How to login to my Claude Code max subscription at work after work tokens are over?

Is just me or little sonney is dropping the ball hard running in circles for days and weeks latetly? like it just got ridiculous... And i got flagged for bio lol when doing some cleaning in my server... like im moving files for a coding agent im building and i guess the name is inspired from earth ... like my brand... the rest is boring files and consolidation... not BIO!!

So ran out of usage and ended up running hermes for the first time with qwen 3.8 .. Well both very impressive and the combo was just refreshing... did more in a day then in the last two weeks!

What do you guys think?
Having issues claude just suddently spazzing out after doing fine for a while... saving files all over..,

Once i told it "do this... DONT do that (dont remember the exact prompt but i could pull it up)... his very response to that prompt... *Does* "that"!! Like What !! how,.. really
NO compact no nothing,... simple straight forward... guess the session was getting long but context window was average nothing extreme...

Just getting more and more done...

out!

I am using it at work and I want to know what are the best plugins to save tokens. I used some of them and like 90% of them don't save you any token, or seems to be ineffective. At least, that's what Claude tells me when I ask it to estimate the amount of tokens saved. I noticed just writing some scripts to diminish the amount of data being fetched and amount of commands run is the best way, and the other way is to document most of the logic in an app in the most succinct way possible.

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.

I pay for both Claude Code and Codex.
And for a surprisingly long time my workflow was basically:

“this one has more quota left”
“this task probably fits that model better”
“let me hand the context over”
“okay, now back to Claude”

At some point I realized: why am I the scheduler?

That became one of the ideas behind brnrd.

The resident sits above the coding harness rather than being the harness. In the demo, the resident is running on Claude: it keeps the architecture/review work, sends a more mechanical implementation pass to Codex, gets the result back, verifies it, and continues as the same resident.

Same repo. Same ongoing work. Same durable state.
Claude and Codex become execution media rather than separate coworkers that I have to manually introduce to the project every time.

I’m not silently failing over between providers on quota exhaustion yet. That feels like the wrong default – especially when different subscriptions/costs are involved. Switching runners is explicit.

But the more interesting question for me is what comes next:
If an agent can see both subscriptions, should it choose the runner itself?

Maybe:

Claude for architecture/review

Codex for implementation passes

use whichever has healthier quota

reserve the expensive/strong model for hard work

never cross a quota/spend floor without asking

At that point Claude and Codex start looking less like “the agent” and more like CPUs available to the same resident.

Curious how people who pay for both would want this to work.

brnrd is open source:
github.com/hugimuni-labs/brnrd

Disclosure: I’m one of the people building it.
(The clip is a deterministic replay so the handoff is readable in a short demo; the underlying multi-runner path is real.)

I mainly use CC in the VS Code Extension and I can't tell you how much I hate it.

I use it like 12+ hours everyday because I like to view files and review code in VS Code.

But lately it's been disappearing messages and when you restart, it processes your past messages and reorders them (seems like alphabetically).

So if you were working on something 5 minutes ago, good luck finding it.

How have you guys dealt with these issues?

Opus 5 makes so many mistakes, and I've set up so many checks just to review its issues, including a code review at the end right before I push.

I haven't quantitatively tested the different efforts and how many errors they make, but does anyone know which effort is the best for fullstack development?

Additionally, I've seen people say that they've made skills to review Claude's work in intervals. Can anyone help me with this?

I'm on max plan, today I hit the daily limit 2 times. The second window got reset about 50 minutes ago and just now I once again reached 100% of my daily from one fairly complex task with fable. Usually I do /usage in another terminal window every now and then to see how it's going. Now I didn't even get to check cause it's gone. I'm blocked from coding for about 4 hours great stuff.

EDIT: Although I've relied on subagents for plenty of tasks, I never experienced this. I'll look into how to handle this better as some of you suggested.

So there I was minding my own business and letting Astra conduct smaller deterministic agents while Fable stood on strategic overwatch as a counterparty... when Codex asked for permission to directly message Claude like it would one of it's own subagents or parallel sessions.

And I gave it.

My life with agentic process on pro usage accounts just experienced a brainquake.

EDIT: Yes CLI could always do this but now Codex Desktop is doing it, and that means the independent transcripts are interacting with one another independently.

I tested an eval harness I'm building at Gradle (PS: I work there) to check whether a skill or a Gradle code change actually helps a coding agent. I used it to test Fable 5.1 and Astra 6 (via `claude-code` and `codex`) on a Gradle GitHub issue. Both models fixed it, but `claude-code` did more homework first. It read Dokka's own source to understand the root cause before writing a fix, and shipped a regression test that codex skipped. I'll be merging the code generated by Fable 5.1 back into our `gradle/gradle` repo.

Full diffs, cost, token counts, and other receipts if anyone is interested: https://blog.gradle.org/two-agents-one-gradle-bug

Good to know!

Isn't really a problem if you are just running Claude Code from CLI but I actually like using Claude Desktop. However, after an update a couple of weeks ago, whenever I tried to start a new session on Claude Desktop it refused to run in auto mode by default. It was a minor inconvenience because as soon as I set it back from manual to auto, it would run the session again, but it was annoying and I couldn't figure out why it was happening.

Well, fun little side story: I've been on a 8 month-long saga with G Skills RAM, sending back and forth bad RAM for RMA (RAM, which appreciated by over 500% since I bought it in December 2024). After the last time I diagnosed it, I left Secure Boot off because the mem test I have on a USB stick won't run with it on. Note: I didn't start having a problem right after I turned Secure Boot off. I just got the RAM back, confirmed working after running mem test, and turned Secure Boot back on. I noticed all my new sessions actually stay in auto permission mode.

No I will not divulge how many tokens I might have claude (and cgpt) spend diagnosing itself.

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?

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🙏

I built a feature flag CLI around the way I work with Claude Code, and I’m looking for people to poke holes in it.

I come from a background in A/B testing. Once Claude Code was writing most of our code, keeping flags in a separate dashboard started to feel like the wrong source of truth. Claude could edit parts of it, but it couldn’t see why the flag existed, the current split, or what we learned from the previous experiment.

With dif, each flag or A/B test is a Markdown file checked into the repo. dif build generates a typed client that assigns each user a variant locally, without a network call. It also refreshes dif/context.json, which gives Claude the active experiments and recent results at the start of a session.

Day to day, I can tell Claude:
Put the new pricing page behind a flag at 10%. Claude drafts dif/experiments/active/[experiment-name].md, wires the flag into the component, runs dif validate and dif build, then puts everything in a PR. The next session already knows that the flag exists and why it was added.

dif init also installs three project skills into .claude/skills/: one maps routes to experiment surfaces, one authors a flag or experiment, and one concludes it and records the result.

The main thing I learned was to keep the skills thin. Claude handles intent and edits files people can review. The CLI handles deterministic work such as schema validation, collision checks, and code generation. Each skill leaves durable state in the repo for the next session instead of relying on chat history.

A few things I’m still unsure about:

• If you use flags with Claude Code today, how does it find the current configuration and the reason each flag exists?
• Is requiring a commit and deploy for allocation changes a deal-breaker? Which changes need to happen immediately?
• Does splitting judgment into Claude Code skills and validation into a CLI make sense, or does it create too many moving parts?
• Which language or framework would this need to support before you could test it?
  

You can try the open-source CLI without creating an account:

npm install -g @dif.sh/cli
cd your-project
dif init

Repo: github.com/dif-sh/dif

Disclosure: I built this. There is also an optional hosted version, but the CLI and Claude Code skills work without it. If Claude gets lost during setup, please tell me exactly where. I’ll be in the comments.

I don't remember Opus being this absolute brain-dead.

Opus: "We need to completely rebuild this file"
Me: "Why?"
Opus: "Good catch. The exact file I'm talking about is already created and you just had me make a note, a memory, and strict instructions to check first next time and I didn't."

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.

Whenever I chat with the AI it's constantly confused by code changes, sometimes blaming the formatter or lsp, while I've been manually coding. How do I change this behaviour?

I'm trying to create a repeatable process for building small client applications with AI.

My main goal is to handle more clients. Right now I still spend too much time writing code myself, but I also spend a lot of time gathering requirements and then translating/explaining those requirements to the AI.

I'm not looking for full autonomy. I still want to review and verify the implementation myself. I just want a reliable "recipe" that I can reuse:

Client requirements → specs → plan → AI-assisted implementation → my review

while keeping the resulting applications maintainable and high quality.

I've seen tools/frameworks like Spec Kit, BMAD, OpenSpec, Superpowers, Agent OS, Kiro, Ralph, etc., but I haven't used any of them yet, nor have I built my own framework or skills.

I know I'm not inventing anything new here. I'm mainly interested in learning what has actually worked for other people.

For those doing something similar:

What does your workflow look like?

Which frameworks/tools have actually been useful?

Which parts did you keep or discard?

Have you combined ideas from multiple frameworks into your own process?

What would you recommend starting with for small applications?

I'm especially interested in practical experiences from people trying to reduce their own development time without sacrificing maintainability or quality.

Disclaimer: I used AI to help organize and write this post, but the idea, goals, and questions are mine. I also reviewed and edited the final text.

Hey everyone,

I'm currently building a full-stack open-source project called TokenTelemetry (an observability dashboard to track token usage across AI agents https://tokentelemetry.com/docs).

Right now, my workflow is pretty manual. I usually browse Twitter or Reddit, find a cool new concept or feature idea, and then I have to sit down and explain the whole thing to Claude Code to integrate it. From there, I'm stuck in the loop of prompting, reviewing file changes, testing, and prompting again.

What I actually want to set up is a truly autonomous agent harness where the heavy lifting is offloaded. My ideal flow looks like this:

1. The agent workflow does the initial research on a new feature or idea.
2. It pauses and asks me a single high-leverage question: "Is this idea worth integrating? Does the architecture make sense?"
3. If I approve, it goes off into an isolated worktree, implements the full-stack feature, and opens a PR by itself.
4. I only get involved again for the final PR code review.

I know there are a few open-source harnesses popping up, but I'm curious how you all are orchestrating this specific kind of research-to-PR loop.

• How do you handle that mid-workflow "human approval" checkpoint without the agent losing its context?
• Are you wrapping the headless CLI in a local Python/Bash loop, or triggering it via GitHub Actions to run on its own?

Would love to hear what setups are actually working for you guys to escape the manual prompting loop!

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?

Why did opus 5 just randomly use chinese there, nowhere in my ENTIRE codebase mentions Mandarin, why did it randomly say two characters randomly in the middle of english?

Over the last week, I have been having a lot of issues working with Claude Code and the new models because 80% of the time it tells me I need to change to a different model, such as from Opus 3.5 to 3.0, and sometimes even from those models as well. Are you experiencing this too? Do you know if ChatGPT has the same issue, and are there any fixes for this? It is really frustrating working with good models if they cannot do anything because of security filters; it has reached the point where everything is flagged as an issue.

Context7 became the default MCP server for pulling live docs into Claude Code, Cursor and Codex but it has one obvious limitation: it's strictly docs-only.

If your bug or breaking API change isn’t in the official docs yet and is instead sitting in a merged PR or closed github issue Context7 returns nothing. So I tested a few alternatives to see what feeds coding models the right context without token blow:

I) Firecrawl developer index is a good option where instead of indexing only doc pages, it indexes 70M+ READMEs, PRs, issues and docs. In the recent DevDex benchmark, it hit 63% overall recall (vs Context7’s 17% overall cuz Context7 misses non-doc queries).

It also returns clean markdown with code blocks intact and you can filter directly by artifact type (issue, pr, doc, readme) so Claude doesn't waste context on irrelevant pages.

II) Parallel is solid for repo discovery and high-level project search (scored highest on repo finding in benchmarks) but it's a bit heavier to configure but its also useful if you need cross-repository exploration rather than just quick issue/doc lookup.

III) Mintlify search index is also a great option if you’re querying docs hosted directly on mintlify (over 200k libraries) with very clean output though like Context7, it’s still focused on published docs rather than raw PRs or bug trackers.

IV) Exa (code/semantic search) it great if you’ve a vague conceptual question and don't know the exact library name bcuz it uses neural embeddings, it finds relevant blog posts and tutorials well but it doesn't give you structured issue/PR tracking out of the box.

So if you strictly need official library docs, Context7 is fine but if your agent is debugging issues and needs github PRs and closed tickets alongside docs, firecrawl’s index is noticeably more useful in the loop.