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My Codex weekly limit just reset.. This time Sol doesn't get to touch the actual work. It plans, it verifies, it spawns the agents, that's it. Luna at max effort and DeepSeek do the grinding. We're running Luna from two places at once, the $10 OpenCode Go sub and...

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Ziwen

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38,411 görüntüleme • 1 ay önce •via X (Twitter)

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i recreated this with GPT 5.6 Sol & it costed me ~$5 only & 2 prompts >GPT 5.6 Sol Ultra as the main agent, admin & orchestrator >GPT 5.6 Luna Max as sub-agents >used the Codex app >used about 20% of my weekly limit on $100 plan ($100/4 * 20%) some bugs, and improvements would take another prompt but pretty good for $5!
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i recreated this with GPT 5.6 Sol & it costed me ~$5 only & 2 prompts >GPT 5.6 Sol Ultra as the main agent, admin & orchestrator >GPT 5.6 Luna Max as sub-agents >used the Codex app >used about 20% of my weekly limit on $100 plan ($100/4 * 20%) some bugs, and improvements would take another prompt but pretty good for $5!

anul agarwal

16,411 görüntüleme • 2 ay önce

Codex users: here's an amazing way to take advantage of the efficiency and capability of GPT-5.6 Luna Max. It's called 'sol-advisor'. 1. GPT-5.6 Sol High as orchestrator 2. GPT-5.6 Luna Max as implementer for routine tasks 3. GPT-5.6 Terra Max as implementer for complex tasks 4. Fresh GPT-5.6 Sol instance as reviewer A free and open-source plugin for Codex. Installation instructions below 👇 I dare you to install it, and tell me if you hit your weekly usage limits using 'sol-advisor'. I doubt you can.
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Codex users: here's an amazing way to take advantage of the efficiency and capability of GPT-5.6 Luna Max. It's called 'sol-advisor'. 1. GPT-5.6 Sol High as orchestrator 2. GPT-5.6 Luna Max as implementer for routine tasks 3. GPT-5.6 Terra Max as implementer for complex tasks 4. Fresh GPT-5.6 Sol instance as reviewer A free and open-source plugin for Codex. Installation instructions below 👇 I dare you to install it, and tell me if you hit your weekly usage limits using 'sol-advisor'. I doubt you can.

Dan McAteer

693,179 görüntüleme • 2 ay önce

🚨 codex, claude and grok users!! I have FINALLY tested this for YOU!!! the $20 subscriptions! Codex VS Claude VS Grok (Watch video for results) Claude Pro: - Opus 5.5 (max) - 10% Weekly limit = 115 Million tokens - 2 hr work - 5/10 Quality Codex Plus: - GPT-6 Sol (max) - 9% Weekly limit = 29 Million tokens - 69 min work - 7/10 Quality SuperGrok: - Grok 4.7 (xhigh) - 23% Weekly limit = 19 Million tokens - 36 min work - 6/10 Quality All the models were used at MAX!! (grok 4.7 at xhigh) The surprising thing is that with my calculations is that I am getting $4,000 worth of API usage with Claude pro 🤯 AND ALSO!!! DO NOT BUY SUPERGROK!!! 23% of weekly limit for only 19 Million tokens ONLY!! Codex is nerfed too... you are still getting only $330 of API usage monthly My opinion: For $20, GO WITH CLAUDE!! You can always use those 4x extra tokens to improve again and again NOTE: Please forgive the video quality, this is my first video ever... and I don't know editing. Just sharing info about all these AI subs. Hope it helps 🙂
3:27

🚨 codex, claude and grok users!! I have FINALLY tested this for YOU!!! the $20 subscriptions! Codex VS Claude VS Grok (Watch video for results) Claude Pro: - Opus 5.5 (max) - 10% Weekly limit = 115 Million tokens - 2 hr work - 5/10 Quality Codex Plus: - GPT-6 Sol (max) - 9% Weekly limit = 29 Million tokens - 69 min work - 7/10 Quality SuperGrok: - Grok 4.7 (xhigh) - 23% Weekly limit = 19 Million tokens - 36 min work - 6/10 Quality All the models were used at MAX!! (grok 4.7 at xhigh) The surprising thing is that with my calculations is that I am getting $4,000 worth of API usage with Claude pro 🤯 AND ALSO!!! DO NOT BUY SUPERGROK!!! 23% of weekly limit for only 19 Million tokens ONLY!! Codex is nerfed too... you are still getting only $330 of API usage monthly My opinion: For $20, GO WITH CLAUDE!! You can always use those 4x extra tokens to improve again and again NOTE: Please forgive the video quality, this is my first video ever... and I don't know editing. Just sharing info about all these AI subs. Hope it helps 🙂

shownotover

83,333 görüntüleme • 8 gün önce

Command Code is now in Codex!! The plan we're on is $1 a month. It comes with $10 of credits and around 15K requests. GPT-5.6 Luna is in it, the same model we just moved to when the OpenCode sub got cut, and Grok 4.5 sits in there too next to DeepSeek, Kimi, GLM and MiniMax. Their own docs say the $1 tier has no API access. It's in our picker anyway. So there's a dollar sub in there next to everything else now. Next time a limit hits mid loop we grab it and keep going.
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Command Code is now in Codex!! The plan we're on is $1 a month. It comes with $10 of credits and around 15K requests. GPT-5.6 Luna is in it, the same model we just moved to when the OpenCode sub got cut, and Grok 4.5 sits in there too next to DeepSeek, Kimi, GLM and MiniMax. Their own docs say the $1 tier has no API access. It's in our picker anyway. So there's a dollar sub in there next to everything else now. Next time a limit hits mid loop we grab it and keep going.

Ziwen

122,232 görüntüleme • 1 ay önce

Codexers: Multi-agent v2 now supports GPT-5.6 Luna. You can use Luna Max as a native sub-agent in Codex and benefit from the incredible price/performance ratio. 'sol-advisor' just shipped support for this. Free and open-source 👇
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Codexers: Multi-agent v2 now supports GPT-5.6 Luna. You can use Luna Max as a native sub-agent in Codex and benefit from the incredible price/performance ratio. 'sol-advisor' just shipped support for this. Free and open-source 👇

Dan McAteer

92,826 görüntüleme • 1 ay önce

🚨codex users!!!! I tested GPT-6 Sol on $20 plan I set the effort to "MAX" I am NOT happy with the results - 15 Million tokens - 7% weekly limit used - $4.21 API cost - 35 minutes of work So... you are getting 857 Million tokens of GPT-6 Sol And wierd part is... only $250 API usage / month?? Claude was $1100 / month with Opus 5 at Max at $20 sub AND Again!! IT IS EXTREMELY SLOW!!! it did NOT complete the task!! I specifically mentioned it to test in THIS SPECIFIC way it only tested "builds" and called it a day Tbh, this is my 4th test with Codex... and I'd prefer Claude (with Opus 5) NOTE: This was a test, I don't use gpt-6 or Opus 5.5 on max for my own workflows... this just shows how much you are getting in "tokens" for the "price" you are paying.
1:00

🚨codex users!!!! I tested GPT-6 Sol on $20 plan I set the effort to "MAX" I am NOT happy with the results - 15 Million tokens - 7% weekly limit used - $4.21 API cost - 35 minutes of work So... you are getting 857 Million tokens of GPT-6 Sol And wierd part is... only $250 API usage / month?? Claude was $1100 / month with Opus 5 at Max at $20 sub AND Again!! IT IS EXTREMELY SLOW!!! it did NOT complete the task!! I specifically mentioned it to test in THIS SPECIFIC way it only tested "builds" and called it a day Tbh, this is my 4th test with Codex... and I'd prefer Claude (with Opus 5) NOTE: This was a test, I don't use gpt-6 or Opus 5.5 on max for my own workflows... this just shows how much you are getting in "tokens" for the "price" you are paying.

shownotover

82,881 görüntüleme • 9 gün önce

🚨 codex users!! PLEASE DO NOT BUY CODEX!! I have $20 codex I used GPT-6 Astra of Max I asked it: "Here is the project, create a promo video. Give me your best" and disabled all the skills Now... the results are... BAD: - 2.4 Million tokens ONLY!!!! - 14% weekly limit used (98% of 5 hr limit) - 29 minutes of work - $5.7 API usage!!! This is absurd!! Only ~$40 of usage weekly?? Claude gave me 40 Million tokens for 13% weekly!!! And the output?? Unnecessary object and off-grid placements of bars... I can't use it Needs a LOT of work ngl I'd highly recommend switching to claude right now (for this month) NOTE: I used "max" because this is completely logical stuff... so it had to think to its max capabilities
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🚨 codex users!! PLEASE DO NOT BUY CODEX!! I have $20 codex I used GPT-6 Astra of Max I asked it: "Here is the project, create a promo video. Give me your best" and disabled all the skills Now... the results are... BAD: - 2.4 Million tokens ONLY!!!! - 14% weekly limit used (98% of 5 hr limit) - 29 minutes of work - $5.7 API usage!!! This is absurd!! Only ~$40 of usage weekly?? Claude gave me 40 Million tokens for 13% weekly!!! And the output?? Unnecessary object and off-grid placements of bars... I can't use it Needs a LOT of work ngl I'd highly recommend switching to claude right now (for this month) NOTE: I used "max" because this is completely logical stuff... so it had to think to its max capabilities

shownotover

56,183 görüntüleme • 5 gün önce

Many of us burned over 80% of our Codex usage in a single day. Stop whatever you're running right now. Astra at the top is what's eating it. Every plan, every review, all day, on the most expensive model you have. So let's flip it. Put DeepSeek V4.1 Flash on top as the orchestrator by running off OpenCode Go or Command Code connect it into codex then spawn Astra as a subagent only for the one task that actually needs it. Let's max out of what's left.
0:33

Many of us burned over 80% of our Codex usage in a single day. Stop whatever you're running right now. Astra at the top is what's eating it. Every plan, every review, all day, on the most expensive model you have. So let's flip it. Put DeepSeek V4.1 Flash on top as the orchestrator by running off OpenCode Go or Command Code connect it into codex then spawn Astra as a subagent only for the one task that actually needs it. Let's max out of what's left.

Ziwen

69,260 görüntüleme • 19 gün önce

Okay… DeepSeek V4 Flash actually COOKED 😭 With OpenCode, I’d place it around GPT-5.6 Terra Max—and definitely above Luna Max in this test. Almost unlimited usage for around €9, by the way. This model is a MASSIVE success. Just don’t use the wrong harness.
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Okay… DeepSeek V4 Flash actually COOKED 😭 With OpenCode, I’d place it around GPT-5.6 Terra Max—and definitely above Luna Max in this test. Almost unlimited usage for around €9, by the way. This model is a MASSIVE success. Just don’t use the wrong harness.

OmedTheVibeCoder

35,417 görüntüleme • 2 ay önce

To celebrate the Codex app, we're launching a promo: - Doubled Codex rate limits for all paid plans (2 months) - Access for ChatGPT Free and Go Plans (1 month) Check it out at
2:12

To celebrate the Codex app, we're launching a promo: - Doubled Codex rate limits for all paid plans (2 months) - Access for ChatGPT Free and Go Plans (1 month) Check it out at

Alexander Embiricos

332,787 görüntüleme • 8 ay önce

DeepSeek can see now in Codex!! Two days ago that was the only thing our router couldn't do. DeepSeek's API is still text only, so we stopped waiting and built it into the router ourselves. Drop a screenshot into Codex, same picker, same model, it reads it now!!!
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DeepSeek can see now in Codex!! Two days ago that was the only thing our router couldn't do. DeepSeek's API is still text only, so we stopped waiting and built it into the router ourselves. Drop a screenshot into Codex, same picker, same model, it reads it now!!!

Ziwen

70,673 görüntüleme • 1 ay önce

I just built an entire app in 7 minutes using Codex Spark. EveryMCP: a universal MCP server installer that configures 15+ coding agents from a single CLI command. 12 Codex Spark subagents. All running in parallel. At the same time. The project itself isn't complicated, but just imagine what this looks like when you scale the complexity. My setup: • Codex 5.3 High to plan • Codex 5.3 Medium to orchestrate • 12 Codex Spark agents (xhigh) to implement in one shot Spark isn't competing with the big models. It's a different tool entirely. You orchestrate it. You run it in swarms. And it moves at a speed that wasn't possible before, even for the top 1% of AI coders. More complex workflows coming soon. Comment below if you want me to tell you how I did it.
4:29

I just built an entire app in 7 minutes using Codex Spark. EveryMCP: a universal MCP server installer that configures 15+ coding agents from a single CLI command. 12 Codex Spark subagents. All running in parallel. At the same time. The project itself isn't complicated, but just imagine what this looks like when you scale the complexity. My setup: • Codex 5.3 High to plan • Codex 5.3 Medium to orchestrate • 12 Codex Spark agents (xhigh) to implement in one shot Spark isn't competing with the big models. It's a different tool entirely. You orchestrate it. You run it in swarms. And it moves at a speed that wasn't possible before, even for the top 1% of AI coders. More complex workflows coming soon. Comment below if you want me to tell you how I did it.

am.will

16,916 görüntüleme • 7 ay önce

🚨 codex users!! I tested GPT-6.1 Sol at max and.... it is BAD I gave it a prompt to create a motion graphics video it used: - 2% weekly limit (15% 5 hr limit) - 1.7 Million tokens - 58 minutes of work - $1.8 API usage So... the model is EXTREMELY efficient and usage for GPT-6.1 Sol is "better" You are getting 370 Million tokens in total per month!! and a total of $360 worth of API usage And ALSO speed and quality is so "low" that you'd better use Astra or get a $20 Claude Pro for Sonnet 5.5 Opus 5.5 did a LOT better than this video Your choice now. Imma go with Claude tbh
0:30

🚨 codex users!! I tested GPT-6.1 Sol at max and.... it is BAD I gave it a prompt to create a motion graphics video it used: - 2% weekly limit (15% 5 hr limit) - 1.7 Million tokens - 58 minutes of work - $1.8 API usage So... the model is EXTREMELY efficient and usage for GPT-6.1 Sol is "better" You are getting 370 Million tokens in total per month!! and a total of $360 worth of API usage And ALSO speed and quality is so "low" that you'd better use Astra or get a $20 Claude Pro for Sonnet 5.5 Opus 5.5 did a LOT better than this video Your choice now. Imma go with Claude tbh

shownotover

29,342 görüntüleme • 2 gün önce

We just launched Agentsky AgentSky, world’s 1st Agent Market! OpenRouter is for models. AgentSky is for agents. Use 40+ agents—Claude Code, Codex, OpenCode, Hermes, Pi in your browser(even your phone!) or via one API. All without installing or setting up anything. Hit Codex Astra’s weekly limit? Hand off to another agent such as OpenCode + DeepSeek V4.1 in browser without losing any context. You can compare any agent + model directly in browser and that's how I found Astra costs $5.3 while deepseek v4.1 cost $0.12 on the same dashboard task. (I actually preferred deepseek) Try it at If you can try any agent easily without install, which agent do you want to try next? Type the agent name and I will give $20 credit (you can use it for any model)
1:17

We just launched Agentsky AgentSky, world’s 1st Agent Market! OpenRouter is for models. AgentSky is for agents. Use 40+ agents—Claude Code, Codex, OpenCode, Hermes, Pi in your browser(even your phone!) or via one API. All without installing or setting up anything. Hit Codex Astra’s weekly limit? Hand off to another agent such as OpenCode + DeepSeek V4.1 in browser without losing any context. You can compare any agent + model directly in browser and that's how I found Astra costs $5.3 while deepseek v4.1 cost $0.12 on the same dashboard task. (I actually preferred deepseek) Try it at If you can try any agent easily without install, which agent do you want to try next? Type the agent name and I will give $20 credit (you can use it for any model)

Xiaoyin Qu

2,711,730 görüntüleme • 14 gün önce

Codex tip: once GPT-6.1 Sol is your main model, stop running Astra on every turn put Astra on call as an architect agent GPT-6.1 Sol keeps writing the code Astra only gets spawned at three points: → before a plan: is this the right approach? → when the same error comes back: am I digging in the wrong place? → before "done": what did I miss? Astra reviews. Sol ships Jev engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to Jev in under half a second, and the big models only see the ones that split - the full tree > GPT-6.1 Sol on high runs the main session > explorer reads the code on Luna > worker edits and runs tests on Sol > researcher pulls the docs on Luna > all three on medium > Astra on call as the architect > auto_review checks every approval paste the tree and this prompt into Codex ↓ "Rebuild my Codex setup around this tree: 1. Check ~/.codex/agents and .codex/agents for agents that already fit explorer, worker and researcher. > Draft new TOML files only for missing roles > explorer and researcher on gpt-6-luna, worker on gpt-6.1-sol, all with model_reasoning_effort medium > Add an architect agent on gpt-6-astra, model_reasoning_effort high, whose only job is reviewing plans, repeated errors and finished work > Skip any that pin a different model and list them 2. In ~/.codex/config.toml set model to gpt-6.1-sol, model_reasoning_effort to high and approvals_reviewer to auto_review 3. Find anything that would override this (active profiles, flags in my shell aliases, agents.default_subagent_model). Report it, change nothing 4. Add one rule to AGENTS.md: spawn the architect before a large plan, when an error repeats, and before calling a long task done Show me every change as a diff first. No edits until I say go." ↳
0:29

Codex tip: once GPT-6.1 Sol is your main model, stop running Astra on every turn put Astra on call as an architect agent GPT-6.1 Sol keeps writing the code Astra only gets spawned at three points: → before a plan: is this the right approach? → when the same error comes back: am I digging in the wrong place? → before "done": what did I miss? Astra reviews. Sol ships Jev engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to Jev in under half a second, and the big models only see the ones that split - the full tree > GPT-6.1 Sol on high runs the main session > explorer reads the code on Luna > worker edits and runs tests on Sol > researcher pulls the docs on Luna > all three on medium > Astra on call as the architect > auto_review checks every approval paste the tree and this prompt into Codex ↓ "Rebuild my Codex setup around this tree: 1. Check ~/.codex/agents and .codex/agents for agents that already fit explorer, worker and researcher. > Draft new TOML files only for missing roles > explorer and researcher on gpt-6-luna, worker on gpt-6.1-sol, all with model_reasoning_effort medium > Add an architect agent on gpt-6-astra, model_reasoning_effort high, whose only job is reviewing plans, repeated errors and finished work > Skip any that pin a different model and list them 2. In ~/.codex/config.toml set model to gpt-6.1-sol, model_reasoning_effort to high and approvals_reviewer to auto_review 3. Find anything that would override this (active profiles, flags in my shell aliases, agents.default_subagent_model). Report it, change nothing 4. Add one rule to AGENTS.md: spawn the architect before a large plan, when an error repeats, and before calling a long task done Show me every change as a diff first. No edits until I say go." ↳

delost

658,759 görüntüleme • 2 gün önce

I replaced my $200/mo chatgpt with this $10/mo setup the setup: opencode go ($10/mo) + deepseek harness ($0/mo) deepseek harness just crossed 106,000+ stars in just 45 hours so this guy mapped the entire deepseek-v4 agentic workflows into 9 diagrams → the council, the assembly line, the skeleton crew, the orchestrator, the tracker + the 4 optional builds →every one flow-mapped, numbered, editable in excalidraw → each paired with the exact cordis rows that run it and the check that proves it worked plus this is all free. send all the screenshots to your AI agents... that's the new workflow
1:17

I replaced my $200/mo chatgpt with this $10/mo setup the setup: opencode go ($10/mo) + deepseek harness ($0/mo) deepseek harness just crossed 106,000+ stars in just 45 hours so this guy mapped the entire deepseek-v4 agentic workflows into 9 diagrams → the council, the assembly line, the skeleton crew, the orchestrator, the tracker + the 4 optional builds →every one flow-mapped, numbered, editable in excalidraw → each paired with the exact cordis rows that run it and the check that proves it worked plus this is all free. send all the screenshots to your AI agents... that's the new workflow

Avid

51,723 görüntüleme • 1 ay önce

GPT Image 2 + Codex: or how to make Codex not suck at UI. Step 1: Generate a UI image (native in Codex) Step 2: Get Codex to implement the UI based on it Step 3: Get Codex to iterate until it aligns with the image as much as possible Codex is bad at initial UI, but very good at implementing a reference design, so this is your way out - iterate with the image model first and then Codex will do a good job.
0:37

GPT Image 2 + Codex: or how to make Codex not suck at UI. Step 1: Generate a UI image (native in Codex) Step 2: Get Codex to implement the UI based on it Step 3: Get Codex to iterate until it aligns with the image as much as possible Codex is bad at initial UI, but very good at implementing a reference design, so this is your way out - iterate with the image model first and then Codex will do a good job.

Peter Gostev

67,245 görüntüleme • 5 ay önce

Three skills I use every day in Claude Code and Codex to solve my hardest problems: 1️⃣ /agent-watchdog When I have one agent like Codex working on a task and I don't fully trust it's going to do everything right, I'll open up another one like Claude Code and tell it to watchdog the Codex thread. You can copy the Codex deep link into Claude Code and it'll look at the prompt you sent, watch the Codex thread until it's done, then compare the Codex solution to how it was planning to solve it and automatically fix anything that Codex missed. It can also test the work of the other agent end-to-end. Similar to the idea of OpenRouter's new Fusion feature, I've definitely found that two models thinking through a problem and checking each other's work can be wildly more impactful than just one. 2️⃣ /plan-arbiter Similar ideas as /agent-watchdog - but with this one you have both make plans, compare plans, negotiate the differences, and make a final plan to execute. I find Claude Code is better at writing plans, but Codex is faster and cheaper to execute on them. Then I usually have Claude Code watchdog the Codex work and fix anything that was missed. 3️⃣ /read-the-damn-docs One thing that drives me crazy with coding agents is they're so reluctant to look up docs. They'll just guess and guess and guess at the right API surface for things, or the right solution to an integration of two things. Once I explicitly tell it to look up the docs, it says "Oh, I see the answer," and it fixes the problem. So I made the /read-the-damn-docs skill. Add it and your agents will know when and how to do efficient web searches to look up docs for the types of problems you really should look up docs for. All of these are totally open source over on my GitHub. If you try them, let me know your feedback. Will link to them below:
1:21

Three skills I use every day in Claude Code and Codex to solve my hardest problems: 1️⃣ /agent-watchdog When I have one agent like Codex working on a task and I don't fully trust it's going to do everything right, I'll open up another one like Claude Code and tell it to watchdog the Codex thread. You can copy the Codex deep link into Claude Code and it'll look at the prompt you sent, watch the Codex thread until it's done, then compare the Codex solution to how it was planning to solve it and automatically fix anything that Codex missed. It can also test the work of the other agent end-to-end. Similar to the idea of OpenRouter's new Fusion feature, I've definitely found that two models thinking through a problem and checking each other's work can be wildly more impactful than just one. 2️⃣ /plan-arbiter Similar ideas as /agent-watchdog - but with this one you have both make plans, compare plans, negotiate the differences, and make a final plan to execute. I find Claude Code is better at writing plans, but Codex is faster and cheaper to execute on them. Then I usually have Claude Code watchdog the Codex work and fix anything that was missed. 3️⃣ /read-the-damn-docs One thing that drives me crazy with coding agents is they're so reluctant to look up docs. They'll just guess and guess and guess at the right API surface for things, or the right solution to an integration of two things. Once I explicitly tell it to look up the docs, it says "Oh, I see the answer," and it fixes the problem. So I made the /read-the-damn-docs skill. Add it and your agents will know when and how to do efficient web searches to look up docs for the types of problems you really should look up docs for. All of these are totally open source over on my GitHub. If you try them, let me know your feedback. Will link to them below:

Steve (Builder.io)

43,089 görüntüleme • 3 ay önce

We can run DeepSeek for free in OpenCode now. Two things I didn't expect from VPR: DeepSeek ran free in OpenCode, Codex, Claude Code and everything else got cheaper without me changing anything. calls it a VPN for AI, which is close enough. You download it, it opens one local address, and you point whatever tool you already use at that address. Claude Code, Codex, OpenCode. They don't need to know anything changed. What's behind that address is an open market of 610+ models across 158+ providers, bidding. So the same model just costs less. MiniMax M3 is running 69% under list right now. Qwen3.7 Plus 64%. Claude Fable 5 at $6 instead of $10. No account. No email. No API key. You install it and start. Links below
1:05

We can run DeepSeek for free in OpenCode now. Two things I didn't expect from VPR: DeepSeek ran free in OpenCode, Codex, Claude Code and everything else got cheaper without me changing anything. calls it a VPN for AI, which is close enough. You download it, it opens one local address, and you point whatever tool you already use at that address. Claude Code, Codex, OpenCode. They don't need to know anything changed. What's behind that address is an open market of 610+ models across 158+ providers, bidding. So the same model just costs less. MiniMax M3 is running 69% under list right now. Qwen3.7 Plus 64%. Claude Fable 5 at $6 instead of $10. No account. No email. No API key. You install it and start. Links below

Ziwen

18,667 görüntüleme • 1 ay önce

🚨 OpenAI just launched Codex, a brand-new autonomous coding agent that can build features and fix bugs on its own. We’ve been using it Every 📧 for a few days, and I’m impressed. I invited Alexander Embiricos (ben davies), a member of the product staff responsible for Codex, to demo Codex and talk about it live on a special edition of AI & I: What Codex is and how it works Codex is designed to be used by senior engineers—it performs coding tasks like adding features or fixing bugs autonomously. It's built to allow you to start many sessions at once, so you can have multiple agents working in parallel. Codex is built to have "taste" OpenAI trained Codex to have the taste of a senior software engineer. It knows how big codebases work, how to write a good PR, and uses clean, minimal code. Why an “abundance mindset” is best for interacting with agents Codex is designed to allow users to delegate many tasks at once without getting caught up in the details. This lets you point an abundance of agents at a specific task like a difficult bug—it’s worth it even if only one of them succeeds. How OpenAI is thinking about agents Codex is one piece of a unified super-assistant OpenAI wants to eventually build—an agent that helps users easily get things done by selecting the right tools for them behind the scenes. OpenAI’s vision for the future of programming In the future developers will probably spend less time writing routine code and more time guiding agents, reviewing their work, and making strategy decisions. Programming will become more social, letting teams easily delegate multiple tasks at once, allowing people to focus on ideas and collaboration instead of routine coding. Watch below!
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🚨 OpenAI just launched Codex, a brand-new autonomous coding agent that can build features and fix bugs on its own. We’ve been using it Every 📧 for a few days, and I’m impressed. I invited Alexander Embiricos (ben davies), a member of the product staff responsible for Codex, to demo Codex and talk about it live on a special edition of AI & I: What Codex is and how it works Codex is designed to be used by senior engineers—it performs coding tasks like adding features or fixing bugs autonomously. It's built to allow you to start many sessions at once, so you can have multiple agents working in parallel. Codex is built to have "taste" OpenAI trained Codex to have the taste of a senior software engineer. It knows how big codebases work, how to write a good PR, and uses clean, minimal code. Why an “abundance mindset” is best for interacting with agents Codex is designed to allow users to delegate many tasks at once without getting caught up in the details. This lets you point an abundance of agents at a specific task like a difficult bug—it’s worth it even if only one of them succeeds. How OpenAI is thinking about agents Codex is one piece of a unified super-assistant OpenAI wants to eventually build—an agent that helps users easily get things done by selecting the right tools for them behind the scenes. OpenAI’s vision for the future of programming In the future developers will probably spend less time writing routine code and more time guiding agents, reviewing their work, and making strategy decisions. Programming will become more social, letting teams easily delegate multiple tasks at once, allowing people to focus on ideas and collaboration instead of routine coding. Watch below!

Dan Shipper 📧

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