4 ms·

Claude Code users hitting usage limits 'way faster than expected'

22 points by steveharing1 6mo ago

general_reveal 6mo ago
[flagged]
- roomey 6mo ago
  Your gonna get flagged and all for this comment..... But I agree. Is there a HN frontend that filters out mentions of AI, it would make a nice change... Maybe I should AI code it /just joking
  - theblazehen 6mo ago
    I'm unironically working on a proxy that filters sites like reddit, hn, etc by using user provided LLM rules
gregoriol 6mo ago
Is that really on BBC? what a world we live in...
- illwrks 6mo ago
  Anthropic launched in the UK recently (Feb I think) so I expect it’s as a consequence of that.
  - steveharing1 6mo ago
    Yes it could be possible
akmarinov 6mo ago
Yeah the whole OpenAI exodus brought in a ton of people and Anthropic was struggling to meet the previous usage already That’s why there’re now work hours restrictions
- steveharing1 6mo ago
  Yes that make sense also Since Anthropic says other Chinese companies using their data for their models, they might be limiting use on new accounts.
  - mentalgear 6mo ago
    How ironic: once the exfiltrators of all of the web's data have consolidated it into their own walled-garden it becomes 'proprietary' and must - of course - be protected from exfiltration by others as if it was their own.
    - steveharing1 6mo ago
      This is something these tech giants ignore intentionally. Infact many people don't even know about how they train their model by scraping data for free & when it comes to their code being open source, you see Takedowns lol. Interestingly, Anthropic made a bigger Contribution to open source itself.
  - vagrantJin 6mo ago
    Not their data.
- jamiemallers 6mo ago
  [dead]
GuestFAUniverse 6mo ago
For a start they could make the answers less talkative? I switched back to ChatGPT out of necessity, because Claude stopped working after two queries, where it gave overly elaborate answers (about a simple web app config). But Claude isn't alone. It seems a recent (subjective) trend that Claude and ChatGPT give very lengthy answers, with a lot of repetition from the original query on the free plans. I got used to add "answer briefly", to keep the noise in check.
- goalieca 6mo ago
  And just as with a real human rambler, the longer they rambler, the more likely they are to start making stuff up and asserting false truths
- steveharing1 6mo ago
  Yes lately i've also noticed the same pattern that Model try to provide over explaination to even simple stuff & that points to its system prompt or something internal instructions to waste tokens to hit limits
mentalgear 6mo ago
> Anthropic recently accidentally released part of its internal source code for Claude Code due to "human error". I wonder who that human was counting on leading up to this "human error" ...
SamuelBraude 6mo ago
There are ways to reduce token usage if you use Claude correctly :)
edimuj 6mo ago
I got curious where my tokens were actually going, so I wrote a quick audit tool that reads the Claude Code session logs. Turns out the biggest sink isn't your prompts. It's the agent's own tool calls. In my case, grep alone ate 3.5M tokens across ~350 sessions. 1800+ calls, most of them dumping raw output that the agent barely used. Full file reads for one function signature. Complete test output when only failures matter. So I built wrappers: function signatures without bodies (~90% smaller), test output with just failures, that kind of thing. 2.3M tokens saved so far. You can audit your own sessions without installing anything: npx tokenlean audit --all --savings https://github.com/edimuj/tokenlean https://github.com/edimuj/tokenlean
- cscharenberg 6mo ago
  Neat! Installed this for Claude Code and am adding Codex support to offer back, assuming it works out. Great tool idea and looking forward to seeing it in operation over the next few days. The 'audit' command is a great feature idea more tools should integrate.
- wellthisisgreat 6mo ago
  can I use it with rtk and headroom?

22 points by steveharing1 6mo ago

general_reveal 6mo ago

[flagged]

roomey 6mo ago
Your gonna get flagged and all for this comment..... But I agree. Is there a HN frontend that filters out mentions of AI, it would make a nice change... Maybe I should AI code it /just joking
- theblazehen 6mo ago
  I'm unironically working on a proxy that filters sites like reddit, hn, etc by using user provided LLM rules

gregoriol 6mo ago

Is that really on BBC? what a world we live in...

illwrks 6mo ago
Anthropic launched in the UK recently (Feb I think) so I expect it’s as a consequence of that.
- steveharing1 6mo ago
  Yes it could be possible

akmarinov 6mo ago

Yeah the whole OpenAI exodus brought in a ton of people and Anthropic was struggling to meet the previous usage already That’s why there’re now work hours restrictions

steveharing1 6mo ago
Yes that make sense also Since Anthropic says other Chinese companies using their data for their models, they might be limiting use on new accounts.
- mentalgear 6mo ago
  How ironic: once the exfiltrators of all of the web's data have consolidated it into their own walled-garden it becomes 'proprietary' and must - of course - be protected from exfiltration by others as if it was their own.
  - steveharing1 6mo ago
    This is something these tech giants ignore intentionally. Infact many people don't even know about how they train their model by scraping data for free & when it comes to their code being open source, you see Takedowns lol. Interestingly, Anthropic made a bigger Contribution to open source itself.
- vagrantJin 6mo ago
  Not their data.
jamiemallers 6mo ago
[dead]

GuestFAUniverse 6mo ago

For a start they could make the answers less talkative? I switched back to ChatGPT out of necessity, because Claude stopped working after two queries, where it gave overly elaborate answers (about a simple web app config). But Claude isn't alone. It seems a recent (subjective) trend that Claude and ChatGPT give very lengthy answers, with a lot of repetition from the original query on the free plans. I got used to add "answer briefly", to keep the noise in check.

goalieca 6mo ago
And just as with a real human rambler, the longer they rambler, the more likely they are to start making stuff up and asserting false truths
steveharing1 6mo ago
Yes lately i've also noticed the same pattern that Model try to provide over explaination to even simple stuff & that points to its system prompt or something internal instructions to waste tokens to hit limits

mentalgear 6mo ago

> Anthropic recently accidentally released part of its internal source code for Claude Code due to "human error". I wonder who that human was counting on leading up to this "human error" ...

SamuelBraude 6mo ago

There are ways to reduce token usage if you use Claude correctly :)

edimuj 6mo ago

I got curious where my tokens were actually going, so I wrote a quick audit tool that reads the Claude Code session logs. Turns out the biggest sink isn't your prompts. It's the agent's own tool calls. In my case, grep alone ate 3.5M tokens across ~350 sessions. 1800+ calls, most of them dumping raw output that the agent barely used. Full file reads for one function signature. Complete test output when only failures matter. So I built wrappers: function signatures without bodies (~90% smaller), test output with just failures, that kind of thing. 2.3M tokens saved so far. You can audit your own sessions without installing anything: npx tokenlean audit --all --savings https://github.com/edimuj/tokenlean https://github.com/edimuj/tokenlean

cscharenberg 6mo ago
Neat! Installed this for Claude Code and am adding Codex support to offer back, assuming it works out. Great tool idea and looking forward to seeing it in operation over the next few days. The 'audit' command is a great feature idea more tools should integrate.
wellthisisgreat 6mo ago
can I use it with rtk and headroom?