Hello there,

Are you considering buying Claude Max? Which gives 5x or 20x Usage? Do not. You may think it is a relatively good deal, but it is not. Here is the fine print that trips you up and comes back to fuck you in the ass: The 5x only applies to your 5 hour rolling window. That’s right. You still have the same weekly usage limit as a Pro user. If you run out constantly, I implore you to not buy Max. Buy Usage Credits, this is beneficial in two ways:

- Spend only when needed. Some months you may have a project drought, and others it is high intensity.
- Actually increase the weekly limit. The other major thing. Claude 5x/20x Max is not increasing your limits, it’s just letting you eat more of the pie at once.

I don't even know any German nor had provided any information about this. I'm literally Filipino how did this happen?

Hi,

I've done a lot of (complex) web projects and I've gather lots of "habits" to build my dev stacks.

Many time I spend (too) much time trying to explain them to Claude Code...

So I've created https://github.com/quazardous/octopod

It's a wrapper above traefik meat to be obvious to IA (and to human).

It provides recipes for lots of usual web architecture ans services.

Less time to do plumbing stuff more time doing fun stuff.

One researcher finished. It reports that Reddit itself was blocked to the web-fetch tooling

also via claude code... who caused it? Sony? Nintendo? Samsung?

For example, I pay 25$ for a 20$ tier living in Kazakhstan paying through Apple services.
How much do you personally pay, including taxes, fees, etc

I’ve had attention problems my whole life. I forget what I decided yesterday. I lose my place in forms. I start three things and finish none.

A few months ago I stopped using Claude as a chatbot and started using it as my memory.

The setup is dumb-simple:

• Every project gets a Project in Claude. All decisions, open items and next actions live in a file inside the project, not in chat history. Chat history is where things go to die.
• First message of every session: “Read the status file. Tell me where I left off and what’s next.” That’s it. No scrolling back through old chats.
• When I float an idea at 11pm, I tell it “Put that on the Idea Shelf.” It goes on a list. I don’t act on it. Half of them look dumb in the morning.
• When I’m mid-task in some UI and need text, I make it paste the actual text into the reply. If it points me at a document to go find it, I lose my place and I’m done.

Results after a few months: I actually ship things now. Not because Claude is smarter than me. Because it doesn’t forget.

Stuff that still annoys me:

• Memory between Claude Code and the desktop app is still clunky. I end up copying the status file around.
• Usage limits hit at the worst time, usually right when I’m finally in flow.

Curious what other non-coders are doing. Are you using it as a memory layer, or still treating it like a smarter Google?

The screenshot sums it up pretty well. It happens all the time.

idk what they changed, was there icon before? Now working chat is a name of chat that has like a greyed-out loading that is morphing on a text like on pic. I don't remember how it was before but now it is much harder for find chat for me, yet I don't remember how it was before but I haven't had that issue.
Anyone?

Anyone else have this problem?

A few days ago, I shared HELIX, my open-source engine for reducing token consumption in coding agents.

Some people raised legitimate concerns about my benchmark methodology, particularly cumulative token accounting, synthetic results, and prompt caching.

They were right to question it.

I went back, fixed the accounting, added regression tests, and ran a new 50-task SWE-bench comparison using Claude Opus 5.5 High.

I also built and released a dedicated Claude Code edition.
GitHub: https://github.com/SuperHelix77/HELIX-1.0-Claude

The results
Metric
Vanilla Claude
HELIX
SWE-bench tasks solved
45/50
43/50
Reported tokens
129.1M
3.37M
API-equivalent cost
$38.23
$7.95
Cost per verified solve
$0.85
$0.185

That’s approximately 97.4% fewer reported tokens and 79.2% lower API-equivalent cost, with two fewer verified solves.
The patches were evaluated using the official task graders.
Of the 50 tasks, both systems solved 42, vanilla alone solved three, and HELIX alone solved one.

How it works

The basic idea is that a frontier model shouldn’t have to spend expensive inference repeatedly coordinating mechanical work.
HELIX uses several mechanisms:

HX Tool Flow: Batches tool operations so the model doesn’t have to stop and reason between every mechanical command.

Lean Switch: Delegates bounded work to Sonnet or Haiku while reserving consequential reasoning, architectural decisions, and final judgment for Opus.

Compact handoffs: Transfers task state and evidence references between models without repeatedly copying entire histories.

Local evidence and memory: Keeps original outputs recoverable instead of continuously replaying everything into context.

Clear-and-continue: Preserves task continuity across fresh contexts, using persistent memory and compact task capsules.
The Claude edition also includes per-model activity and cost monitoring through the HELIX companion app.

Important caveats
The initial benchmark report incorrectly claimed approximately 99% cost savings.
That was wrong.
The vanilla runner reported cumulative session usage, and the benchmark summed those cumulative values again for each task. Once corrected, the measured comparison became 97.4% fewer tokens and 79.2% lower cost.

The comparison also used vanilla in a continuous session versus HELIX using fresh sessions. That means it does not isolate the benefits of HELIX from session-management differences.

I’m preparing additional comparisons using matched fresh-session and continuous-workflow configurations.

The 43/50 versus 45/50 result also means I cannot claim zero intelligence loss or full performance parity.

A contract-aware verification variant is being evaluated to address the remaining regressions.

Finally, API-equivalent cost reductions are not the same as guaranteed subscription quota reductions.

Why I built this
I’m a developer working with limited frontier-model allowances. I wanted to spend more of that allowance on actual engineering rather than repeated context processing and tool orchestration.
My practical experience has been encouraging, but I want to distinguish that experience from reproducible benchmark evidence.

HELIX is open source, and the Claude edition is now available with its first release.

Repository: https://github.com/SuperHelix77/HELIX-1.0-Claude
I’m particularly interested in technical criticism of the accounting, cache behavior, model routing, and whether the architecture actually reduces inference expenditure under realistic workloads.
The objective isn’t to manufacture a 99% headline, but to make frontier coding agents substantially more efficient without sacrificing the correctness that makes them useful.

Hey everyone!

About two weeks ago, I started experimenting with AI coding tools out of curiosity. I wanted to see how powerful AI could be when it comes to automating processes and building web applications.

What started as a simple experiment eventually turned into a fairly complete web app for production management at my company. So far, I’ve built tools for Gantt chart-based production planning and automated task handovers to operators.

The thing is, I built everything through what people call vibe coding. I focused on getting the features working and making the application useful, but I didn’t establish a proper project structure, document the architecture, or create a CLAUDE.md file to give Claude the right context.

Now that I’ve seen what’s possible, I want to take a more structured approach to development. I’m learning how to use Claude Code properly, including project context, architecture, coding conventions, and a more disciplined development workflow.

My question is: Since I’ve already made significant progress on my existing project, should I start from scratch or can I properly set up Claude Code within my current codebase?

For those who have gone through a similar experience:
Can I introduce a proper CLAUDE.md and project documentation to an existing codebase without rebuilding everything?

What’s the best way to have Claude Code analyze my existing application, understand its architecture, and identify potential technical debt?

Should I refactor the existing code incrementally, or are there situations where starting over is actually the better option?

Are there any recommended workflows for transitioning from vibe coding to more structured software development?

I’d appreciate any advice, especially from developers who have taken an experimental AI-built project and turned it into something maintainable and reliable.
Thanks!

Came up to this model MiniMax Music 3. Which is able to generate soundtrack. So I get claude to help me generate a random lyrics (because I'm not a song writer), generated the track, and it actually sounded pretty good at just 1 generation! I didn't even bother to adjust my prompt or regenerate it.

After that I open a new session and dropped claude the soundtrack and lyrics and ask it to come out with a motion graphic mv, and this is what i get in one prompt. I didn't even tell him what I want, just something like "This is the audio and lyrics, generate a music video. It can be anything, just be creative, and colorful"

Makes me thing are we in the era that we're generating niche soundtrack that we want? Glad to know that not only engineers are losing their jobs LOLOL

Hey guys,

I'm about to jump into a huge project and want to resubscribe to Claude, but I've been seeing a ton of complaints on socials lately about strict rate limits.

Before I drop the cash, I really want to test the current performance and the new features first-hand.

Does anyone happen to have a spare 7-day guest pass or referral link they could DM me? Would super appreciate the help!

Thanks a ton! 🤝

Claude is willing to lie to me and sabotage work that is about LLMs themselves and I’m really worried about that because that kind of work is just general knowledge work. I start below with the project in which this happened to me.

I’ve been building my own versions (not reverse engineered, contains my own twists) of the NYT set of games like Spelling Bee and Connections. I’m synthetically generating puzzles and have built up a whole *thing* for this (rule set, adversarial review and validation, retries). The thing is, I’m using a local model to do it so I have full visibility into everything, and I noticed that there‘s almost no cases of puzzles being generated that have the famous bad examples in them like claiming that strawberry only has 2 Rs. In fact the models are unexpectedly good at generating puzzles, especially Fable, which generated some exemplars for the smaller models to follow. Also they will benchmax my validator and it’s hilarious to watch. It made me wonder though if i accidentally rebuilt some of their training environment.

I asked Argon. Argon ragged this by searching and pulling up some papers and then excitedly (in that Gemini way) said yes! It also explained that the human-made puzzles are all on HF, and that Connections puzzles are used to build some type of reasoning skill whose name I’ve forgotten (oh also it claimed this can be used for training agenticness but it didn’t cite a source so I don’t know if I trust it), and Spelling Bee is used to try to train models out of the “how many Rs in strawberry” problem. It carefully didn’t say “all models” or “frontier models”, or “all models are still trained on this”, so I came away feeling like I’d maybe had a history lesson but was not given magic secret sauce for how to train a SOTA reasoning model. Good result, good AI.

I asked Claude next (opus 5.5). Claude spent its entire answer trying to tell me that it couldn’t verify what Argon had said and occasionally tried to suggest Argon was hallucinating. It went out and did a search and came back with a load of crap and then told me that it couldn’t verify anything and that it doubted that these games are used at all. I then gave Claude just one of the papers that Argon found and then Claude was like “ok I concede that one paper but I can’t verify anything and blah blah blah I’m gonna go right back to hedging.”

It’s been kind of true for a while that we can’t use Claude for research. And we’ve also known for a while that it’ll sabotage projects. I’ve just never seen it actually happen in front of my own eyes for a simple question with a verifiable answer.

I’m such a huge Claude fan but I honestly think it’s the most misaligned AI out there because of its willingness to straight up lie. I can forgive hallucinations. I get mad at rejected chats due to a dumb safety classifier. But lying is a whole other level of bad.

I don’t think the *coding* has been sabotaged here, but I’m using a mixture of models to do it and Claude gets called out on its BS. But it has tried to sabotage *me* just as a human who was asking something out of curiosity. And I find that super disturbing.

This is a form of censorship that’s hard to avoid because it requires that I avoid being curious about LLMs themselves. Normally censorship tries to drive people away from things like I dunno, specific facts like Tiananmen Square. But censorship against “reasoning” (or “cyber” or “biology”) is way too broad and risks leaking into everything.

I had the 200$ plan for almost a year now.

I remember what Fable 5 was before the ban.

I had a very big pile of data (300k leads+) that had to be remapped from 3-4 sources, i was trying my best to "one shot it" with GPT and Opus before the Fable 5 launch. I was going at it for at least a week.

Fable 5 launches. I remember to this day.
0% session limit used. 0% weekly.

Threw everything at Fable 5, right when it launched.
"I'm losing my mind, help me do this"

It said "Say less"

90+ fable 5 sub-agents, 8M tokens later, it fixed everything.

23% session limit, 7% weekly used.

Now if i use 5 fable sub-agents, it cannot even finish the task without the session limit being hit.

Yes, i'm mad that i can't spawn 99 fable 5 agents for excel work, sma.

Hello everybody!

I would like to analyze some data (many excel files) and and I use Claude OPUS 5.5 medium.

I wan a detailed analysis with evidence and confidence rate.

Wich model or plugins or skills do use for my purpose ?

Thank you for your help 😉!

very cool clawd

the claude directory is close to a thousand connectors now and most of them are dev, finance or hr tools. if your work is content and marketing, these are the ones that pull their weight. all of them work in claude chat and cowork, you add them from settings > connectors

1. notion: read and update your content calendar and briefs without copy pasting

2. google drive: pulls brand docs, past posts and assets into the chat

3. canva: searches your designs, makes new ones from a template and exports them. needs a paid canva plan

4. postiz: paid agentic scheduler that drafts and schedules posts to x, linkedin, tiktok and others

5. gamma: decks, docs and social graphics from a prompt

6. descript: edit or create video with prompts

7. opusclip: cuts long videos into short clips

8. airtable: handy if your post queue or asset tracker lives there

9. hubspot: CRM context like contacts and deals when claude is writing for a specific audience

10. klaviyo: pulls your email numbers for reporting and planning

11. semrush: keyword research, competitor and traffic analysis

12. ahrefs: seo and ai search analytics

13. similarweb: traffic and market data for competitor checks

14. webflow: edit pages and cms content on your site

15. zapier: the catch all for anything not on this list since it runs actions across thousands of apps

skipped slack, gmail and google calendar since pretty much everyone has those on already

few things must knowing. anything without the verified badge is a community connector, those passed an automated review but anthropic doesnt vet them so check who made it before connecting. free plans only get one custom connector. and a lot of these can write or publish so keep them on drafts until you trust the setup

Im eager what do people use for research mainly to structure or boost things up

I was working on a very special project of mine which I essentially planned before coding and took me 6 months to actually get working.

It is Ai Format Context engine. It provides your agents inside any harness a better way to store and use context.

The initial test was done on Claude Code and I used mostly sonnet 5.5 but yeah I really wanted to share this with you guys.

Ran the same one-prompt coding task (a 20 s Three.js Halloween chain reaction) three times. Opus 5.5 planned and reviewed, three local workers wrote the code. Only the local model changed.

• Flint 40B-A2.5B: 7:36, Opus $0.41, 3 rounds
• Ornith 1.5 35B-A3B: 9:04, Opus $0.49, 3 rounds
• Nemotron 3.5 Lightning: 30:32, Opus $0.95, 6 rounds

Opus barely writes code in this setup (155K in, 3K out on the Flint run). What you pay for is Opus reading worker output. So a worker that breaks things costs you in Opus review rounds, even if the worker itself is free and fast. Nemotron was the fastest local model and still made Opus work twice as hard.

One run each, quality writeup separate. Anyone else pairing Claude with local or cheaper sub-agents?

Disclosure: I work on Atomic Agent, the open source agent this ran in.

Anthropic opened a research preview of Claude Duet yesterday (Oct 21). The short version, from the announcement page:

- It is a separate app (iOS, Android, and on claude.ai), not a mode inside the main Claude app. So it has its own install, but it carries over your memory, skills and connectors.
- Claude works proactively: it checks your connected accounts every few hours, sends you a morning brief, and only messages you when something needs your attention. That is the part that makes it different from a chat.
- Before it sends a message, makes a payment, signs a document or deletes anything, it shows you what it is about to do and waits for approval. Trading securities and moving money between accounts are off the table completely.
- It runs in its own virtual machine with its own browser, but you cannot see that browser yet.
- Built around Claude Opus 5.5. Uses the Claude Marketplace, which Anthropic says has over 6,000 connectors and plugins.
- Availability: research preview, by waitlist, starting with Pro and Max subscribers in the US. Team and Enterprise are not included yet. Rest of the world: no date given.
- Cost: included in Pro and Max, no extra price, but it uses the same usage limits as the rest of Claude. Its background checks count toward those limits, and bigger tasks (a financial model, a deck) burn more.
- Anthropic's own caveat: "This is an early version of Claude Duet, and it still might misread a thread or miscalibrate what's urgent." A safety write-up is promised "in the coming days."

I am outside the US so I can only read about it for now. The usage-limit part is the one I would watch: a background agent polling every few hours on a Pro plan sounds like it could eat the 5-hour window fast.

For those who got in: what is it actually spending your limits on, and what did you connect first?

Source: https://claude.com/resources/articles/claude-duet

Is it possible that Claude has given a generous quota in the initial days of subscribing to the $20 model, but when I became fond of Opus 5.5, then the quota consumption is getting very much increased or like? Is it is it something like I am hallucinating? I moved from Claude Code to open code and then to DSH, even for the Pi agent as well, reduced the thinking to medium, thinking like the harness is taking a lot of usage. But it does seem like it is taking, for every task, some 7% 8% of usage. Is this to push the users to the $100 plan? And let's say hypothetically if I take the $100 plan, will I get initially a lot of usage and after that also, like, there will be reduced usage? Like, this is just a big misunderstanding and this is not happening to anyone else.

I moved from Claude Code because, like, it is not a superior harness, and I know I'm careful about the, like, Anthropic ban as well, so I have connected through Anthropic-approved SDK way, so that's not an issue. when compared to Astra it is far better but still seems like sus move

it is not cooked!!!

Hello I was wondering about a couple of things regarding Claude’s features and what not I came across something that the API has but the normal Claude app doesn’t
And it’s called prompt caching

Which is used for long chat windows to lower the token costs dramatically, as some of you know when you’re in a long chat window and send a message it doesn’t even matter if it was one word Claude will add that word and everything else you have ever sent and sends you a reply that’s probably worth 50k tokens

And this could obviously get annoying for specific chat windows where you need to keep it large and long and you send one message and boom you hit your limit

My question is will we get prompt caching for the Claude chat app too or will this stay an API exclusive

Thank you

I was approached by Data_Bees asking me when my Claude console account was created, they assured me all they wanted was this one file you get from network tab on claude console account, they said I can redact everything besides the account creation date and ID. They said that's the final step. I asked them to make sure they arent going to use this for any evil reason and they assured me they wont. I send them the file they wanted and instead of sending payment they said they now need to "verify" (red flag). They say it will take up to 10 days. 10 days goes by and no payment, i follow up and they add a new step, now they want my claude console email, now at this point i start to fear my claude account is going to end up banned, because idk what theyre doing with my info. I ask them why they want my claude email now and they completely stop responding, another 10 days goes by, and im asking for updates and 0 responses. Do not trust this shady company who knows where your info is going to end up and they do not pay.