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Claude Code Routines

code.claude.com

151–160 of 451 posts

Re: Claude Code Routines

#151

Given the alleged recent extreme reduction in Claude Code usage limits ( https://news.ycombinator.com/item?id=47739260 ), how do these more autonomous tools work within that constraint? Are they effectively only usable with a 20x Max plan? EDIT: This comment is apparently [dead] and idk why.

I've been talking to friends about this extensively, and read all sorts of different social media posts on X where people deep dove things (I'm at work so I don't have any links handy - though I did submit one on HN, grain of salt, unsure how valid it is but it was interesting: https://news.ycombinator.com/item?id=47752049 ). I think the real issue stems from the 1 Million token context window change. They did not an…

Yea, I've realized that if I stay under 200k tokens I basically don't have usage issues any more.

A bit annoying, but not the end of the world.

Re: Claude Code Routines

#152

LLMs and LLM providers are massive black boxes. I get a lot of value from them and so I can put up with that to a certain extent, but these new "products"/features that Anthropic are shipping are very unappealing to me. Not because I can't see a use-case for them, but because I have 0 trust in them: - No trust that they won't nerf the tool/model behind the feature - No trust they won't sunset the feature (the graveya…

They're trying to find ways to lock you in

Re: Claude Code Routines

#153

LLMs and LLM providers are massive black boxes. I get a lot of value from them and so I can put up with that to a certain extent, but these new "products"/features that Anthropic are shipping are very unappealing to me. Not because I can't see a use-case for them, but because I have 0 trust in them: - No trust that they won't nerf the tool/model behind the feature - No trust they won't sunset the feature (the graveya…

This sounds like someone complaining about how Windows is a black box while ignoring the existence of Linux/BSD.

I'm currently hosting, on very reasonable consumer grade hardware, an LLM that is on par performance wise what every anyone was paying for about a year ago. Including all the layers in between the model and the user.

Llama.cpp serves up Gemma-4-26B-A4B, Open WebUI handles the client details: system prompt, web search, image gen, file uploading etc. With Conduit and Tailscale providing the last layer so I can have a mobile experience as robust as anything I get from Anthropic, plus I know how all the pieces works and can upgrade, enhance, etc to my hearts delight. All this runs from a pretty standard MBP at > 70 tokens/sec.

If you want to better understand the agent side of things, look into Hermes agent and you can start understanding the internals of how all this stuff is done. You can run a very competitive coding agent using modest hardware and open models. In a similar note, image/video gen on local hardware has come a long way.

Just like Linux, you're going to exchanging time for this level of control, but it's something anyone who takes LLMs seriously and has the same concerns can easily get started with.

Yet I still see comments like this that seem to complete ignore the incredible work in the open model community that has been perpetually improving and is starting to really be competitive. If you relax the "local" requirement and just want more performance from an LLM backend you can replace the llama.cpp part with a call to Kimi 2.5 or Minimax 2.7 (which you could feasibly run at home, not kimi though). You can still control all the additional part of the experience but run models that are very competitive with current proprietary SoTA offering, 100% under your control still and a fraction of the price.

Re: Claude Code Routines

#154

Earlier quoted context omitted.

Wouldn't that amount to fraud?

Serious question, do we actually know what we're paying for? All I know is it's access to models via cli, aka Claude Code. We don't know what models they use, how system prompt changes or what are the actual rate limits (Yet Anthropic will become 1 trillion dollars company in a moment).

> We don't know what models they use, how system prompt changes or what are the actual rate limits (Yet Anthropic will become 1 trillion dollars company in a moment).

Not just that, but there’s really no way to come to an objective consensus of how well the model is performing in the first place. See: literally every thread discussing a Claude outage or change of some kind. “Opus is absolutely incredible, it’s one shotting work that would take me months” immediately followed by “no it’s totally nerfed now, it can’t even implement bubble sort for me.”

Re: Claude Code Routines

#156
post #107

Unrelated, but Claude was performing so tragically last few days, maybe week(s), but days mostly, that I had to reluctantly switch. Reluctantly because I enjoy it. Even the most basic stuff, like most python scripts it has to rerun because of some syntax error. The new reality of coding took away one of the best things for me - that the computer always just does what it is told to do. If the results are wrong it mean…

I'm the first to be tired of everyone, for every model, that says "uuuh became dumber" because I didn't believe them ... until this week! Opus is struggling worse than Sonnet those last two weeks.

Likewise, I foolishly assumed everybody else was just doing it wrong.

But this week I've lost count of the times I've had to say something along the lines of: "Can you check our plan/instructions, I'm pretty sure I said we need to do [this thing] but you've done [that thing]..."

And get hit with a "You're absolutely right...", which virtually never happened for me. I think maybe once since Opus 4-6.

Re: Claude Code Routines

#157
post #107

Unrelated, but Claude was performing so tragically last few days, maybe week(s), but days mostly, that I had to reluctantly switch. Reluctantly because I enjoy it. Even the most basic stuff, like most python scripts it has to rerun because of some syntax error. The new reality of coding took away one of the best things for me - that the computer always just does what it is told to do. If the results are wrong it mean…

Codex with 5.4 xhigh. It's a bad communicator but does the job.

Re: Claude Code Routines

#158

LLMs and LLM providers are massive black boxes. I get a lot of value from them and so I can put up with that to a certain extent, but these new "products"/features that Anthropic are shipping are very unappealing to me. Not because I can't see a use-case for them, but because I have 0 trust in them: - No trust that they won't nerf the tool/model behind the feature - No trust they won't sunset the feature (the graveya…

> - No trust that they won't nerf the tool/model behind the feature

To the contrary, they've proven again and again and again they'll absolutely do that the first chance they get.

Re: Claude Code Routines

#159
post #133

Earlier quoted context omitted.

I believe the current game everybody plays is: * make sure the model maxes out all benchmarks * release it * after some time, nerf it * repeat the same with the next model However, the net sum is positive: in general, models from 2026 are better than those from 2024.

yup, after the token-increase from CC from two weeks ago, I'm now consistently filling the 1M context window that never went above 30-40% a few days ago. Did they turn it off? I used to see the Co-Authored by Opus 4.6 (1M Context Window) in git commits, now the advert line is gone. I never turned it on or off, maybe the defaults changed but /model doesn't show two different context sizes for Opus 4.6 I never asked fo…

The default prompt cache TTL changed from 1 hour to 5 minutes. Maybe this is what you are experiencing.

Re: Claude Code Routines

#160

Earlier quoted context omitted.

I fully endorse building a custom stack (1) because you will learn a lot (2) for full control and not having Big Ai define our UX/DX for this technology. Let's learn from history this time around?

Here's the problem I keep running into with AI and 'history'. We all know where this is going. We'll pick our winners and losers in the interim, but so far, this is a technology that mostly impacts tech practitioners. Most people don't care, in the sense that you're a taxi driver. Perhaps you have a manual transmission and the odd person comments on your prowess with it. No one cares. I see a bunch of boys making foo…

Theres something bizarre going on and many have completely lost their minds.

The funniest thing Ive heard is that now we have LLMs, Humanoid robots are on the horizon. Like wtf? People who jump to these conclusions were never deep thinkers in the first place. And thats OK, its good to signal that. So we know who to avoid.

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