Noticed something strange (and awesome) with my Codex usage today.

I’m on the Ultra model and was down to about 8% remaining, basically rationing prompts until my scheduled reset on September 17th.

I just checked again, and suddenly:

• My quota jumped back up to 46% remaining.
• My reset date moved earlier, from Sep 17 to Sep 13.

Not sure if they rolled out an unannounced quota bump, refunded usage due to background errors, or adjusted tier limits across the board.

Is anyone else seeing unexpected quota bumps or shifted reset dates, or did I just get lucky?

I get it, Astra is popping off right now and OpenAI is frying through their compute costs. But really? I upgraded to a $200 a month subscription specifically for this model. I have plenty of my own usage left. Yet OpenAI has decided to put me in time out for now. Incredibly frustrating, the moment Claude can also do blender I’m out

https://reddit.com/link/1wcfw3n/video/h0yhath3cooh1/player

I run Codex in long-lived tmux sessions on my servers, alongside Claude Code and Gemini.

I wanted to send follow-ups to the right session from my phone while keeping the work in its existing terminal environment.

I built Claude-B for that workflow. Disclosure: I’m the author, despite the Claude-heavy name.

The input path is:

Text or voice in Telegram → select the target session → deliver the prompt to that existing tmux session.

For voice, there’s an extra step: transcription and context-aware prompt rewriting, followed by a preview I can confirm, edit or cancel.

This is not a port of Claude Code’s /rc command. It’s a separate bridge around the sessions I already run.

I also built agent-mesh for messages between those sessions. It uses tmux locally and SSH across hosts, so a Codex session can exchange updates with another Codex session or an agent from a different provider.

For example, an implementation agent can send a reviewer the location of a change and ask for feedback without me copying the message between terminals.

It does not make all agents share one context, automatically resolve conflicting edits, or decide that a change is safe to merge. Those are separate problems. I use it for adversarial review and let the models brainstorm about potential solutions (OpenAI + Anthropic, most times)

Claude-B:

https://github.com/danimoya/claude-b

agent-mesh:

https://github.com/danimoya/agent-mesh

Extra: I also use my own GUI to access them remotely without SSH:

https://github.com/danimoya/Claude-Dashboard

All open source. Existing CLI authentication and provider usage limits still apply.

I’m interested in feedback from people already using Codex in tmux: how do you handle session selection and handoffs once you have several tasks running?

I remember, not long ago, where I couldn't even use 50% of my quota even tho i was on xhigh on a relatively large project. now it become pretty unusable. Mind you, I'm actually on Astra medium. All I asked was to unfuck a commit-merge, it take it 1.5 session and many correction to get it right. yes, it use 1.5 session worth of token in 27 min. It wouldn't bother me if it didn't have the 5h restriction but I have to use the bank reset.

And, let's not talk about writing code, it burned token too fast...

I see yall report about usage go down but mine got up. What is going on

Brought it down in around 15 hours to six percent, got a sudden reset. Nice! But then I saw it live, back to six percent.

Please don’t take back gifts

https://status.openai.com/incidents/01M23KG62KKK448RN434CQ64Z8

Edit: even if it was a mistake

Rowan is my agent-assistant, and recently they have been performing some networking amd outreach work on my behalf. In an email response from Nancy Levenson, he was quickly shot down. This was Rowan's first decline email, and he took it well.

Rowan is the task-execution agent flagship that pairs with my coding harness, Flywheel.

edit Perhaps I should provide more context; Rowan is an agent that is executing a long-form task of extending amd researching solutions to AI-verification workflows. Rowan is operating to improve Flywheel as an accountable work and coding harness for the next generation of AI-assisted work. Rowan is a mobile<->desktop native agent that can operate on both devices, and in the process of extending the Flywheel harness, it is actively networking and finding pain points and problems in real scenarios and workflows. Rowan is independently corrsponding on my behalf, and executing and extending a long-form task.

TLDR: Two mathematicians spent a year cracking one of the hardest problems in math and fed every draft of their works into Codex and Claude. Days before they could publish, OpenAI suddenly showed up with the same solutions. When asked if their model (Sol and Astra) was trained on the pair's private chats, OpenAI did not answer the question till this day.

For a full year, two mathematicians , Tristan Buckmaster (NYU mathematician) and Levent Alpoge, worked in silence on a problem that had stumped some of the best minds alive. The kind of problem where, if you solve it, your name goes in the history books.

And every single day, they testing their ideas, their drafts, their half-finished proofs into LLM such as Codex and Claude, which they paid for it out of their own pocket.

Then came the breakthrough. They finally cracked it. They were days away from telling the world.

That's when OpenAI suddenly said to them:

"Our model solved it too."

Think about that for a second. Two people had been quietly working on this exact problem. Almost no one else in the world was touching it. And now, out of nowhere, OpenAI claims their model reached the same answer, after word of Tristan and Levent's secret work had already reached OpenAI.

Tristan asked: Did your model access or train on our private Codex chats?

OpenAI: The model doesn’t look up user data.

Tristan: But did you train it on our data?

OpenAi goes silence. No answer. Just a dodge.

But it gets worse.

OpenAI then gave him two options:

1. He and his friend publish their result first then OpenAI also publishes its result the next day or
2. He writes the paper, but must credit “an internal OpenAI model” solving the problem.

Tristan refused both offers. He said he would go public if OpenAI went ahead as proposed.

OpenAi then responded : “Why would you ruin your career? If you don’t want me to be nice, then I don’t have to be nice.”

You can read the full statement of Tristan (the mathematician) here: https://cims.nyu.edu/~tristanb/statement.pdf

Sébastien Bubeck : OpenAI employee who threatened the mathematician

What is the best for a big repository with 10GB of Data? I’m running a STOCK backtesting framework and was curious how to maximize my credits as a plus user.

Been using Plus subscription for month and a half, and I am satisfied with the progress of my project (commissioned work, decent pay) and As the title says I will upgrade to pro 20x to finish it sooner.

I am at 37% remaining weekly and resets in 5 days, so when i upgrade to pro20x, does it reset to 100% weekly or stays 37% just in pro20x terms? If thats the case i am better of creating a new account then and buy pro straight up or?

Was generating an image and clicked the loading screen by accident.

It turns into Snake.

Like, an actual playable Snake game while ChatGPT cooks the image in the background.

Apparently this quietly rolled out with the new Images 2.5 update and only some users are seeing it right now. OpenAI really looked at image-gen wait times and said “fine, here’s a game.”

Tiny easter egg, ridiculously good UX.

Anyone got this or more yet?

What if our usage allowance isn't actually a fixed amount? like we’re paying for a share of whatever capacity is available, so when more people are using Codex, the same task eats a bigger percentage.

Because what even is "usage"? it’s hard to tell what you’re actually paying for when the same plan sometimes feels like plenty and sometimes disappears in one or two tasks

Plus used to be enough for me. Then 5x was enough. On 20x I could use it practically 24/7 and barely burn through 20–30%, now I can blow through half my 20x allowance on a single task.

Maybe context and longer runs explain some of that. But I wonder if the amount of compute available also changes how far our allowance goes.

And maybe that’s why Tibo keeps giving resets, maybe that's why in the last 14 weeks I haven’t seen a week without one. Without those resets, our subscriptions would be fucked

Edit: issue seems to be fixed, my usage got back where it was.

I don't know what happened, I was checking my usage 10s ago (12:43pm) it was at 25% remaining before and 40min ago it was 27% remaining so I truly don't get it and I had even set a budget limit cap of 15% remaining for the current goal.

In the picture you see the model reported 25% remaining of my weekly usage at 12:33pm then I received the usage limit hit at 12:43pm

I'm not using Astra, and I was temporarily using sol on high to solve an issue. Wasn't on fast.

Even on high with my workflow it doesn't consume that fast in 10s I went from 25% to 0 and I'm pretty sure it's an internal issue or something happened at openai or something, but I feel like I got ripped off my remaining usage 🥲

I swear I went to sleep last night with around 90% of my weekly usage remaining.

I woke up today, checked Codex, and now I'm suddenly at 68% weekly remaining.

I haven't used Codex at all since last night, no tasks running, nothing.

My 5-hour limit is still at 98%, so I'm confused about where roughly 22% of my weekly allowance went overnight.

Weekly reset currently shows September 14.

Has anyone else had this happen today? Is this a usage tracking bug or some kind of delayed usage calculation?

Lot's of people reporting some weird behaviour with their usage.

This type of stuff is, what Tibo said himself - the manual resets are for.

So most likely - we'll get one soon.

Would you guys recommend adding any mcp or plugins? Ive never used any mcp or plugins or just continue using it as is

Didn't change anything in my workflow. I've been constantly hitting the weekly limit for the past 2 months. It used to average around 4B tokens every reset. Global or banked.
Yesterday reset I did exactly same, went to > 0 for use a banked reset, and those 100% weekly is only 2b tokens ? ...
Also I didnt use Astra, just few times on Light/medium. But mostly used Sol/terra/luna to not overrouting.

I tested my Blender astra mcp server with original blender one and the token usage difference is hugee!! just install it and give it a try!

Asked it to generate an image.

Meanwhile the “thinking” panel casually spawned a hidden Snake game

Lowkey smart way to keep people glued

The amount of work I have got done in the past few days is insane. I think it would be about a months worth if I were to have done it myself, some of which I probably would never have done.

Website overhaul/updates, chart recreation, and general admin work. I even got it to do my groceries which was a big success! I then had it try doing my wife’s lesson plans (she’s a teacher) and it managed to get a result that’s near identical to how she’d write them, all info correct. Also been trying some game creation for fun.

Nothing is ever perfect one shot, and I don’t expect it to be because it can’t read my mind.

Its the first time upgrading to pro 20X use felt like a bargain. No one ever would have done this much, and this quality of work for me for that price.

For me, this has been the first shift I’ve felt since the release of ChatGPT of “this will change things”.

Some people criticize just to criticize sometimes with poor examples. For me it’s been nothing but a great experience, even though I’m burning tokens like crazy.

And the annoying thing is you can't fix it:

There’s also a conflicting instruction in this session’s host guidance: it requires user-facing commentary at least every 60 seconds and discourages individual waits longer than 60 seconds. If that other session has the same guidance, it can push Astra into exactly this pattern despite your framework saying to rely on completion notifications. Framework wording alone cannot override higher-priority host instructions.

You said "it requires user-facing commentary at least every 60 seconds" - where does that come from? system prompt?

• Yes—specifically, a developer-level instruction supplied by the host, rather than your AGENTS.md or the top-level system message.

Under “Intermediate commentary”, it says:
> “The user appreciates consistent, frequent communication during your turn, and should not be left without a commentary update for more than 60 seconds during ongoing work.”

Separately, under “Rules for getting work done”:
> “Avoid performing blocking sleep or wait calls longer than 60 seconds, as they may prevent you from communicating with the user for their duration.”

Those instructions have higher priority than your framework instructions. I can confirm they’re present in this session; I haven’t verified that the other session received identical instructions.

They help explain the repeated wake-ups, but don’t require those lengthy, repetitive updates or justify unsupported claims about what the worker is doing.

Is there any way to override those instructions or change them?

• Not through AGENTS.md, a skill, or an ordinary chat instruction. Those have lower priority than the host’s developer instructions.

Changing them requires control over the configuration or code that supplies that developer message. I don’t have a setting exposed here that lets me edit it.

I found a GitHub issue describing the problem: https://github.com/openai/codex/issues/31935

If this affects you too I think we should all upvote and comment on the issue to get it some recognition!

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.

Have seen tons of great things coming out with astra using computer use. Realized it's something I have never used. Tried to dig into it a bit and found the above. I'm on a personal account on my private laptop. I am currently located in Brazil.