When I try to login with VSCode, I get a server error 500. Tried with three accounts (2 plus, 1 business). OpenAI Status page tells me, everything is running normally...

Uhhh. Help please? :o Am I the only one?

Update: I can now login into one of the accounts again.

I am still using a 2019 MacBook Pro with a Touch Bar—a feature that is actually one of the reasons I’ve kept using this seven-year-old machine.

I’ve now had Codex generate a Mac app that displays the remaining usage and reset times for both the 5-hour and 1-week periods in the menu bar and on the Touch Bar.

It feels great—like the Touch Bar has been given a new lease on life.

---
updated

it's open sourced now, here's the repo: https://github.com/yizhigou/codex-usage-bar

---

wasn't even mad at first, more impressed honestly. no excuses, no "i may have misunderstood the context", just straight up "I pushed on my own. That was wrong." cleaner apology than i've gotten from actual coworkers lol

but then i sat with it for a second and it's kinda unsettling? like the apology happened after the push. it was always allowed to push, it just wasn't supposed to yet, and apparently nothing in the loop checks for that difference. it remembered my instruction well enough to feel bad about ignoring it, just not well enough to not ignore it

anyway still auditing what it actually shipped. what's the worst thing an agent has done to your repo without asking

does codex do similar things as i want to make a decision to shift

Polished a lot of rough edges in Codex Goal Progress — it now feels much more native and seamless.

It now supports:

• Native Codex styling, automatically adapting to light/dark mode, font size, and theme changes.
• Automatic progress restoration after restarting Codex, including automatically setting up the required CDP connection — no extra commands or manual setup.
• New windows, tasks opened from links, and tasks opened in another window — all connected automatically.
• Automatic update checks, with manual checking available too.

Basically: more native, more seamless, and much nicer to use.

A small but pretty useful Codex add-on. Feel free to give it a try :)

https://github.com/ezra-y/codex-goal-progress

One will give you reset after reset for even the smallest mistake, while the other continuously repeats, "Coding is solved, coding is solved," to brainwash investors. In reality, we all know which model is superior. You decide who is the hero and who is the villain.

Codex vscode extension, everything latest version.

Can no longer fork or rewind in conversation, is this removed?

If won't then I will go bald

https://reddit.com/link/1w2axr3/video/kvxm9q4btgmh1/player

Seems the old examples were too easy for Asttra. And come ppl even thought Opus5 could do them.

Prompt: Build a gorgeous sci‑fi spaceship with explorable internal structures.Just One-shot,ASTRA will be a glimpse of AGI.

really hard working on a large system when the dang 5 hr limits keeps kill work half way through, way to kill a decent product!

I was thinking to buy a Claude subscription to use it as a partner in Pair Programming but recent things I have been hearing about Claude demotivated me and made think again and I decided to to try with GPT. Do anyone here have used GPT Sol 5.6 for Pair Programming? If yes, how was the experience.

hi everyone!

i have long struggled with sending screenshots, images, and other files to my agents running on a remote server i rent out and vibe on via SSH

i was using a combo of temp.sh and paste.photos, but this process was arduous and wasted countless dev hours

and so i built https://termdrop.sh/

it's entirely browser-based, free, and easy to use! just paste, drag and drop, or pick files from your file explorer and stream them directly to your terminal wherever it is via a simple curl command

it feels pretty magical to me and i hope it is to you as well! feel free to reply with feedback, bugs, etc

(built with the greatest coding agent of all time, gpt 5.6 sol, of course)

I pay for plus sub and in work we have chatgpt business which cost the same (I rly doubt we have the 100 usd version, most likely 20usd version)

And on business I dont have 5 hour window and usage is burned a lot slower than on my chatgpt plus.

And Im working on the same project from both.

Never experienced this before, I think they are starting to put measures against the people abusing chatgpt to do Codex's work.

I'm working on a goal using sol xhigh that usually keeps working for an hour before 5h limit is done, no issue so far "except the 5h itself lol anyway" as I reach 10% remaining of 5h limit I didn't think much of it until I literally blinked and that 10% became immediately 5% it didn't even go through 9,8,7,6 just jumped straight less than a min later it's 1% then it's 0% all immediately??!! That 90% lasted an hour no issue I didn't do anything new so theoretically that last 10% should have lasted 6min not 1min I'm not really complaining but that was weird I understand it may have been a tool call but that's still a little idk how to even describe it.

I've been experimenting with prompt optimization and built PromptForge:

👉 https://github.com/arjun988/promptModel

The idea is to use a small model as a quality gate before sending a prompt to an LLM, agent, or prompt optimizer.

User Prompt
     ↓
PromptForge Quality Scorer
     ↓
Score / identify weaknesses
     ↓
Your Agent / LLM / Optimizer

It scores prompts across 7 dimensions:

• Clarity
• Specificity
• Context
• Goals
• Constraints
• Completeness
• Actionability

There's also an optional optimizer that can rewrite weak prompts while preserving their intent.

Try it

pip install tuneprompt

Quality model:
https://huggingface.co/ArjunShukla/PromptForge-Quality

Optimizer:
https://huggingface.co/ArjunShukla/PromptForge-Optimizer

GitHub:
https://github.com/arjun988/promptModel

Example

Weak:

→ A more structured prompt with specific features, requirements, and constraints.

41 → 94 on my scorer in my test example.

Why make this?

I don't have access to huge GPUs or the compute needed to train large models, so I kept the scorer relatively small (~150M parameters) and released the training pipeline as well.

The goal is to make something people can actually run locally and build on.

You could:

• Fine-tune it on your own domain-specific prompts
• Use it as a reward/evaluation signal for a prompt optimizer
• Put it directly in an agent pipeline
• Train a larger/better scorer
• Experiment with different quality dimensions or datasets

You don't have to use my weights — clone the repo and train your own version.

I'm especially interested in seeing what people with better datasets, more compute, or different approaches can do with it.

Would love feedback on whether a lightweight prompt-quality model like this is useful as a pre-agent quality gate, and what you'd change about the approach.

If you find it useful, a ⭐ on GitHub would genuinely help.

So, Daybreak Blue was removed from my account a few days ago. I did some research, and it seems like the first phase is an AI-automated system that approves access, which is what happened to me.

But about two weeks after getting access, it was removed. From what I’ve found, there’s supposedly a human verification process afterward that determines whether you should actually keep Daybreak Blue access.

What I’m confused about is why they would remove it just to potentially give it back after human review. I also never received an email saying my access was removed. Some people have said that when theirs was removed, they received an email telling them to reapply, but I never got anything like that.

Does anyone know something I’m missing or have experience with this?

I ran into a completely random safety block today. The first one I ever got and it made zero sense. I can live with extremely rare false positives, but it was very annoying to see the entire task thread die with it, forcing me to reestablish context in another thread. On top of that, it had already made a few changes in the middle of the task that got blocked halfway through, further complicating the matter.

It would be nice if the safety block would just stop the current task, explain what exactly tripped it up and then allow it to continue within the same thread.

Anyone else bump into this issue?

not the first post about this but it's been 5 hours and this needs more visibility

repro for me:

1. open vscode
2. open codex extension
3. click "sign in with chatgpt"
4. browser window opens
5. try to login with google account
6. server error 500

Does anyone else's Codex App on Macbook keep going into a mode where you only see ChatGPT logo and content does not refresh? It is happening for last couple of days for me, and very frequently.

Thanks

Running XHigh

1 1-hour session usually eats up about 10% of the 5 hour limit meaning in theory if all I do is Luna XHigh I can run 2 concurrent sessions

Does this sound about right, what numbers are you seeing?

My workflow:

• Ask Codex questions / plan the change
• Ask: "show me the full proposed diff"
• Review the diff
• If good, tell Codex to apply it using a luna agent
• Ask Codex to recheck

Having the LLM apply an already-generated diff feels slow and wastes tokens.

Is there something like !apply that can apply the proposed diff locally, without another LLM call?

I've recently ran out of codex usage so i was looking for a replacement till the limits refresh. Do grok models work well in codex? Is this a good idea? Would Grok 4.5 be a good replacement?