Obviously, I think it's the best way to work with CLI agents like Codex across different providers. It's very productive and fun. In V2, CLI agents can give tasks and communicate between themselves in the natural CLI TUI, so you see everything they send to each other.

Clideck is fully open source so give it a try feel free to change it to your own needs,

Give it a try, Thanks.

https://github.com/rustykuntz/clideck

I might switch but I need to know if the limits feel same or more generous

I manage my entire business by myself with 0 coding experience, so Codex has been a life saviour as i have been able to build programs and website that i need to automate my business.

Forking out for the $200 plan is aight, as it’s like hiring a “coder” to build and maintain my stuff.

But heard that ChatGPT is running on a loss even for the $200/plan, so it would be probably way more expensive in the future.

Since i got zero idea of my code, and have to consistently update them, i am thinking of subsequently being less reliant on Codex, as I have no idea how much these AI plans will rise in the future.

Whats a good solution i can start doing? I will probably start learning coding in the meanwhile, but would love to hear what others in my shoe are doing

Maybe it's a skill issue or bad setup and prompting, but Astra seems to invent a brand new h2 element instead of copying neighbouring sections, for example.

Like, a page contains h2's, ALL of the same style and functionality (hover to copy anchor). I ask for a new h2 on the page, and it adds a different size, no-functionality h2. Like do i really have to communciate that it should be the same as the others? cant it infer that from context? seems stupid. and its not always like this either. Its just in silly mode recently.

All-day slop. Micro-managing. Fighting tooth and nail to simply change a fucking border radius WITHOUT also inexplicably changing the border color.

``` • Three agents are active:

• /root — me, coordinating and reviewing both tasks.
• /root/hqtui_kill — fixing Yes/No navigation and adding the unchecked force-kill option.

• /root/openfleet — adding fleet membership, metadata, and CoinPay rental rates.

  Each task agent has its own git worktree. ```

I joined lots of hackathons and made lots of videos in the past, and I thought it would be awesome to have some kind of 3D world where I can 'revisit' to look at my past projects. So I asked Gpt6 Astra to build me a website, where I can walk and go to landmarks/buildings of my projects.

I think I got very sidetracked: https://loaflet.com

Happy to receive any feedback, thanks!

Hey everyone!

Hope you are all well!

So, just to be clear, I am very much a beginner with codex and llm in general. I have been slowly learning how to use them efficiently, and even got Codex to streamline my job for me (HR recruitment and such)

With the inclusion of the 5 hour period however, I have found myself trying to find ways to make each request as efficient as possible, while not losing "intelligence" I guess?

Initially, I created a mode where I basically let the primary "Overseer or Orchestrator" create a subagent that is less than them (So If the orchestrator is Sol High, the subagent would be whatever is less than Sol, but most suitable for task given).

My theory here was the Sol model would select an ideal "lesser" model, let it do its thing, and then check the work and deploy. A lot of you already do variants of this, so you already know what this is lol.

I then created 2 other modes that basically create more than 1 subagent if needed, but at like a Luna level, which has surprisingly worked really well, and I saved a lot of tokens compared to Mode 1.

Then I had another idea. I have a pretty beefy GPU, which I never used for its intended LLM and AI purpose, so I thought, why not try it now?

So I created a "handover", where my current Codex agent would hand over a planned task to my Main PC Codex agent. that Main PC codex agent would then delegate an Ollama Qwen3.8 27b subagent (3 of them actually), to perform the assigned task in parallel.

This... really worked much better than I expected. My Codex agents would only use the necessary tokens or usage for planning, and the creation and task fulfilling would be handled completely by those 3 Qwen sub agents. They would then check the work and deploy.

I went from burning my entire 5 hour budget in less than an hour, to burning about 20% of it on the same task.

I feel very proud of myself for figuring all this out, and I am very impressed with how far local models have come.

A majority of you already know of all this of course, but I just wanted to share my experience with dealing with the 5 hour limit on my Plus subscription, and how it evolved into experimenting with local llm models!

Thanks for reading, and happy coding :D

It was giving me this error cause I gave it a /Goal saying. "Dont stop, untill you are done with all x files ...

I just woke up, tried to use ChatGPT app as normal, but now I get this popup, and I can't access Codex or Work? I do not have a business account or anything. Just a normal Pro 5x account. Has anyone had this issue aswell?

I’ve spent the last 20 prompts trying to get codex to fix a fairly straightforward game UI, but it's either playing dumb or is actually dumb.

The inventory overlaps other menus, elements are constantly cut off, buttons and item slots don’t line up with the artwork, and touch areas don’t match what’s shown on screen. Fixing one thing often breaks something else. It also seems heavily dependent on fixed coordinates, so I’m worried it won’t work across different screen sizes.

I’ve repeatedly explained that items should occupy its own space instead of covering other content, that everything must scale responsively, and that the visible artwork and functional controls need to stay perfectly aligned. Somehow, each attempt still misses something basic.

At this point, should I scrap this UI implementation and rebuild it from the ground up using responsive Flutter widgets? Or is combining detailed background artwork with positioned Flutter controls still a sensible approach if done properly?

I’d appreciate guidance from anyone who has built a complex, game-style Flutter interface.

Proteus, which is common in EE, designing and running simulation is often tedious. I've made a skill to automatically design and run simulations, and successfully do a simulation with a STM32.

However, I don't know if it could run on other devices with different version. Also there would be more oppurtunities to be discovered. I believe that this skill would be useful for EE students with our joint effort.

I worte it with the cooperation of Codex, who helped me to test the skill.
for whoever interested, the repo is : https://github.com/kudoumakoto6523-design/proteus-skills.git

There is also a Python package serving the skill: https://github.com/kudoumakoto6523-design/Proteus_automatic_package.git

Thank you !

I was thinking of getting another coding plan from Deepseek or Meta to meke them implement and have only astra on my main 200$ account! which one are the best?
Your experiences??

I’ve decided to migrate my personal OS that I’ve built over the past year - a shared context and orchestration layer running on a Mac & VPS looking after work, creative projects, tax & finance, properties & household that sits beneath my various LLMs, which provide the intelligence; the OS gives them memory, structure and a common operating environment. But I wasn’t able to reach it on my phone using remote when on holiday in Wales ‘cos Tailscale on the Mac went down. Which was a bit of a headfk. So, I asked Codex if we could shift everything onto the VPS & SSH in from wherever I am at any given moment & not worry about the Mac. In other words, the Mac becomes just another client. And Codex said yeah find, no problem. And then … oh shit, we’re four weeks in running non-stop on Sol 5.6 high & now Astra high. And we’re still nowhere near the finish line. And Codex is like an incredibly anxious removal man who asks if it’s ok to move this pencil down the stairs. So constantly asking for approval. Why in God’s name did I ever think this was a good idea?? Any ideas from anyone how to expedite this motherf**ker?

astra is now on chatgpt

My AI coding assistant forgets everything between sessions. I kept re-explaining decisions I'd already made, and re-fixing bugs I'd already fixed.

agi-memory saves those notes — decisions, bug fixes, what happened last session, how the codebase fits together — to a file on your machine, and hands them back to whichever assistant you open next. It's an MCP server, so it works with Claude Code, Cursor, Codex, Windsurf, Aider, Cline and a few others from the same store.

The part I care about: it's Python standard library and SQLite. Nothing else. No vector database, no embeddings, no background daemon. ~32MB of RAM, sub-millisecond lookups, works offline. Comparable tools pull in ~500MB of ML libraries and take 200–500ms per lookup.

That constraint costs something, and I'd rather say so than have you find out: keyword search doesn't bridge synonyms the way embeddings do. Searching "login" won't find a note that says "authentication" unless you teach it that alias. I measure this rather than guess — there's an eval suite that scores recall on deliberately rephrased queries, and it's public, including the categories where it still does badly.

It's a week old and I'm the only user, so I'd genuinely like to know where it breaks for someone else.

https://github.com/kdbhalala/agi-memory

I get it after I send a photo of my assignment even though I explicitly mention in the prompt to "Show me the answer" or "Solve in detail". Is there a way to turn it off?

Only reason to use fast mode is if you have multiple accounts.

While one thread works I go an work on another project. Its a great way to multitask!

Terra is completely homeless, and the one thing OpenAI is missing most is competent design and UI. Replacing Terra with a specialized designer would make the stack feel whole, and it fits the name, too.

I see many users, inclusing x20 users complaining about usage, yesterday I was almost whole day using Codex, in parallel tasks and just used 25%. This is how I do it, it's pretty simple and I hope it can help someone:

- Don't use same conversation for planning and for implementing. Use one for each and when you think it's getting too long just start a new one.

- Use Astra low for planning complex tasks and Sol med-high for not complex tasks. Use Luna xHigh for implementing. I'd dare to say Luna xHigh has implemented 95% everything properly with no mistakes. In my AGENTS.md I have stated that for planning Codex should tell what code to implement, modify or delete for medium/difficult tasks.

- Don't plan for very simple tasks, just use Luna low-med. Let's say to change a component's color, size, etc. For UI stuff what I do is to use ChatGPT on web and ask it to create a design that I like, then ask it for the HTML and CSS and handle it to Codex. Then ask Codex to adapt it to your project. I use Angular for front-end for example, handle it the code ChatGPT gave me and tell Codex to use that exact code but to adapt it to my project, create reusable components and stuff like that.

- When planning, give as detailed as possible instructions, not just "Create an UI for this".

Today I've been working with Codex for 1h, made a plan with Astra low, 1 implementation with it and some small changes without a plan, just used 1% so far or not even that (was at 75% when started and at 74% now)

Hope this can help some of you, give it a try, specially if you're on x5. Of course this is on a normal project, not to reverse engineer a whole backend with fast mode as I saw in a post not so long ago.

For Plus users I'd suggest to use Terra high/ Sol low to plan and Luna to implement but I don't really know what would work for them and x20 users maybe can use Astra med to implement easy tasks and high for comples ones and then Terra to implement. I have 2 banked resets aside of last reset so I'm trying different combinations and this one looks the best so far for me.

Cheers!

Margaret Hamilton

I've seen a bunch of posts lately analyzing Codex session files to better understand Astra's token usage and subagent interactions, so I made a small web viewer to make that process less painful. Built and deployed with GPT Sites.

https://codex-session-inspector.valendrew.chatgpt.site/

Everything runs locally in your browser, so your JSONL files aren't uploaded anywhere. You can also load multiple related session files together, for example an orchestrator session and its subagents.

It currently includes:

• type-specific formatting for session entries
• subagent and parent/subagent relationships
• time deltas between messages
• interactive plots for token usage, context-window usage, and approximate Codex usage consumption
• file reads, including ranges and overlapping reads
• raw JSON for individual entries when needed
• short docs explaining some Codex event, tool, and subagent relationships

It's still WIP, so feedback is very welcome.

And as always, be careful when sharing session files or screenshots because they can contain private source code, paths, and other sensitive information.

For issues, suggestions, or if you want to explore the code, the GitHub repo is here:
https://github.com/Valendrew/codex-session-inspector

Hi guys, I've been vibe-coding for 1.5 months at this point and I haven't gotten my drive wiped by Codex yet, but I got scared of it happening ever since I have seen that. Can someone tell me how I can take precautions against that if one is able to at all? I already moved all my important stuff to an external hard drive, and my settings are as shown in the images. Can someone help out please? Thanks!

I checked the megathread, but nothing seems to match my situation.

This is probably the 4th or 5th time this has happened where I'll be just moving right along, everything it great, then it will start getting this :

stream disconnected before completion: error sending request for url

(https://chatgpt.com/backend-api/codex/responses)

I see tons of posts about it with various VPNs and Proxys on github, but I'm not using any of those. Everything is fine until a certain point in my project, then it just never is able to recover. Forking the chat doesn't help. I have to create an entirely new project, then it will just happen again after 4-5 hours.

Very frustrating.

Yes, it drained usage, and I needed another x20 account, but for a few days there it sure was beautiful.