valued google at $215. Then I bought long call options on google. Literally vibe day trading.
I use chat gpt sora to experiment with art. I've always been fascinated with frank lloyd wright and o4 has gotten good enough to not munge the squares around in the coonley playhouse image so that's been a lot of fun to mess with.
I use cheaper models & rag to automate categorizing of my transactions in Tiller. Claude code does the devops/python scripting to set up anything google cloud related so I can connect directly to my budget spreadsheet in google sheets. Then I use llama via openrouter + a complex RAG system to analyze my historical credit card data & come up with accurate categorizations for new transactions.
This is only scratching the surface. I now use claude for devops, frontend, backend, fixing issues with embedder models in huggingface candle. The list is endless.
Are you doing a lot of broad throwaway tasks? I’ve had similar feelings when writing custom code for my editor, one off scripts, etc but it’s nothing I would ever put my professional reputation behind.
If your friend is consuming massive amounts of other dev time in PR reviews, maybe he has other issues. I'm willing to bet even without agentic coding, he would still be problem for your coworkers.
Sometimes I do broad throwaway tasks. For example I needed a rust lambda function that would do appsync event authorization for jwt tokens. All it needed to do was connect to aws secrets, load up the keys & check inbound requests. I basically had claude-code do everything from cdk to building/testing the rust function & deploying to staging. It worked great! However, I've certainly had my fair share of f-ups like I recently tried doing some work on the frontend with claude code and didn't realize it was doing useEffect everywhere!! Whoops. So I had to adapt and manage 2-3x claude code instances extremely closely to prevent that from happening again.
To be effective with agentic coding, you have to know when to go high level and low level. And have to accept that sometimes agentic coders need a lot of help! It all depends on how much context you give it.
Probably better to stay on usage based pricing, and just accept that every API call will be charged to your account.
That's when the LLM stuff is going to take off for me.
Changing the terms of the deal midway through a subscription to make it much less valuable is a really shady business practice, and I'm not sure it's legal.
AWS Bedrock which seems to be a popular way to get access to Claude etc. while not having to go through another "cloud security audit", will easily run up ~20-30$ bills in half-hour with something like Cline.
Anthropic likely is making bank with this and can afford to lose the less-profitable (or even loss-making) business of lone-man developers.
I dunno, from my company or boss's perspective, there are definitely days where I've seriously considered just disappearing, demanding a raise, or refusing to work after the 3rd meeting or 17th Jira ticket. And I've seen cow orkers and friends do all three of those over my career.
(Perhaps LLMs are closer to replacing human developers that anyone has realized yet?)
…but idk how true that, I think it’s pretty clear that these companies are using the Uber model to attract customers, and the fact that they’re already increasing prices or throttling is kind of insane.
They will turn you into an AI junkie who no longer has motivation to do anything difficult on your own (despite having the skills and knowing how), and then, they will dramatically cut your usage limit and say you’ll need to pay more to use their AI.
And you will gladly pay more, because hey you are getting paid a lot and it’s only a few hundred extra. And look at all the time you save!
Soon you’re paying $2k a month on AI.
https://github.com/anthropics/claude-code/issues/3572
Inside info is they are using their servers to prioritize training for sonnet 4.5 to launch at the same time as xAI dedicated coding model. xAI coding logic is very close to sonnet 4 and has anthropic scrambling. xAI sucks at making designs but codes really well.
there are like 15~ total pages of documentation.
There are two folders , one for the home directory and one for the project root. You put a CLAUDE.md file in either folder which essentially acts like a pre-prompt. There are like 5 'magic phrases' like "think hard", 'make a todo', 'research..' , and 'use agents' -- or any similar set of phrases that trigger that route.
Every command can be ran in the 'REPL' environment for instant feedback, it itself can teach you how to use the product, and /help will list every command.
The hooks document is a bit incomplete last I checked, but it's a fairly straightforward system, too.
That's about it -- now explain vi/vim/emacs/pycharm/vscode in a few sentences for me. The 'time sink' is like 4 hours for someone that isn't learning how to use the computer environment itself.
> It's not that hard to write boilerplate and standard llm auto-predict was 95% of the way to Claude Code, Continue, Aider, Cursor, etc without the extra headaches.
Uh, no. To start - yea, boilerplate is easy. But like a sibling comment to this one said - it's also tedious and annoying, let the LLM do it. Beyond that, though, is that if you apply some curiosity and that "anyone that already knows what they are doing" level prior knowledge you can use these tools to _learn_ a great deal.
You might think your way of doing things is perfect, and the only way to do them - but I'm more of the mindset that there's a lot of ways to skins most of these cats. I'm always open to better ways to do things - patterns or approaches I know nothing about that might just be _perfect_ for what I'm trying to do. And given that I do, in general, know what I'm asking it to do, I'm able to judge whether it's approach is any good. Sometimes it's not, no big deal. Sometimes it opens my mind to something I wasn't aware of, or didn't understand or know would apply to the given scenario. Sometimes it leads me into rabbit holes of "omg, that means I could do this ... over there" and it turns into a whole ass refactor.
Claude code has broadened my capabilities, professionally, tremendously. The way it makes available "try it out and see how it works" in terms of trying multiple approaches/libraries/databases/patterns/languages and how those have many times led me to learning something new - honestly, priceless.
I can see how these tools would scare the 9-5 sit in the office and bang out boilerplate stuff, or to those who are building things that have never been done before (but even then, there's caveats, IMO, to how effective it would/could be in these cases)... but to people writing software or building things (software or otherwise) because they enjoy it or because they're financial or professional lives depend on what they're building - absolutely astonishing to me anyone who isn't embracing these tools with open arms.
With all that said. I keep the MCP servers limited to only if I need it in that session and generally if I'm needing an MCP server in an on-going basis I'm better off building a tool or custom documentation around that thing. And idk about all that agent stuff - I got lucky and held out for Claude Code, dabbled a bit with others and they're leagues behind. If I need an agent I'ma just tap on CC, for now.
Context and the ability to express what you want in a way that a human would understand is all you need. If you screw either of those up, you're gonna have a bad time.
Very few folks are talking about using the LLMs to sharpen THE DEVELOPER.
Just today I troubleshot an issue that likely would’ve taken me 2-3 hours without additional input. I wrapped it up and put a bow on it in 15 minutes. Oh, and also wrote a CLI tool fix the issue for me next time. Oh and wrote a small write up for the README for anyone else who runs into it.
Like… if you’re not embracing these tools at SOME level, you’re just being willfully ignorant at this point. There’s no badge of honor for willfully staying stuck in the past.
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