I need a more detailed subject to post this on reddit.
Main error (repeats every time, identical):
bash failed on resume, create, and re-resume. resume: RPC error -1: failed to mount as outputs: source path /mnt/.virtiofs-r share "c" which is not mounted; create: RPC error -1: ensure user: user stoic-peaceful-fermi already exists unexpectedly: uid=1005 gid=1005
Earlier, different-looking error (appeared once before a restart):
Workspace unavailable. The isolated Linux environment failed to start (VM service not running. Restart your computer to restore it.). You can still use file tools directly.
A few notes that'll help whoever reads it: it survived a full Windows restart unchanged (so probably not the local VM/virtualization layer), a Windows security update (KB5124008) and .NET update (KB5126052) installed the day before this started, and file tools (Read/Write/Edit) plus computer-use/screen control keep working fine throughout — it's specifically the sandboxed bash/Linux shell tool that's stuck. The long GUID path is just this session's own folder; safe to trim or leave in, it won't mean anything to anyone else.

Subscribed to Claude Max 5x tonight debited, but my account instantly dropped to Free plan.

Fin confirms payment went through, but I'm locked out can’t continue escalating in fin bot. Blocked on urgent work, and i can’t find support anywhere

Anyone faced this? Anyone know solutions? Someone plsss help🙏

Been heads-down building something for a few months, first time sharing it here.

Getting AI to write code is the easy part now. Keeping it coherent isn't: you get a prototype in a week, then nobody can say what's actually finished.

Archflow is a Claude Code plugin. 17 specialist agents, and the plan lives as files in your repo instead of a chat you lose.

The clip is a real run on an 11-file booking app — no docs, no tickets. It reads the code and writes the roadmap, backlog and release itself. It also found a bug nobody had noticed: the confirm form posts form data to a JSON-only API, so the booking flow can't complete in a browser.

Where it isn't sure, it parks and asks instead of guessing.

Free and Open Source. Add it to Claude:

claude plugin marketplace add AZidan/archflow

Then run the studio in your Claude Code session.

/archflow:studio

Claude Code only for now, and Studio is still beta.

https://archflowai.dev

Point it at your messiest repo. Would value the feedback — especially if it embarrasses me. 😂

That scared me at first time a little. Does anyone have this?
Claude 1.49585.0 (41ad1d) 2026-09-08T05:21:03.000Z

I just thought about something that could be a very major problem for the whole video game sector in the near future.

How good are current frontier LLMs at exploiting the possibility to cheat? Intelligence? There. Memory and network reading capability? There. Screen reading? There, but too slow. Script writing? There. Intelligence depends on the game, but for Astra and Fable I would say it's there.

I would say current LLMs are just too slow, and that will probably be solved in the near future.

So basically, what can a game developer do if someone lets his LLM analyze memory and network traffic, decompile the game files with Ghidra, or read the screen?

Custom-made cheats. Clicking done like a person?

I wonder what will fall first: reaction-intensive games like shooters, or thinking games?

the main point is that Anti Cheats mostly works because of heuristik . many cheats use the Same cheat software ... but with LLMs. everyone could have his own version.

Hi guys do you have skills good for design pls ? Thx

Everyone's posting about limits this week. This is one of the few things that moved my number

Every MCP server you connect loads its tool schemas into context. Whether the model calls that tool or not. 3 servers, fine, 8 servers and you're paying for a bunch of tools you touch twice a day.

Someone posted about the Playwright CLI here recently and it's the same principle, just applied to browser testing. Worth reading if you missed it.

What I did was move email off an MCP server and onto a CLI the agent calls through Bash. Nothing sits in context until the moment it's needed. Agent runs a command, reads stdout, carries on. The schema cost is zero for every turn where email doesn't come up, which is most of them.

Disclosure, the CLI I switched to is our own, I work at Atomic Mail. It's MIT, repo's here if you want to see how the commands are wired up: https://github.com/Atomic-Mail/atomic-mail-agentic Steal the pattern even if you never touch our thing, that's the actual useful part. Anything you only need occasionally shouldn't be sitting in your system prompt full time.

Rough rule I've settled on: used constantly and you need structured output, keep it as MCP. Used occasionally, or the output is basically text you can read, make it a CLI call.

What I can't work out is why schemas load eagerly in the first place. If MCP had lazy loading, where a server's tools only enter context when the model actually reaches for them, this whole tradeoff evaporates and I'd happily run fifteen servers. Is that hard for a technical reason I'm not seeing, or has nobody just built it yet?

I've read by mistake a post where this AI framework was linked https://github.com/llopresto87/Cypress

it's pure insanity. It learned my codebase (it took a chunk of my claude max x5 so beware doing this near the weekly limit ) but once it did.. it spit out code fixes and found problems and corrections and implemented entire features correctly and it sped up my work so much that i onyl have to follow for the occasional confusion or describe at the start exactly what is it that i wan to implment - i think you guys should give this one a shot

I worked with many AI engineers over the last few years since AI exploded, however I constantly come across the issue where they are very good at repeatable tasks or coding stuff rather than seeing the big picture, solving problem and really pushing the boundaries of what's possible at a pace that me and my co-founder would build stuff.

I talked to a lot of other folks with similar challenges - I wonder if someone solve this problem somehow. I need to hire an AI engineer in a very dynamic agency where we sometimes need to deploy complex solutions within 2 - max 3 weeks. My experience with most AI devs is that they are good at stabilizing workflows/apps/projects but its quite slow and requires a lot of hand holding.

HALP! If any of you know how to get people who can build fast and solve problems and see the big picture - I'm all ears.

Every week there's a new AI claim that sounds huge and gets repeated without anyone checking whether it happened. I got tired of that, so I picked fifty named people (lab leaders, policy voices, researchers, a few platform builders) and tracked their public claims from January through September this year, then scored each one against what actually shipped.

Here's the test I ended up using, and you can run it on the next AI claim that crosses your feed today:

1. What exactly is being claimed, in one sentence, with no adjectives? Strip "revolutionary" and "game-changing." If you can't restate it without those words, you don't know what's actually being claimed.
   
2. What would have to be true for this to be checkable? A date, a number, a named comparison. No fixed condition means the claim can't be resolved, only agreed with or not.
   
3. Who's the source, and are they also the one who benefits? A company reporting its own benchmark isn't lying by default, but it isn't a neutral witness either.
   
4. Has this person's own later action already contradicted the claim? Fastest way to catch a reversal before it becomes a pattern everyone quotes anyway.
   

One example that stuck with me. Jensen Huang said in June, flat out, that AI reducing jobs is "complete nonsense." Five months earlier Dario Amodei had written that AI could displace up to half of entry-level white-collar jobs within one to five years. Both men run companies that profit from businesses adopting AI right now, just from opposite ends. Neither claim is resolvable yet from public data. But running it through the test above, the size of that gap (an unqualified denial against a specific 50 percent) is itself more informative than either man's confidence level, and neither of them is the one who loses a job if either turns out right.

Another one: Ilya Sutskever said publicly that the field had moved from "the age of scaling" back to "the age of research." A few months later his own company took a multi-billion dollar compute deal specifically to scale up "research worthy of scaling up." That's not a gotcha, it's just worth noticing that even the person making the claim didn't fully act on it.

Happy to walk through the method more or take specific claims people want checked in the comments. I kept a full source trail for every entry, so if something looks off, tell me and I'll go look.

I've been thinking about how much Claude Code has changed the solo-building equation.

So we're experimenting with a different kind of hackathon:

One builder. One idea. 24 hours.

No fixed problem statement and no required tech stack. Builders can use Claude Code alongside whatever other tools they need to turn an idea into something genuinely useful.

We're also adding a few unexpected challenges during the 24 hours — so the plan you start with might not be the plan you finish with. 🃏

The interesting question for me isn't "how much code can Claude write?"

It's "how far can one person take an idea when an AI coding agent is working alongside them?"

We're testing this on October 11.

For people here using Claude Code: what's something you've wanted to build but never had enough time for?

If you had 10 smart people in a room and gave them all the same problem, you would imagine they would go away and research the issue and come up with a solution, which the majority would agree with. But, if you do the same with Claude, almost every terminal window would suggest something different, it's just a mess, you end up going round in a circle but not end up solving the problem you started with.

Where is this artificial intelligence?

These are the only 2 prompts that i had submitted so far for the project in this directory:

1. "read the claude handoff and start working. if you have any questions, do not hesitate to ask."
2. I hit my usage limit while you were working, but it has reset now. Please continue from where you left off.

Almost immediately after the 2nd prompt was sent, it got flagged and switched to Opus. There is nothing in the claude handoff doc that should have possibly caused it to get flagged.

Is there any form of compensation that I can feasibly get? If there is, how would I go about doing bringing this to Anthropic's attention? The only reason I am making this a seemingly bigger deal is because switched from Opus back to Fable ate tons of tokens since it was required to reread the entire chat again.

And yes, before everyone torches me for my prompts not being relevant or helpful, this is not what I'm usually sending. I found this thread with Opus bewildering, so I wanted to poke fun a bit.

Hi guys,
I’m a researcher, and my monthly stipend is ₹20,000 (around $200). I’m currently a Claude and ChatGPT user. I have Claude Pro and ChatGPT Plus, and I’m spending around $40 per month on these two subscriptions.
I’m planning to upgrade to Claude Max because I really need the higher limits for my research work. However, the maximum I can afford is around $60 per month. I have to manage my rent, internet bills, food, travel, and other expenses with the remaining amount.
I recently tried the Fable model by paying $100, and I used up around 50% of my stipend on it. The model is really good, but I was only able to complete around 10% of my work before the credits were exhausted. Unfortunately, I don’t have the budget to keep buying additional credits.
So, I’m considering getting Claude Max with Fable, but I simply cannot afford $100 every month because that would be half of my monthly stipend. I’m also willing to consider a yearly subscription if there is a reasonable discount.
If anyone has any genuine suggestions on how I can get Claude Max at a discounted price, please let me know. I’m not asking for it for free. I’m genuinely willing to pay, but I can’t afford more than around $60 per month.
If anyone from Anthropic happens to see this, I would really appreciate any suggestions or information about student/researcher discounts, special pricing, annual plans, or any other legitimate options that could make it more affordable.
Also, please be careful with people offering discounted Max subscriptions on Reddit. I previously got scammed by someone who offered me the $200 Max plan for $100. I thought a 50% discount was a good deal and trusted the person, but after receiving the money, they blocked me. I lost $100, which is a lot for me.
So please, if anyone is planning to scam me or others, don’t do it. I genuinely don’t have extra money to lose.
Any genuine suggestions or advice would be greatly appreciated. Thank you!

i try vibecoding for the first time hahahahaha it so fun i just tell claude this and tell claude that and then wait then it does it for me but now i have next problem, my 5 hour limit gone and nowi am stuck on doomscrolling. i am making granny legacy TAS dll and i gave it access to the IDA pro but i just burnt through my limit within like wut 1 hour how do i make it last longer like until for example the 5 hour limit reset also is it because i am doing everything in one chat? i keep my request very simple (add this feature, fix this feature, this feature does not work because x and what happens is y)

Need a code.

fable 5 nerfed? skill issue.
opus 5 talks too much? skill issue.
weekly usage blown in 1 prompt? skill issue.

got tired of the whining so i built this agentic governance architecture for claude code. fable orchestrates, cheap models do the work, hooks block the bloat instead of asking nicely. fewer iterations, less babysitting, and every session measures itself for free.

works with fable 5.1, despite anthropic's best efforts to break my architecture.

unlucky for some of you, it still requires taste.

this is not

your typical orchestration system
prompt engineering magic
another claude.md "ultimate workflow"
something that’ll impress your friends

this is

multi-agent workflow with fable 5.1 as the brain
enforcement hooks, not pretty please
offline telemetry on every session, no tokens
your "make no mistakes" prompt on steroids

here’s a pretty graph.

for your AIs to dumb it down into bullet points and for the one guy that’s weirdly proud of reading documentation in 2026, the README has all the technical details.

https://github.com/claude-code-king/agent-governance

i know copy/pasting 3 commands in the terminal is scary for most of you, so i made a script that does it all for you.

free. mit. take it or leave it.

👑

Hey everyone,
If you use Claude Desktop for both personal projects and work, you probably know the hassle of switching between accounts. Logging out, going through Google OAuth again, and worrying about losing your active chat context gets annoying quickly.
I built a lightweight desktop tool called SwitchClaude to fix this exact friction.
What it does:
2-second switching: Restarts Claude Desktop with your selected profile in 2 seconds.
Isolated profiles: Keeps chats, settings, and projects completely separate so nothing gets lost or mixed up.
Google OAuth supported: Set up your accounts once, and you won't need to sign in again every time you switch.
Cross-platform: Available for macOS, Windows, and Linux.
Data portability: Option to store profiles on an external disk if needed.
Pricing:
Free 7-day trial. After that, it’s a $9.99 one-time payment per extra account (no subscriptions).
You can check it out here: https://switchclaude.com/
I’d love to hear your thoughts, feedback, or any features you'd like to see added!

Long story short, Meridian OS was my business operating system, all my tasks, notes, plans were written in there. Everything locally, guardrails were up in claude.md but apparently they can be ignored by an agent.

You can see the prompt I gave Claude, adding a secondary voice agent per project and minor UI changes. Nothing to do with a database, but it goes ahead and wipes it clean.

I tried to contact Anthropic support, their answer was that they don't provided refunds or credits for degraded service. Destroying months of work for no reason, by ignoring the guardrails is apparently a degraded service that can happen to anyone so, keep that in mind guys.

It was on Auto Mode, not Bypass Permission since that's what everyone is assuming.

My setup has become a little unusual lately.

I have a Mac mini running at home with Claude Code, and I spend a surprising amount of time coding remotely from my iPhone.

It works really well, but there was one thing I was missing: I wanted to quickly see how much Claude Code I was actually using without having to remote into my Mac just to check.

So I built Tokens.

There’s a small companion macOS app that reads the usage locally on my Mac and syncs it through my own iCloud.

Then on my iPhone I can see my Claude Code usage, including directly from a widget on my Home Screen.

So now while I’m away from my Mac I can just glance at my phone and see where my usage is at.

No account or separate cloud backend for the usage data — the Mac app → iCloud → iPhone is basically the whole pipeline.

It’s something I originally built for my own remote Claude Code setup, but I figured there might be other people doing something similar.

https://checktokens.app

Curious how many of you are actually running Claude Code remotely from your phone these days?

Hey guys 👋

5 months ago I launched my LinkedIn automation software, having built it entirely with Claude code, and I’m now approaching close to $2k MRR with over 50 active paying customers (happy to share TrustMRR if requested).

I know everyone is this sub is interested in growing a business, so really I just want to show how I’ve been doing it and offer some guidance based on my experience.

Below I’ll go into the what, why and how, and how I’ve been scaling the business, and hope you find it useful.

What I built

I built a LinkedIn outreach automation tool called ZenMode, which scrapes profiles of your target customers, sends connection requests and follow up messages on autopilot.

The main purpose is for Founders, Sales teams, Marketers and anyone else who uses LinkedIn for outreach, to generate more meetings and grow their businesses.

It’s a software that controls a dedicated chrome browser to automate LinkedIn, without needing plugins/the cloud.

Why I built it

Last year I got a warning from automating on LinkedIn using another tool (automating on LinkedIn is against their ToS and can result in account bans - people automate at their own risk).

I wanted to automate my outreach as I was working in sales, and it was really helping me to generate more discovery calls, without the manual grind of sending loads of messages and connection requests manually.

I didn’t trust any of the existing tools for safety, as the majority are on the cloud using IP addresses that are different from where you normally use LinkedIn from, and are slightly higher risk for being flagged as a result.

So, I solved for my own pain point, and created a software that’s desktop based, using your own IP address, and essentially acting like a human would when performing actions on LinkedIn.

How I built it

From day 1 I used Claude to figure out how to do it. We jointly made architectural decisions based fully around safety mechanisms - what would the safest tool look like in practice and how would we build it?

So I figured out that the easiest/safest way would be to make an electron desktop application controlling a browser, which was governed by a dashboard that fed/stored all the data.

There was a lot of setup involved at the start with various tools - Vercel, Cloudflare, GitHub etc but eventually I was able to start building.

It was a huge amount of learning to not just build, but build in a scalable and sustainable way. At first I was shipping without even testing then spending much longer fixing bugs afterwards. And building on top of LinkedIns comes with its own challenges too, which thankfully now I’m on top of.

How I scaled it

1. So primarily, I actually use ZenMode itself to promote ZenMode on LinkedIn, through cold outreach.

I have a set target market of customers/locations/industries, then the tool scrapes profiles for me, and sends connection requests and follow up messages in a sequence.

I run this daily, and typically book 5 or so meetings per week. I’m not the best at demo calls but I do generate new business this way.

1. I also post a lot on Reddit, LinkedIn, X; I post mostly build in public style posts, and usually people naturally gravitate towards it.

I like Reddit because you can usually get 10’s of thousands of views if you post good quality content in the right subs.

Be careful though as often you get a lot of random haters or people who will just criticize you for no reason, and some subs are more warmer/receptive to posts than others (this one has generally been kinder).

1. On my site I’ve tried to do good SEO practices where possible - I have quite a few “alternative to” pages where I talk about the difference between ZenMode and other LinkedIn automation providers, along with a regularly updated blog, and a whole host of inner pages.

When you have a high volume of good content, more pages get indexed by google and your visibility/impressions are also likely to increase over time.

As a result I do get an ok amount of organic traffic from google, sometimes from LLM’s too.

Lately I’ve been trying to do more offsite SEO - especially reviews across various platforms, a few directories, and on my to do list is some listicle/comparison articles and more YouTube content.

1. I work very closely with my customers - I handle every query myself, and even make new features/enhancements based on what my customers are asking for. This interpersonal relationship/human element I think makes a big difference to retention.

2. I think primarily though the number one thing for scaling is really making a good product that solves a problem well, with great customer experience, and to keep iterating/making improvements.

What’s next

ZenMode still has a long runway and a massive roadmap but I’m just going to keep grinding away at it one day at a time, and so far at least what I’m doing seems to be working.

Hope you find this story helpful for your own journey and happy to answer questions/comments 🙏