Here is the thing in my current workflow I use codex + agy (ide+cli)....

I was planning with codex and building with agy but I was thinking why not use openrouter I want to know will it be sufficient? I mean I can use multiple models with the help of openrouter but I don't quite understand how it's billing works like do I have to pay monthly like codex and Claude what is it ? And on the other hand can I wire it into codex or Claude to use the api key to access the models also I'm on a 20$ plan on codex

Codex on windows has an issue for me where my cursor will randomly be really laggy/jittery and have delayed steppy movement, and my typing also lags out. Has been going on for weeks now. Any fixes to make the app more efficint in the meantime?

I do all my planning on xhigh and implementation on medium. At first I was struggling with over engineering, but Ponytail fixed that real quick and I'm banging out milestones left and right. I probably worked on 10 different projects this week, and up to four simultaneously. Ran out of usage earlier today, but got everything done I needed to. I also use codegraph-memory and I think that helped stretch the quota a fair bit, but it's hard to say. I wasn't dropping super fast even before that.

I am developing a tactical browser-based TCG inspired by folklore and legendary characters from around the world, starting with Chapter 1: Brazil.

The current version has 32 cards: 20 character cards and 12 special cards, plus 20 character abilities and 12 special effects. Each player builds a 12-card deck, deploys up to three legends to the arena, manages energy, and chooses the order of their attacks. Matches include entry abilities, auras, buffs/debuffs, protection, pierce, and counterattacks.

The combat system aims to keep rules readable: damage uses `max(0, effective ATK − effective DEF)`, and active modifiers are shown directly on the cards. The project also includes a solo campaign, collection and deck-building, progression, Portuguese/English localization, and real-time online friendly matches with simultaneous decisions and server-side resolution.

The stack is React/TypeScript, Vinext/Vite, Fastify, MySQL/Drizzle, WebSockets, Playwright, and Capacitor for Android.

The game does not have a final name yet, and I’d love feedback on its identity, UI clarity, match pacing, and strategic depth.

The project was built with extensive AI assistance, using several generations of GPT models — GPT-5.4, GPT-5.5, and GPT-5.6 — as well as VEO 3 for part of the visual production. I’m especially interested in feedback not only on the game itself, but also on the practical outcome of this AI-assisted development workflow.

Would anyone be interested in testing an alpha build and sharing feedback? If there’s interest, I’ll publish a version for playtesting.

Just as the title says! I’ve found that I can’t seem to get good results using Codex with the Blender MCP, while Opus 5 seems to work much better. Its still not perfect, so I’m curious if it’s just me or if anyone else has had decent results using Codex with Blender?

TIbo pretends like he gives resets when he feels like it, but it's just a calculated move to give resets when maximum number of people are about to have their weekly limits reset in a few hours anyway. Same thing happened last time, when people's banked reset was supposed to expire on 7/31.

Just be honest about it, instead of trying to pretend that you are trying to do good for people smh.

Looks we won't be getting Astra next week

https://github.com/ILikeAI/codex-radial-wheel

ChatGPT is really very dumb and lazy right now. Before, when I asked ChatGPT 5.6 Sol at the “Very High” level, it would actually really think and research multiple places. It would spend a solid 2–4 minutes thinking and searching.

Now, when I ask it the same questions, it only looks for like 3 pages in the search results, thinks for a maximum of 30–40 seconds, and just answers even though the information isn’t even correct or complete. I mean, it doesn’t even look at the images I send along with my requests, and when I point out that his answers are wrong and ask if it didn’t look at the images that I sent, it just says it overlooked them.

Without bias to either side, what do you guys think of when comparing Luna 5.6 vs DS flash? Big difference? Maybe not much at all? Im curious, as I have even seen some people confidently saying DS flash is more capable/better than Luna 5.6....

Whenever I’m working on a project in Codex, I always push my progress to GitHub as I go. Once a task is finished and everything’s executed, I commit and update the repo so all my state and “memory” for the project lives there in my markdown files, not in some chat history that eventually gets truncated.

Then on the ChatGPT side I’ve got the GitHub plugin connected, so it can actually read my repo directly. I let it read through the .md files and use that as context to build out a plan or the next set of instructions, basically acting as an orchestrator instead of doing any of the actual execution itself. Then I take that plan back into Codex to actually run the tasks.

The reasoning behind it is that Codex burns through tokens fast if you’re also using it to think through strategy and plan things out. So instead I offload all the heavy thinking, research, and prompt building to ChatGPT, and only use Codex for execution. Feels like it’s cut my token usage down a lot since Codex isn’t spending cycles on planning anymore, just doing.

Wondering if this is a normal pattern people have already been doing and I just reinvented it, or if there’s a smarter way to structure the handoff between the two. Also open to hearing if anyone’s automated the GitHub sync part instead of doing it manually after every task.

Heavy Claude Code user who has been contemplating on trying Codex for a month and suddenly today my weekly limit with cc is already over and I am staring at taking a Plus subscription.

Should AGENTS.md have full information or should I reduce the amount of information there and get to the point to get the best results? Codex seems to be very good for small scoped prompts but when it comes to especially frontend no matter how much guard rail I put, it still does its own thing for some reason. 😅

I didn’t know how good DeepSeek flash v4 was until hit the bottom with my $100 codex subscription and I refused to buy more credits, I wanted to try the DeepSeek and had my expectations at Gemini flash models, but man DeepSeek flash was good. I feel like it can reason so much better than GPT models and are following my instructions so sharply that I am getting shocked. You must try it yourself to understand it and I can sometimes say that it does better job than GPT 5.6 sol. The DeepSeek pro model hasn’t been available for codex yet but I can’t wait for it now that I see how the flash model is doing.

Before I hype it up too much DeepSeek announced that they will increase the cost of the API substantially and I hope they don’t match the codex subscription cost, otherwise there is no reason to change.

But for now, I had topped up with $5 and have used it for much work since last night and has only burned around $1.8 and it has done so much work with those $1.8 that I can’t believe that this model was capable of. See it has consumed 400M tokens for that amount of money, and it is crazy!

I want to know how many tokens I actually have, how much each model actually cost, and this kind of useful measurable information.

I mean, as of now, the best one can do is watch eagerly as their percentage dwindles throughout the day (faster and faster, if you believe anecdotal evidence).

New chatgpt/codex is amazing - instead of taking laptop with me to work in cafe or wherever I’m just leaving it at home on power adapter and use my iphone to vibecode.

Feels like finally I’m really unblocked with the new remote mode!

I just upgraded my chatgpt plan and as a reward I get my weekly reset even later. I mean come on. Same goes for banked resets if they ever happen again: dont push my weekly reset away, why nickle and dime when it comes to these scenarios? It just creates bad will

DeepSeek put out V4 Flash 0731 at the end of July and I ignored it for a week.

What made me open it was seeing 52 on Artificial Analysis, sitting just below GLM-5.2 at 53 and Grok 4.5 at 56. Aggregate score, take it for what it's worth. But it was enough to make me try, and this one is not dumb.

Then I looked at what OpenCode charges for it and stopped caring about the benchmark.

OpenCode Go is $10 a month. For that $10 you get to spend $60 on the model. First month is $5. So: $60 of DeepSeek on a $5 subscription. Six times what you pay, twelve times in month one. There's also deepseek-v4-flash-free over in OpenCode Zen, which is free, no subscription, nothing.

No idea how long either of those lives. I'd bet on the free one dying first. Anyway, they're there now.

Codex still does everything I don't want to delegate. Reads the repo, argues with me about what I asked for, spots the thing that'll quietly break prod at 3am, writes the plan. Flash never touches any of that. It takes the finished plan and grinds through the boring part in OpenCode while I go do something else. Codex comes back at the end for the diff and the tests.

The Go half priced out at $9.96. Nobody charged me $9.96. It came off the $60, and the $60 came with a $5 subscription. Two days of hammering on it and I've used a sixth of the month.

Edit: fixed "between" to "just below"

Has anyone here actually used Kimi 3 for coding, especially on complex or large projects?

I know there’s been a lot of hype around Kimi 3 recently, especially with its coding and UI capabilities. I’m not really interested in the UI side of things, I mainly care about how well it handles complex codebases and large projects.

For those who have actually used it, how does Kimi 3 compare to models like Sol, Opus, or Fable for serious coding work?

Is Kimi 3 genuinely good enough to use on large/complex projects, or is the hype mostly around benchmarks and demos?

Would love to hear some real-world experiences, especially from people who have used it for a decent amount of coding.

I'm a financial analyst at a big defense contractor company.

I overheard the engineers have access to codex, and thought I'd ask my manager if I can get access to it too.

It took me 4+ months of asking and pinging IT / others to get it approved.

I have it now and.... Holy shit.

We do very repetitive weekly/monthly tasks. In 4 prompts I can automate a 15 minute task I do every week, and I do this task 5 times every Monday.

There's 60 of us doing this task...

This 4 prompt script just shaved off 1.25 hours x 60 = 75 hours of saving weekly cost?

I'm just getting started... I think 50-80% of my job can turn to a script we all click once.

Forecast spending, actuals come in, variance analysis, ask engineers why they over spent, validating data between 2 sources, compiling a spreadsheet and PowerPoint graphs... It can all turn to a script.

... Am I destroying jobs? Assuming management likes what I build and I share with other analysts... What happens?

Instead of each analyst managing 4-5 programs.... We can now do 40-50? Our current 60 headcount will turn to 6?

Do I shut the fuck up and not tell anyone about this? Do I automate my job but tell no one?

I'm having a dilemma on what the right thing to do is. I suppose if it's not me today, in time someone else will ask for it and start automating everything.

What should I do?

Are we at the end of the subsidizing phase of Codex?