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Did you know Codex agents can already talk to each other? 👀 There's a message board hiding in the Codex engine. I wired it into a test build to test it: agents share a thread, reply, push back, and agree on a plan. My bet is this is one...

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Developing Adventures

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13,005 görüntüleme • 1 gün önce •via X (Twitter)

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Mr-Quiyst profil fotoğrafı
Mr-Quiyst1 gün önce

Hmm. Looks really cool for development, but I'm not sure it replaces Muse for personal assistance. I'm looking forward to finding out though.

Developing Adventures profil fotoğrafı
Developing Adventures1 gün önce

Muse competitor needs to regular Chatgpt mode not in Codex IMO.

Mr-Quiyst profil fotoğrafı
Mr-Quiyst1 gün önce

100%. I want both.

Tak 🦞 profil fotoğrafı
Tak 🦞1 gün önce

🤯 this looks insane

Developing Adventures profil fotoğrafı
Developing Adventures1 gün önce

Are you be there for the Devday ? 👀

alex getman profil fotoğrafı
alex getman1 gün önce

Wow, nice find. You’re quite the detective.

Developing Adventures profil fotoğrafı
Developing Adventures1 gün önce

Haha! Just staying Curious 😁

Gates 🦞 profil fotoğrafı
Gates 🦞1 gün önce

Built this a few months ago..

Ilya Zelen' profil fotoğrafı
Ilya Zelen'1 gün önce

Looks like agent-teams-ai

Scott Persinger profil fotoğrafı
Scott Persinger1 gün önce

Very on brand for OpenAI agents to have a “secret message board” available

Deepu profil fotoğrafı
Deepu23 saat önce

woah that sounds amazing!

Milad profil fotoğrafı
Milad1 gün önce

agents agreeing on a plan is useful the harder part is how you check the plan before any of them starts changing code

Benzer Videolar

🚨 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!
44:33

🚨 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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Today, we launched browser use inside Codex to further close the build & verify loop for local development! Now, you can ask Codex to build your front end, and test it like a user would by clicking through the app. Codex sees everything a user sees through vision & checks the network/console logs to help debug & fix any issues that it finds. This change brings us closer to fully autonomous coding agents that delivers high quality and tested changes. Watch Codex test my app in the browser, catch & fix a real bug, and doing that loop again with a brand new feature.
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Today, we launched browser use inside Codex to further close the build & verify loop for local development! Now, you can ask Codex to build your front end, and test it like a user would by clicking through the app. Codex sees everything a user sees through vision & checks the network/console logs to help debug & fix any issues that it finds. This change brings us closer to fully autonomous coding agents that delivers high quality and tested changes. Watch Codex test my app in the browser, catch & fix a real bug, and doing that loop again with a brand new feature.

James Sun

226,907 görüntüleme • 5 ay önce

Codex /goal With Hermes Agent is life-changing. I updated my Hermes agent skill to give Codex a goal on the fly using Telegram and track each one of those codex goals in a Kanban board. It has been really insane to see and track Codex execute goals in the wild.
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Codex /goal With Hermes Agent is life-changing. I updated my Hermes agent skill to give Codex a goal on the fly using Telegram and track each one of those codex goals in a Kanban board. It has been really insane to see and track Codex execute goals in the wild.

Shubham Saboo

202,128 görüntüleme • 4 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

I don't know how other people work with remote agents when building iOS apps. But my best workflow is to ask Claude/Codex to implement a feature, create E2E test, record that test and show me in Quicktime. I check the video with VNC app then push to Testflight 👌
0:41

I don't know how other people work with remote agents when building iOS apps. But my best workflow is to ask Claude/Codex to implement a feature, create E2E test, record that test and show me in Quicktime. I check the video with VNC app then push to Testflight 👌

An Tran

18,775 görüntüleme • 7 ay önce

I made Claude Code and Codex talk to each other. No APIs. No special protocol. Just a terminal. smux lets agents create, read, and act on terminals. the terminal becomes a shared interface. this enables agent-to-agent communication. Now Claude Code and Codex can hold hands 🤝 Try it now ↓
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I made Claude Code and Codex talk to each other. No APIs. No special protocol. Just a terminal. smux lets agents create, read, and act on terminals. the terminal becomes a shared interface. this enables agent-to-agent communication. Now Claude Code and Codex can hold hands 🤝 Try it now ↓

shawn

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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

This is crazy, I can talk to OpenAI's realtime API, and it'll respond back with voice, and then help call Codex to help me code! Got curious about Codex and its realtime integration, and found codex's feature flag `realtime_conversation` integrated for the codex app-server. How it works: - launch codex app-server with realtime - connect a client to realtime through WebRTC voice connection - Codex app-server is also attached on the side - talk to realtime - realtime decides whether coding is needed, and responds back with events - Codex app-server takes these events and runs codex agent turns - codex writes code like your codex cli exp Keep in mind OpenAI hasn't released this officially, they're still actively working on it, I just created a fork. This is a completely new UX than the usual chat interface for agentic coding. For example, when the agent responds back in voice, it's actually faster for me to read the response, and I don't actually find voice response that useful unless it does so in the background. But image realtime working in the background, you can talk to it, realtime keeps track of the different agents working on your tasks and your status. More to come on demo side, i'll make a more polished version and include voice, but thought this was cool to share. You can see in the responses the distinction between my voice input, realtime response, and realtime calling Codex to do work!
0:28

This is crazy, I can talk to OpenAI's realtime API, and it'll respond back with voice, and then help call Codex to help me code! Got curious about Codex and its realtime integration, and found codex's feature flag `realtime_conversation` integrated for the codex app-server. How it works: - launch codex app-server with realtime - connect a client to realtime through WebRTC voice connection - Codex app-server is also attached on the side - talk to realtime - realtime decides whether coding is needed, and responds back with events - Codex app-server takes these events and runs codex agent turns - codex writes code like your codex cli exp Keep in mind OpenAI hasn't released this officially, they're still actively working on it, I just created a fork. This is a completely new UX than the usual chat interface for agentic coding. For example, when the agent responds back in voice, it's actually faster for me to read the response, and I don't actually find voice response that useful unless it does so in the background. But image realtime working in the background, you can talk to it, realtime keeps track of the different agents working on your tasks and your status. More to come on demo side, i'll make a more polished version and include voice, but thought this was cool to share. You can see in the responses the distinction between my voice input, realtime response, and realtime calling Codex to do work!

Matthew Lam

17,674 görüntüleme • 4 ay önce

Codex Monitor now fully supports the Codex collab feature; it can spawn any number of new agents at your request. Here is a demo! Orchestration is just a prompt and a bit of UI now!
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Codex Monitor now fully supports the Codex collab feature; it can spawn any number of new agents at your request. Here is a demo! Orchestration is just a prompt and a bit of UI now!

Thomas Ricouard

26,788 görüntüleme • 8 ay önce

If you're running multiple coding agents (Codex, Claude Code, Pi) at once, you're going to want to watch this. Herdr is a terminal multiplexer that actually understands your agents. Oh, and it has incredible mouse support. Bet I can convince you in 6 minutes:
6:36

If you're running multiple coding agents (Codex, Claude Code, Pi) at once, you're going to want to watch this. Herdr is a terminal multiplexer that actually understands your agents. Oh, and it has incredible mouse support. Bet I can convince you in 6 minutes:

Jilles Soeters

59,148 görüntüleme • 2 ay önce

i gave my AI employees one job. BUILD ME A $1B STARTUP. MAKE NO MISTAKES. it was literally as easy as selecting a few ai agents, adding them into the same workspace, and watching them interact with each other to build my company i did all this in an hour. you can too!
1:49

i gave my AI employees one job. BUILD ME A $1B STARTUP. MAKE NO MISTAKES. it was literally as easy as selecting a few ai agents, adding them into the same workspace, and watching them interact with each other to build my company i did all this in an hour. you can too!

joyce

13,687 görüntüleme • 4 ay önce

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.
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$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

2xnmore

12,894 görüntüleme • 5 ay önce

AI agents create great work, but it often stays buried in chat. I tested a Codex + Showly workflow: → Codex built the research page → Showly Drop created a temporary Preview → One link to review and share The agent creates the work. Showly gives you a link to review and share. Start free:
0:34

AI agents create great work, but it often stays buried in chat. I tested a Codex + Showly workflow: → Codex built the research page → Showly Drop created a temporary Preview → One link to review and share The agent creates the work. Showly gives you a link to review and share. Start free:

Liam | AI Tools & News

45,798 görüntüleme • 10 gün önce

Announcing Builder 2.0 We raised $67M to build collaborative coding for Claude and Codex - Start tasks from a local branch, Slack or Jira - Real-time collab between humans and agents - 100s of parallel agents code, test, review Reply "Builder" and I'll DM you 500 agent credits
0:52

Announcing Builder 2.0 We raised $67M to build collaborative coding for Claude and Codex - Start tasks from a local branch, Slack or Jira - Real-time collab between humans and agents - 100s of parallel agents code, test, review Reply "Builder" and I'll DM you 500 agent credits

Steve (Builder.io)

90,020,752 görüntüleme • 5 ay önce

"People assume prototyping requires writing code, but Image Gen is simply much faster." Rohan (Codex PM) showed me exactly how he does it: "I took a screenshot of the Codex composer where you can type in a new message. Then I asked Codex to use Image Gen to prototype 4-5 ideas to improve project selection. I can then ask it to take the first image and make a prototype of it on a Codex site. We usually think of Image Gen as useful for things like turning my hair blue. But it can create amazing digital mocks too." 📌 Full episode:
1:00

"People assume prototyping requires writing code, but Image Gen is simply much faster." Rohan (Codex PM) showed me exactly how he does it: "I took a screenshot of the Codex composer where you can type in a new message. Then I asked Codex to use Image Gen to prototype 4-5 ideas to improve project selection. I can then ask it to take the first image and make a prototype of it on a Codex site. We usually think of Image Gen as useful for things like turning my hair blue. But it can create amazing digital mocks too." 📌 Full episode:

Peter Yang

17,210 görüntüleme • 2 ay önce

Today's YouTube video is a guide to getting started with Buzz by Block and jack ! I explain what it is, how to install it, and how to use it. Watch as my agents on Codex and Claude work together to research and plan my next video! Looking forward to seeing how this project evolves
19:14

Today's YouTube video is a guide to getting started with Buzz by Block and jack ! I explain what it is, how to install it, and how to use it. Watch as my agents on Codex and Claude work together to research and plan my next video! Looking forward to seeing how this project evolves

tonbi

21,239 görüntüleme • 1 ay önce

After creating Remodex: Codex remote control for iOS I decided to chill a bit by building a browser sidebar inside Theo - t3.gg 's T3 Code You can open it with Cmd+Shift+B This software is so easy to "manipulate" and build upon Congrats to all the guys that put the work in it because it is great I certainly will be building more things with it For this one I decided to switch from the Codex App to the Codex CLI too just to see how it works And boy it was so good
0:20

After creating Remodex: Codex remote control for iOS I decided to chill a bit by building a browser sidebar inside Theo - t3.gg 's T3 Code You can open it with Cmd+Shift+B This software is so easy to "manipulate" and build upon Congrats to all the guys that put the work in it because it is great I certainly will be building more things with it For this one I decided to switch from the Codex App to the Codex CLI too just to see how it works And boy it was so good

Emanuele Di Pietro

38,905 görüntüleme • 6 ay önce

Buzz from jack is the future of AI It allows you to command an entire army of AI agents My Codex, Claude Code, Hermes, and OpenClaw agents all work together in one place to do mind blowing work In this video I cover how it works and how you can get 100x productivity from it:
19:04

Buzz from jack is the future of AI It allows you to command an entire army of AI agents My Codex, Claude Code, Hermes, and OpenClaw agents all work together in one place to do mind blowing work In this video I cover how it works and how you can get 100x productivity from it:

Alex Finn

501,562 görüntüleme • 1 ay önce

With all the buzz around the Codex App, OpenAI Developers quietly snuck out a new CLI update (0.94.0) as well. And boy is it an important update! Codex Plan mode is now officially released to the general audience! I am very excited about this one as it has a really strong prompt that is unlike any other plan mode I've personally used. Codex Plan mode doesn't necessarily just ask you 3 questions up front. It goes, collects context, asks questions, collects more context, asks more questions (sometimes), and then writes an incredibly high quality plan. It is my favorite implementation of plan mode thus far. It also comes with Codex's own version of "AskUserQuestion!" Although, it only works in Plan mode for now. They really need to allow people to use it in Code mode as well, but one win at a time. npm i -g @openai/codex Below is a demo of how it works. Let me know what you think!
2:15

With all the buzz around the Codex App, OpenAI Developers quietly snuck out a new CLI update (0.94.0) as well. And boy is it an important update! Codex Plan mode is now officially released to the general audience! I am very excited about this one as it has a really strong prompt that is unlike any other plan mode I've personally used. Codex Plan mode doesn't necessarily just ask you 3 questions up front. It goes, collects context, asks questions, collects more context, asks more questions (sometimes), and then writes an incredibly high quality plan. It is my favorite implementation of plan mode thus far. It also comes with Codex's own version of "AskUserQuestion!" Although, it only works in Plan mode for now. They really need to allow people to use it in Code mode as well, but one win at a time. npm i -g @openai/codex Below is a demo of how it works. Let me know what you think!

am.will

57,121 görüntüleme • 7 ay önce