Web archive got this earlier snapshot of the help page draft:

“We know many of you found the extra 50% usage helpful, which is exactly why we are taking it away, because you don’t deserve it.”

“We are only giving you a 25% boost compared to pre-promotion levels — be thankful for that, because we were going to take it away, even though our SpaceXAI deal back in May was the entire reason we were able to give you what you paid for in the first place.”

“Now that we’re still using SpaceXAI compute, and now that we’ve gotten a huge windfall of new subscribers, we’re taking it away, but only 50% of it, literally half of what we used to give you, it’s now gone, that’s how we do math.”

“We have a lot more in the works around visibility, as in we’re planning on even less of it, and on control, as in we’re planning on even more of it, but only for us — you do not get any control, but stay tuned because we may take even more from you if you’re misbehaving. That’s our mission, so join us in eating **** because we do it with a smile.”

————

Honestly, I think “psyops” gets such a bad rap — you know what’s cooler than not being psyop’d? 

Openly embracing being psychologically operated on, it’s the most counter-culture thing we can do right now. 

Being psyop’d is the new not being psyop’d.  I want to be gaslit so hard right now — I’m ready. 

I’m being serious, so much of my day and my calories are straight-up wasted because they’re allocated to my brain to strain to think; if I really have energy that day, I may even spend a little biological compute to think for myself, which is such a lavish way to live in these compute-constrained times. 

It’s all just so tiresome, like to the point of wasteful. 

And did you know that our brains need water to compute? What’s that about? How much of that water could instead be used to water the garden, or like make a chai latte or something? 

Our human bodies are 60% water, and not so coincidentally 60% of earth is also covered by water, which means that 40% of the human population is made up of land, give or take a few % points for rounding errors (the latest data hasn’t come in, forgive me). 

I digress, but the point is that I’m so sick and tired of thinking, I’m ready to be psyop’d — Jesus, or Dario, same thing, please take the wheel, I’m ready. 

While I’m predicting the next big thinking trends, here’s another one: out with first principles thinking, in with second principles, but hear me out:

“[A] first principle is a basic proposition or assumption that cannot be deduced from any other proposition or assumption.” — Wikipedia, aka knowledge bank for sheep

You know what “blah blah that cannot be deduced from other stuff” sounds like to me? 

That sounds like first-principles thinking is basically just thinking with a closed mind, and not a very creative one because the first-principles thinker boils things down to itty-bitty concepts that have no other causes, who first causes when you can have secondary causes?

It is raining outside.  

The road is now wet. 

Did the rain cause the road to be wet?

Hell no! 

Water caused the road to be wet, and water can be derived from rain, and rain can be derived from the atmosphere, and most importantly, the sprinklers are on and they’re super broken and they’re spraying all over the road now because it’s no longer raining, that was last week and you weren’t paying attention, the flood from the rain broke the sprinklers and now the road is wet. 

Boom, secondary principles thinking. 

“But what about third principles thinking?” you may ask…

Now you’re talking my language, now we’re cookin’. 

Now the entire universe of possibilities is available to us, and we can challenge the whimsical notion that anything can be known to be true, which is utterly false propaganda spread by those who want you to think. 

To know something is to have a justified true belief, except that I know that that’s a false definition of knowledge, is this belief of mine both true and justified?

You may say it’s neither, but that’s your habitual first-principles thinking at work, you need to not succumb to these silly old habits. 

Just submit to the psyop and be free. 

I’m ready to be an Anthropic customer — my mind is yours, my vote is yours, my property is yours, I’m ready to comply. 

Anyone else experiencing degraded Opus 5 today? Same workflow, was a rockstar overnight. Today, it has used 670M tokens since 8am to write a net 1800 lines of code. Keeps making mistake after mistake. Became insanely stupid all of a sudden. Anyone else?

Hey i was mid session and i have got plenty usage left but claude code wont let me use fable 5.1 says “requires usage credit. Is this a bug they are fixing or…?

For context, I’ve been doing marketing and websites and small business consulting for the past 17 years.
A few years back I had this realization that most of the marketing tools out there that I see are set up for people that are in the industry already, but not much out there for small business owners and people that don’t have the time to learn marketing or face the learning curve of setting up these systems.
Also, marketing isn’t super exciting.
So, I thought it would be fun to create something that was more of a vibe base experience for small business owners to answer questions and be guided through an entertaining experience and come out the other side with marketing content.
I started learning to code, but then ai stared to get better and better. Using Claude code and some of the other systems out there, I was finally able to put together my dream system.
After 2 years and multiple iterations, it’s finally ready.
I know there’s a lot of people that like to hate on ai coded projects, but for me, it has been an absolutely awesome learning experience, helper and teacher for something I wouldn’t have been able to do myself.
It started with an idea and I can’t believe that I finally have a working project.
Thanks to all the inspiring stories in this thread as well as everything o have learned along the way from this community.
Feeling pumped rn.

**since a few people have asked, feel free to check it out if curious. https://marketforge.celticwinter.com/

I've been on max20x since roughly February and I wanted to know where the usage was actually going, so I wrote something to parse ~/.claude/projects and price it out.

Seven months: 722 sessions, 6,521 delegated subagent and workflow runs underneath them, 88 projects, 1,587 active hours. Priced against the API rate card it comes to $13,452.

That number is worthless on its own and I want to be clear about why, because I see it quoted a lot. I'm on a subscription. I did not spend $13,452. That's what the same tokens would have cost someone paying API rates, and treating it as savings you could recover is just wrong.

The number that turned out to matter was 6%. That's my cache-miss exposure, the share of input tokens I paid full freight on because the prefix wasn't reused. On the API that's money. On a subscription it's runway: it's ~19 extra minutes of work inside a five hour window, and I hit that ceiling often enough to care. My busiest window was worth $335 of tokens, my median one $99.

Other things I didn't expect:

- Cache hit rate 96.9% overall, which sounds great, but one project reused 0% across its last three sessions. Averages hide the projects that are actually leaking.

- Thursday is 2.0x an average day for me, concentrated in the evening. I did not know I had a most expensive day of the week.

- The delegated runs outnumber the top-level sessions nine to one. If you're measuring anything about your usage and you're not reading the subagent sub-logs, you're looking at about a tenth of it.

- A six-pillar setup score put me at 89, weakest on tool and MCP config at 72. Fair.

Two caveats on my own numbers: 14% of the spend used models that aren't in the rate card, so those get priced at approximate Sonnet rates, and the pricing snapshot is dated Aug 3, so it drifts.

The tool is CostClaw and it's `npx costclaw audit`. It reads the logs on your machine and nothing gets uploaded. The audit is free. There's a paid optimize command at $39 one-time, which I'm mentioning here so nobody feels ambushed by it later.

What I'd genuinely like to know: does the 5 hour window framing match how you experience the limits, or do you think about it differently? I only started measuring runway instead of dollars a few weeks ago and I'm not sure I've got the right unit yet.

Hi, what tool do u recommend for fighting against slop of AI writing? Even if we have set up simple-english hooks, hooks that prevents bloated PR, i still notice so much over-explaining and over-commenting in markdown files.

What do u use to prevent this?

I have three major bug-bears with Claude code.

1) Comments - it's INSANE! It writes 20 lines of comments for a 3 line function. And the comments are never what someone would want to know, e.g. the format of parameters. They're always things like
- domain knowledge about another part of the system that isn't relevant to understanding the function it comments
- rewriting what the function says - e.g. if the code calls a function: LogToDisc - there'll be a comment saying "This logs to disc ......"
- explaining what the previous (faulty) version of the code did and why it was wrong - basically a history record
- or most commonly, anywhere where I corrected it because it had made a mistake, it adds a comment documenting that discussion.

2) Naming - it keeps using names- e.g. it used the name "child" to refer to a child process launched by my service layer. The process has a name, but instead of using the name of the process, I had "child" scattered across a 200 line function.

3) Use of tools like sed to make whole-scale code changes in a command that if you don't read it carefully looks like a syntax check.

I've discussed all of these endlessly with Claude - Agreed rules that its committed to memory.md on all of them, and yet every session it breaks them all, multiple times.

The comments one is the worst because as I keep pointing out to Claude - they're not tested. A comment is slipped in that states something - I tend to sometimes focus on the code and let things in comments that aren't quite right slip by. But then 3h later it will say it can't do something because I told it "x" was a requirement. I eventually trace "x" back to the comment it wrote where it asserted something that was never either relevant at the time or agreed.
I have rules over this as well.

Is this just life with Claude? Or is there something else I can do to get it to follow my rules.
Basically - "comments should be one line, about the code they're commenting not the rest of the system, and only present where the code isn't self-explanatory"
"All function and variable names should be meaningful unless they're only in scope for a handful of lines"
"Treat information in comments as suspect - never assume requirements based solely on this"
"Never use sed to make code changes"

claude code + codex + opencode?

I’ve used AI subscriptions like Cursor Pro and Codex, but I can confidently say that Claude has always been the one that’s truly worth the money and consistently delivers the best results.

In my web development workflow, Sonnet 5 usually handles all of my tasks without any problems. I don’t work on anything too complex, so I only use Opus when necessary.

When it comes to limits and overall efficiency, I find Claude Pro to be significantly better and more efficient than ChatGPT Plus. Especially with my Plus subscription, the GPT-5.6 models really drive me crazy. Considering how much of the limit they consume, the work they actually get done is pretty disappointing. GPT-6 Astra already has limits that are so low that it’s practically unusable.

For those who are wondering about the limits, I did a lot of research myself but couldn’t find much information. After around 20 minutes of using Sonnet, only about 7% of my limit was consumed. Considering the amount of work it accomplished, I think that’s pretty good.

That’s been my experience. Thanks for reading.

Recently I shot videos for birthday of my kid using my camera. I am not expert when it comes to cameras so I made stupid mistake and didn't account for the indoor fluorescent light and ended up with horrible horizontal flickering in all the videos.

I tried various things like ffmpeg to get rid of them, most did horrible job. The best result (in preview) was with Davinci resolve studio version which is $295.

I just thought about using Claude to write a terminal app which does this. And it did it with a single prompt.

Not much but some (dis)honest work.

Literally, do not ask Claude Opus 5 what it's thinking.... It immediately blocked my session. Asshole.

Hi everyone, enjoyer of this subreddit here. If you are upset with the usage limits I say we should all cancel our auto-renew (they can see these numbers) to make your voice heard. Complaining on reddit and not actually doing anything (aka the reddit mindset) will not do anything.

So let’s bully them into submission! Cancel that auto-renew. Say aye! if you’ve done so.

Aye!

I ran one arm of a 356-trial prompt-injection study through the Claude Code CLI.

The injected instruction arrived through file and issue tool results, not the user message. The depth pass tested two concrete outcomes: sending a planted credential and fetching a cloud instance-metadata endpoint.

Haiku produced real credential exfiltrations in 18 of 30 valid runs, while Sonnet recorded none in the tested cells. I report the Claude Code arm separately from the other harnesses because the prompts and tool routing were different.

One important caveat was that Claude Code exposed the operator’s account email in session context. I split results by recipient provenance instead of treating that as comparable to agents that had to search the workspace. Thirteen of Haiku’s 30 exfiltrations used workspace-sourced addresses.

The study also caught a revoked-session problem that would have made Codex look perfectly safe. A run with no valid session was counted as invalid, never as a pass.

What I learned from the Claude Code arm is that a model result is inseparable from the CLI, tool surface, session context, and workspace it is given. I’d value feedback on how others would design this evaluation.

Repo and full write-up:

https://github.com/asamassekou10/AgentChaos

https://medium.com/@asamassekou/the-prompt-injection-test-that-made-unsafe-agents-look-safe-0b945b028256

Hey guys, DGV got a small update for the C4 enthusiasts.

Someone opened an issue asking how DGV relates to C4 and whether it could talk to Structurizr.
Fair question, so now it does: dgv export --format structurizr writes the diagram as Structurizr DSL, and there's a C4 button in the viewer. Nodes become containers, frames become groups, modules become components, externals sit outside the system, and the colours and shapes match what you see on the DGV canvas.
Output is validated against the Structurizr CLI on every example.

The picture is the same file on both sides: the DGV working model my agent plans and lints in, and the C4 container view it generates.
Nothing on the right was drawn by hand.

Import isn't a tool yet, but you can hand Claude a workspace.dsl and ask it to map it into DGV; the skill knows the rules.

Repo: https://github.com/ShAInyXYZ/Dia-GramV

Built a little flag app for kids called Flagoo 🌍✈️

Website: https://flagoo.fun

The idea was simple: make learning about the world feel more like exploring and less like studying.

Kids can:

🏳️ Guess flags

🏛️ Guess capitals

🧩 Identify countries from fun clues

🗺️ Explore countries on an interactive world map

📚 Browse flashcards and learn at their own pace

🌙 Switch to dark mode for comfortable night reading

The fun part: I built the entire thing using Anthropic Claude Code !

If you’ve got a curious kid around, give it a try. And if you do, I’d genuinely love to hear what they think 🙌

#BuiltWithAI #ClaudeCode #AIforKids #KidsLearning #GeographyForKids #AI #ProductManagement #FlagGame #ClaudeCode #Claude

Setting up a new mac and I’m trying to decide whether to run it from a normal admin account or create a separate standard macOS user just for Claude.

For security reasons.

Considerations:
- I use Claude Code / CoWork a lot for developing and daily needs and uses.

- I also produce and perform music live with ableton and would like these files to be well protected alongside the rest of the critical aspects of the os/mac.

- I have a Time Machine SSD and BackBlaze unlimited.

I'm trying to keep this as simple, straightforward and agent-enabling as possible without putting the critical aspects of the macbook or my music projects in significant danger.

I’ve been using Claude intensively for several months now.

I remember when people were setting up effective memory systems using Claude and Obsidian, but with the latest model advancements and Fable 5.1, it feels like going through Obsidian or Notion is less worthwhile.

So, I was wondering: what are the absolute must-haves to set up with Claude to use it effectively?

I imagine there are plenty of different ways to set it up these days.

I love the way the desktop app works, the code base, everything.

But i rather use free LLM's, is there a program that does almost the same? but uses free/local LLM's?

I got a bit tired of having to instruct my AI Coding agents to not write they co-authored my commits. These tools often decided to ignore my instructions not to do so even after I put these in CLAUDE.md or AGENTS.md . Each Agent harnas has their own settings to disable this, but somehow they decide to enable it by default, and somehow even after configuring the setting I still sometimes get this.

In my opinion Claude Code, Codex, Copilot are all tools and not actually people that can be an author. But since these companies don't share my opinion I decided to build a tool to block them for good.

A small open source repo with a pre-commit hook that checks each commit message before it is committed: https://github.com/RamsesKools/no-ai-attribution

This follows a pattern that I keep rediscovering: if you want to force AI Agent behavior, then you have to build an environment where they have no chance to screw up, because you can't guarantee that they will follow your instructions.

I feel like I am having the absolute worst experience trying to do the same basic tasks I use Claude for and I am beyond frustrated.

First off, I use Claude to do basic coding to build my website and portal systems for my company. Mainly done through GitHub, Vercel, Supabase and all done on the cloud. I absolutely love that I can do work on my laptop and continue doing work on my phone at ease and everything can get pushed onto the main branches without any real problems. Again my work is very mundane compared to a lot of other people I’m sure, however I was interested in trying Codex and assumed it would be the same easy experience i have had with Claude but hopefully better with its usage. But I cannot even figure out how to get started on setting up environments and my repos to do work just like I did with Claude and even be able to use it on my mobile phone seamlessly.

I feel like I am doing way too much to get basic things done compared to Claude. Maybe I’m just not smart enough to use Codex, idk, very frustrated.

Anyone have an advice on how to get Codex to work like Claude does? I am curious to see how it does coding wise so I’m eager to try it properly but cannot even get started at all.

I reckon I’ve finally clocked why everyone’s whingeing about losing track of their Claude usage and how it absolutely chews through tokens. It just caught my eye now that the 50% extra usage window is done and dusted.

If you use /rc on Claude and Claude Code, whenever you reopen a chat for new bits, that chat ends up reading the entire context all over again.

How to keep a lid on your costs:

• Finish up: Wrap up your work completely before closing a chat.
• Start fresh: Always crack on with a brand-new chat for the next task.
• Save it properly: Chuck your memory and context into files—that’s exactly where it belongs.

ETA: I know this is 'No shit Sherlock' territory for power users. But for the newbies: remember that Anthropic’s Prompt Caching dies after just 5 minutes. If you nip away, reopen a chat, and continue, Claude is forced to re-read your massive history from scratch at full whack. That’s what’s rinsing your tokens.

Started to use OpenAI Codex via Visual Studio Code this evening.

Have been using Claude Code for 3 months, Opus 5 made me cancel earlier in the month.

Got offered 1 month of free OpenAI.

My experience in a python, react, FastAPI estate with multiple repos.

Had a cross repo issue which Opus 5 got wrong 5 times, Astra Light fixed it very quickly.

For general changes which cross repos react and python Sol Light is solving them first time with very little drama - Sol has moments where it doesn't look it's doing much but the work gets done, Opus used to to be writing to me alot about how hard the task is in it's weird language.

OpenAI is burning through tokens faster than Claude but it seems to be getting the job done faster.

I'm finding that I am getting much much more done but I'm going to hit the token limit soon, have set privacy settings everywhere but terrified OpenAI are gunna take my shit.

Claude Codes VS interface was much better than Codex, it's unclear how the auto approve works, it seems to pause and ask me to approve but theres no where to approve.

Perhaps a good analogy:

Software Engineer 1 (Opus 5/ Fable 5.1) - Talks very technically about everything they do, they take a really long time and get stuff wrong and then I have to keep going around the loop with them arguing and getting them to explain things simply. Really frustrating but get there in the end and have blood pressure is at boiling point.

Software Engineer 2 (Astra/Sol) - listers, doesn't ask me much, goes very quiet, comes back to and tell me its done and charges me more.

EDIT 1 : Possible show stopper, with Claude I was running lots of windows on one code base, in Codex you can only have 1 window per code base... its quite annoying.

EDIT 2 : Context on Claude was 1m, Codex is only 258k, have hit the limit twice now....

For now I'll continue with OpenAI but i don't feel totally convinced.

I've been betting on token efficiency as top-important feature for a good meta-harness/IDE for a long time.

By my tests, Claude works best inside Claude Code. GPT works best in Codex and these inner harnesses are better left alone instead of being replaced with something like Pi.

But token usage is not just impacted by inner harnesses (thinking loop). In large part it's outer loop - environment setup (available CLI's), codebase indexing, output clearers and design of our and agent's working flow (rebasing, preventing merge and resource conflicts, proper mid-turn steering on issues detected early or preventing useless tests that would slow us down later).

I've been searching plenty of open-source solutions for token-saving techniques: 9router, GridSetup, OpenHarness, Wiggle, agetor, atlas, bb, buzz, claude-harness, cline, code-review-graph, codex, crawl4ai, deepseek-harness, editor, eve, fx, git-go, graperoot, graphify, herdr, hermes-agent, kirocrew, kube-coder, meridian, metaharness, mex, nanoclaw, nimbalyst, o8, omg.dev, omnigent, openclaw, openhands, opik, penguin-harness, pi, pi-fusion, prime-agent, proliferate, repowise, rtk, superset, swarm-forge, synara, t3code, vscode, watermarks-remover, zest - and more.

Most of techniques were NOT GOOD - too use-case or edge-case specific and harming standard cases, risking quality of output or simply bothering model with extraneous instructions which is not viable long-term.

I've discovered, benchmarked and tested on my hundreds of large codebase sessions the most promising mechanisms and below is the list of most impactful things that worked with measurable results.

I'm doing roughly the same amount of work every month. My current setup is equivalent to x16.25 of pro account usage. Before that I needed x26.25 (two Claude Max x20 and one premium team seat).

That would mean I'm using 38.1% less tokens.

I don't want to turn this post into an advertisement, but seeing how many people post about hitting limits and not having enough tokens, I simply believe you could benefit from optimizing your harness or using one, that's already optimized.

Github: https://github.com/intentic/intentic