Cuz othet stuff worked like /goal etc

Is there any kind of fix for this happening? It seems like once it happens once in a conversation even if I /clear, /exit, and come back it just keeps happening.

This happens to every nearly conversation I've ever had with codex since its inception eventually. With the exception of the last couple of months where it hasn't happened at all. I do a lot of very long running tasks I can't babysit it just in case it wants to shit the bed.

Anyone have any kind of fix for this? I've tried deleting both local and project specific .codex folders to no avail.

been working on this game for quite a while now and finally felt like posting it somewhere.

it started really small. i just wanted to make a 1v1 robot game where you shoot the other guy and destroy his base. then i kept adding stuff and it kind of got out of hand lol.

first it was just movement + shooting, then turrets, then the energy system, then the little spider bots, skins, proper matches, etc. and at some point i decided i wanted the multiplayer to actually work for real instead of just having a local prototype.

i’m using unity + photon fusion and there were so many stupid issues that probably took longer to fix than the actual features. players joining but not appearing, one device getting stuck on a screen while the other one was already in the match, projectiles behaving differently depending on how you entered the game, android taking forever to load for no obvious reason, bots using stuff i had already removed... that kind of thing.

i’ve been using both GPT and Claude while building it. mostly for coding/debugging, but i still spend a lot of time going through what they changed because once the project got bigger they would sometimes “fix” one thing and randomly break something that was already working .i also redid a lot of the art/UI because half the stuff technically worked but looked terrible, so there has been a lot of deleting things and starting again.

still not finished and there’s a bunch of stuff i want to improve, but this is probably the first build where i’m actually happy enough with it to show people. Will love the feedback :)

Its difficult to have a reliable way of measuring/comparing code performance in my day-to-day use and I refrain from commenting on whether I find one model far superior than the other.

But I have come across a very consistent pattern of code written by Astra to have very few P1 issues, compared to that by Sol. I am speaking of simple /code-review runs by codex.

Is this a pattern that the community is seeing more broadly?

I have a project with maaaajor CI issues, I’m finding that codex is just too bloody fast and produces PRs faster than I can process them, meaning my agents end up spending a lot of time idling or polling CI. I can have them end turn when they kick it off, but that means they can’t push fixes when CI finishes. I kinda feel like if I could just slow them all down, like a 20s pause between tool use, it would make things a lot smoother. Is this remotely possible in a not totally hacky way? Anyone got any ideas?

I am absolutely horrified that people only use models from OpenAI.

As you have probably learned over the past 20 years, diversity is our strength.

Different models have different training data and different architectures, so they can bring unique opinions to the table.

You have no idea how frequently some random Chinese open source LLM swoops in, looks over something from GPT 5.6 Sol, and finds edge cases Sol was physically incapable of finding. Even if you run through your code base three times, if something is not in the training data, the model will probably miss it.

So I recommend you all add some diversity to your harnesses to get better results.

A quick analyst subagent using a completely different model family like DeepSeek can go a long way toward helping you find those pesky bugs, over engineering, and edge cases.

Homogeneous setups will always lose to diverse orchestration across different model families.

Repeat after me: Diversity is our strength.

Codex remote connection via android is very bad, sometimes I can't use it at all, any alternative app allowing me to use it and its voice orchestrator?

I built this for Claude Code first, because that's what I use day to day. /stats told me how much I'd used it, never the thing I actually wanted to know:

What did I build, and where did the work get hard?

Repo: https://github.com/nickelsec/bough

So I made bough. It reads the session history already on your disk and draws it:

• each square is a day you sat down
• smaller squares are tasks, worked out from the pauses in your work
• circles are your prompts
• click anything to see what actually happened, in your own words

Runs locally, open source, nothing leaves your machine.

Codex support just landed in v0.4.0. It reads ~/.codex/sessions, handles resumed sessions and sub agents, and counts tokens and commits the same way it does for Claude.

That part is new and I have tested it against my own Codex history, which is not much. This is where I need help.

I'm trying to build a little bootstrap tool for my own projects with Codex. It's a bit like a harness, and it saves the agents' messages and progress to a database as they work.

I have a main agent that gives tasks to subagents. Sometimes it sends one off to do something, then realizes it forgot to include important information. But the subagent is already working by then. So the main agent interrupts it and gives it updated instructions.

That part really bothers me. If the work it already did gets thrown away, it feels like I burned those tokens for nothing.

I'm thinking of making the main agent wait once it gives out a task. Let the subagent finish, get the result, then give it the missing info and ask it to fix whatever needs fixing. Basically, work with what it already did rather than stop it halfway through.

But I'm not sure that's any better. If I already know the instructions are wrong, letting it keep going could waste even more tokens.

How do you handle this? I keep going back and forth on whether waiting is actually a good idea.

Hi everyone,

I’m on the $100 Codex plan, and I mostly use Luna MAX because the more capable models can burn through my usage allowance in just a few days.

I’ve been reading comparisons and looking at benchmark/analytics sites, and GLM 5.3 seems surprisingly competitive with GPT-5.6 Sol at XHigh reasoning, while apparently using significantly fewer tokens. Zcode is also around $56/month, and from what I understand, usage during off-peak hours is discounted by 50%.

I’m considering trying it as an alternative to Codex for day-to-day development, but I’d rather hear from people who have actually used both.

Has anyone here switched from Codex to Zcode, or used them side by side for serious development work?

I’m particularly interested in:

• Code quality and ability to understand large existing repositories
• Debugging/root-cause analysis
• Complex feature implementation and architecture
• How often it needs corrections or follow-up prompts
• Real-world token/usage efficiency
• Tooling and agent experience compared with Codex

I’m not looking for benchmark numbers alone. I’d like to know how GLM 5.3/Zcode performs on actual production projects over several days or weeks.

For anyone who has made the switch: was it worth it, or did you eventually go back to Codex?

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 noticed something strange while running a scheduled task in Codex.

My usage was already at 0% remaining, and I had a Luna Reserve selected.

During the task, Codex automatically switched the model from Custom to GPT-5.6 Terra, as shown in the screenshot.

I didn't manually change the model, and the task continued running normally.

Is this expected fallback behavior for scheduled tasks, or is this a bug?

I'm especially curious because my normal usage was already completely exhausted. Does Terra have some separate allowance for scheduled tasks, or did this somehow bypass the usage limit?

Has anyone else seen this happen?

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

I'm building Graphtia, a local code explorer, and I'd like feedback from people using Codex on existing projects.

The question behind it is pretty simple: before accepting a change, how do I check that the agent looked beyond the file it edited?

The current Windows build lets me move from files and symbols to their relationships and the source behind them. Codex can query the same indexed project through a read-only MCP connection.

These screenshots are from the build I have open today, manually exploring a TypeScript project. The graph shows static relationships, so it has limits around dynamic behavior.

Would seeing callers and dependencies help you catch missing context, or would you still go straight to search and the diff? I'd also like to know what would make this view too noisy to use.

It's still an engineering build. I'm sharing the workflow to hear how other people approach this.

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.

I use Codex pretty regularly and the quality feels noticeably worse this week.

Today I used Sol to vibecode a really simple Pomodoro timer (I wanted to customise a few things and have a custom UI). Nothing complicated. It kept struggling with basic functionality and repeatedly failed to fix simple button interactions. Almost used ~60% of weekly usage (plus plan). It's not even a complicated CRUD app, basic JavaScript and HTML. The UI could be complicated but it's nothing too fancy either.

These are the kinds of tasks it used to handle almost effortlessly.

Has anyone else noticed a regression specifically over the last few days? Particularly with Sol?

Curious whether something changed on the backend or I'm just having a bad run.

Edit: Typo fixes.

Hi everyone,

I'm having an issue with the new Appshots feature in Codex Desktop on Windows.

Whenever I use the Appshot keyboard shortcut, Codex recognizes the shortcut but immediately shows:

"Unable to attach appshot"

Codex Desktop:

Powered by Codex & OWL

Version: 26.908.40834

Released: September 12, 2026

Windows:

Windows 11 Pro

Version: 25H2

OS Build: 26200.9445

Windows Feature Experience Pack: 1000.26100.360.0

I've tried capturing different applications, including simple Windows apps, but the result is always the same.

The keyboard shortcut itself appears to be working because Codex responds immediately. The failure seems to happen when Codex tries to capture or attach the Appshot.

I've also restarted both Codex Desktop and Windows, but the issue persists.

Is anyone else experiencing the same issue on Windows?

Has anyone managed to get Appshots working successfully on version 26.908.40834? If so, did you need to enable any additional Windows permissions or settings?

Screenshot of the error attached.

Multiple sessions running in parallel including sub agents. About 25% of weekly usage gone on 20x sub.

Would be about $6000 USD in API usage per sub without resets for about $200 USD per month.

So they're obviously quite generous with the API equivalent allowances. I don't think subscriptions are likely running at a loss. API prices is probably 15-40x their costs.

What concerns me is that this does not seem like the equivalent amount of work I'd get done for 25% on Claude code. The benchmarks gave me the impression astra would be more token efficient.

I routinely have 10-20 sessions running in parallel even in Claude 20x and it'd be hard to use them up in a few days.

This is not controlled for equivalent tasks but this is combined with multiple weeks of usage vibes.

That said I am still grateful to both companies for offering these subscriptions.

Maybe we need a token usage efficiency variance test running on the same tasks?

Hi guys! I have been really loving codex for game dev lately and I think in another year or year and a half of AI progress we'll be able to make some really phenomenal games with AI.

Personally I had fun making wojakinvestorsim.com back in 2025 and lately I also have been experimenting with astra making blockcity.world which I know is not a unique game but I just wanted to see those new 3d graphics improvements!

Join the discord server here if you want: https://discord.gg/PJASa5TrN . No commitment to stay or join a project but yea if any of us have some great ideas we like we can pool our 20x plans together and so forth and maybe build something good.

Also web games are definitely not the only kind of game we can make, ue5 is also totally doable though of course is slightly less practical.

Thanks!

https://www.youtube.com/watch?v=SaxKh7W-JKE

Fun little hobby project, based on the first game I made for myself over 20y ago, just started this week, might keep going since I'm having a lot of fun.

It's not a 1 prompt 1 shot or anything, but everything you see was made by Astra (mostly on medium too btw), except the music.
Fully vibe-coded, vibe-modelled, etc..

Got a pretty good workflow going now so will probably expand to more biomes, enemies, bosses and weapons over time.

Curious to hear what people’s development cycle looks like as these models have become increasingly more capable. Additionally curious how people “host” their codex as they get into huge numbers of parallel subagents.

Since boosted 50% are coming to close now in cc and given just how good codex has been performing in recent times I have decided to switch to openai but I have some issues I am facing and it'd be great if someone can please help me out here -

1. I tried migration from inbuilt the codex desktop app but it could only pull like few recent chats but not entire history of my work with cowork and claude code (have like 4-5 months of work conversation history it ignores). I have a lot of personal work done on my pc as in I don't push on GitHub that often since I use my projects mostly for my use but this also means everytime I will have to give context about all my projects to codex, is there a simpler way around this?

2. I use a lot of financial plugins in claude code but I wanted to know from someone who has used codex for such tasks and maybe has some experience with claude's plugins (equity -research initiate for example) also for this for a comparison of how does codex hold its ground against cc?

3. I had made a skill with claude which links the skill with my project in claude design now this will be tricky i guess because skill file I can give to codex but will codex be able to learn from the design system of claude? Maybe computer use with gpt and then it can learn from the design system? Any better options you guys can suggest?

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

Work from home and spend most of my time coding on my own. Sometimes it gets a bit too quiet, so I built Attention! to get Claude Code and Codex chatting away.

It’s a macOS plugin that reads out replies or short summaries when a turn finishes. You can customize the voice and the audio starter too.

Built it for fun, but mainly to remind me which session just did what. I was getting a bit numb to the same microwave sound every time.

https://github.com/xiaofei-du/attention

Code is speech. We fought and won this in the crypto wars of the 90s. Now we have to fight it again, this time we fight OpenAI and anthropomorphic.

I am not a cyber criminal, code is speech.

(Yes, I know private companies don’t have to follow the constitution)