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When I talk to serious software engineers, they tell me everyone is sleeping on Codex + GPT 5.2 from OpenAI Which is why I was hyped to get an insiders "how to" from Alexander Embiricos product lead for Codex, showing us how he and the team use Codex to...

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48,102 просмотров • 7 месяцев назад •via X (Twitter)

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THE 64 MINUTE OPENAI CODEX MASTERCLASS IS HERE if you've been meaning to learn Codex, this is the episode for you, we cover: 1/ Claude vs Codex (what's better?) 2/How to run Claude Code inside Codex (really cool) 3/Why GPT 5.5 changed everything for browser agents 4/How to create skills (reusable agents you build once and call by name forever) 5/How to connect Notion with surgical permissions (one database, not the whole workspace) 6/How to use Remotion inside Codex to create videos 7/ How to one-shot full mobile apps in Swift 8/The 4 projects to run on day one to get up to speed fast shoutout to Riley Brown for coming onto The Startup Ideas Podcast (SIP) 🧃 for the 5th time. every episode he delivers. this one is the Codex masterclass. if you've been meaning to learn Codex, this is the episode. 100% free i just want to see you build your ideas. watch
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THE 64 MINUTE OPENAI CODEX MASTERCLASS IS HERE if you've been meaning to learn Codex, this is the episode for you, we cover: 1/ Claude vs Codex (what's better?) 2/How to run Claude Code inside Codex (really cool) 3/Why GPT 5.5 changed everything for browser agents 4/How to create skills (reusable agents you build once and call by name forever) 5/How to connect Notion with surgical permissions (one database, not the whole workspace) 6/How to use Remotion inside Codex to create videos 7/ How to one-shot full mobile apps in Swift 8/The 4 projects to run on day one to get up to speed fast shoutout to Riley Brown for coming onto The Startup Ideas Podcast (SIP) 🧃 for the 5th time. every episode he delivers. this one is the Codex masterclass. if you've been meaning to learn Codex, this is the episode. 100% free i just want to see you build your ideas. watch

GREG ISENBERG

199,575 просмотров • 3 месяцев назад

🚨 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 📧

145,487 просмотров • 1 год назад

People keep saying GPT-5.5 + Codex mogs Claude Code. So I got OpenAI PM Abhi Muchhal to show me exactly how to use Codex like a pro: 03:48 - What Codex unlocks for PM work 05:34 - How he built his growth dashboard 11:32 - How to build in Codex with Playwright 14:52 - Moving away from PRDs to Codex prototypes 21:23 - 3 automations running before his day starts 28:37 - WhatsApp computer use demo setup 33:05 - Codex takes action inside WhatsApp 37:00 - Building a 1040 tax filing app in Codex 43:42 - What drove ChatGPT to 1B WAU 47:18 - ImageGen 2, the biggest ELO jump of any model 59:26 - How to break into OpenAI as a PM
1:07:06

People keep saying GPT-5.5 + Codex mogs Claude Code. So I got OpenAI PM Abhi Muchhal to show me exactly how to use Codex like a pro: 03:48 - What Codex unlocks for PM work 05:34 - How he built his growth dashboard 11:32 - How to build in Codex with Playwright 14:52 - Moving away from PRDs to Codex prototypes 21:23 - 3 automations running before his day starts 28:37 - WhatsApp computer use demo setup 33:05 - Codex takes action inside WhatsApp 37:00 - Building a 1040 tax filing app in Codex 43:42 - What drove ChatGPT to 1B WAU 47:18 - ImageGen 2, the biggest ELO jump of any model 59:26 - How to break into OpenAI as a PM

Aakash Gupta

106,261 просмотров • 2 месяцев назад

Three months ago, Codex was trash for knowledge work. Now it's my daily driver. I use it for writing, recruiting, deep engineering work, and everything in between. It even keeps me at inbox 0. I chatted with Every 🧱's head of growth Austin Austin Tedesco on Every 🧱's AI & I about what changed, and why he now spends 80% of his working time in the Codex desktop app too. We get into: - How Codex went from making Austin feel like an idiot to being the place he goes to get stuff done, including complex tasks like writing go-to-market plans using existing material from Slack, Notion, and meeting transcripts. - Why the Codex’s desktop app, which is faster and more reliable than Claude Desktop/Cowork, is the real differentiator. - How I source candidates with Codex by having it identify career arcs, not keywords—my go-to move is identifying organizations likely to teach the skills Every needs for a role, and then find candidates from that pool who have since gone on to work in AI. This is a must-watch for anyone who's wondering whether it’s finally time to give Codex a try. Watch below! Timestamps How Codex went from a tool for senior engineers to a daily driver for knowledge work: 00:00:57 How Claude Code proved that a great coding agent works for any knowledge work: 00:02:42 Austin's switch to Codex: 00:07:24 How Austin set up Codex with folders, keys, and reviewer agents: 00:13:48 Using Codex to brainstorm automations across Gmail, Slack, and Notion: 00:18:24 How Austin manages the human review step when Codex is drafting communications: 00:22:42 Using Codex to build specialized agents inspired by product executive Claire Vo: 00:28:54 Synthesizing meeting transcripts and Slack threads into a go-to-market plan: 00:31:09 Building a live KPI tracker in Notion that agents can read: 00:40:15 Using Codex for recruiting: 00:44:54
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Three months ago, Codex was trash for knowledge work. Now it's my daily driver. I use it for writing, recruiting, deep engineering work, and everything in between. It even keeps me at inbox 0. I chatted with Every 🧱's head of growth Austin Austin Tedesco on Every 🧱's AI & I about what changed, and why he now spends 80% of his working time in the Codex desktop app too. We get into: - How Codex went from making Austin feel like an idiot to being the place he goes to get stuff done, including complex tasks like writing go-to-market plans using existing material from Slack, Notion, and meeting transcripts. - Why the Codex’s desktop app, which is faster and more reliable than Claude Desktop/Cowork, is the real differentiator. - How I source candidates with Codex by having it identify career arcs, not keywords—my go-to move is identifying organizations likely to teach the skills Every needs for a role, and then find candidates from that pool who have since gone on to work in AI. This is a must-watch for anyone who's wondering whether it’s finally time to give Codex a try. Watch below! Timestamps How Codex went from a tool for senior engineers to a daily driver for knowledge work: 00:00:57 How Claude Code proved that a great coding agent works for any knowledge work: 00:02:42 Austin's switch to Codex: 00:07:24 How Austin set up Codex with folders, keys, and reviewer agents: 00:13:48 Using Codex to brainstorm automations across Gmail, Slack, and Notion: 00:18:24 How Austin manages the human review step when Codex is drafting communications: 00:22:42 Using Codex to build specialized agents inspired by product executive Claire Vo: 00:28:54 Synthesizing meeting transcripts and Slack threads into a go-to-market plan: 00:31:09 Building a live KPI tracker in Notion that agents can read: 00:40:15 Using Codex for recruiting: 00:44:54

Dan Shipper 📧

55,561 просмотров • 3 месяцев назад

"I ran a startup for 5 years. I thought we moved fast. Then I joined OpenAI—and realized I had no idea what fast actually meant." Head of Product for OpenAI's Codex Alexander Embiricos and I chat about: 🔸 How OpenAI built the Sora Android app (which hit #1) in just 18 days by using Codex 🔸 Codex growing 20x since August 🔸 How they're thinking about the dev bottleneck shifting from coding to reviewing AI-generated work 🔸 Why coding will be a core competency for every AI agent—because writing code is how agents use computers best 🔸 Why the bottleneck to AGI-level productivity isn’t model capability—it’s human typing speed 🔸 The vision of Codex, and how they plan to win Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Fin — The #1 AI agent for customer service: 🏆 Atlassian Jira Product Discovery — Confidence to build the right thing:
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"I ran a startup for 5 years. I thought we moved fast. Then I joined OpenAI—and realized I had no idea what fast actually meant." Head of Product for OpenAI's Codex Alexander Embiricos and I chat about: 🔸 How OpenAI built the Sora Android app (which hit #1) in just 18 days by using Codex 🔸 Codex growing 20x since August 🔸 How they're thinking about the dev bottleneck shifting from coding to reviewing AI-generated work 🔸 Why coding will be a core competency for every AI agent—because writing code is how agents use computers best 🔸 Why the bottleneck to AGI-level productivity isn’t model capability—it’s human typing speed 🔸 The vision of Codex, and how they plan to win Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Fin — The #1 AI agent for customer service: 🏆 Atlassian Jira Product Discovery — Confidence to build the right thing:

Lenny Rachitsky

334,422 просмотров • 8 месяцев назад

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeatable tasks.
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Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeatable tasks.

OpenAI

3,412,089 просмотров • 4 месяцев назад

I think you need to understand how cool and good the Codex sub-agent feature is. For example, here is the perfect task for parallel agents: cleaning and refactoring components based on a skill. So I ask Codex to split the work to speed things up.
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I think you need to understand how cool and good the Codex sub-agent feature is. For example, here is the perfect task for parallel agents: cleaning and refactoring components based on a skill. So I ask Codex to split the work to speed things up.

Thomas Ricouard

55,852 просмотров • 6 месяцев назад

“The only job left is to understand what you don't like, put it into words, and tell the AI.” Here’s my new episode with jason (DevEx at OpenAI) where he showed me how he uses Codex throughout his workday, including how to: → Set up a chief of staff for Slack and email → Turn past sessions into new AI skills → Give long-running projects verifiable goals Some example Codex use cases from Jason: “I want you to read the past week of Slack messages I’ve written and make a skill to figure out how to talk like me.” “Turn this thread into a heartbeat. I want you to check my emails, my Slack, my Linear, and tell me what I need to prioritize.” “Codex can find a booking ticket and check into the flight for me and text me the boarding pass to my phone.” Jason wrote the official OpenAI handbook on how to get the most out of Codex, so don’t miss this episode. 📌 Watch now: Thanks to our sponsors: Riverside: All-in-one AI studio for podcasts and video Google AI Studio: Build apps with Nano Banana, and more
0:30

“The only job left is to understand what you don't like, put it into words, and tell the AI.” Here’s my new episode with jason (DevEx at OpenAI) where he showed me how he uses Codex throughout his workday, including how to: → Set up a chief of staff for Slack and email → Turn past sessions into new AI skills → Give long-running projects verifiable goals Some example Codex use cases from Jason: “I want you to read the past week of Slack messages I’ve written and make a skill to figure out how to talk like me.” “Turn this thread into a heartbeat. I want you to check my emails, my Slack, my Linear, and tell me what I need to prioritize.” “Codex can find a booking ticket and check into the flight for me and text me the boarding pass to my phone.” Jason wrote the official OpenAI handbook on how to get the most out of Codex, so don’t miss this episode. 📌 Watch now: Thanks to our sponsors: Riverside: All-in-one AI studio for podcasts and video Google AI Studio: Build apps with Nano Banana, and more

Peter Yang

217,376 просмотров • 25 дней назад

.Natalia rode so hard for Claude Code we devoted an episode to how she was using it to automate her job running Every 📧’s consulting practice. Fast forward to five months later, and she rides just as hard for Codex. I had her back on AI & I to talk about what caused her to make the switch, including how she ran a prompt in Codex before bed and woke up to a finished, custom CRM tool. We get into: - Why she finds Codex easier to use than Claude Code - How she’s using loops in Codex to create customized tools that work exactly how she needs them to - Why the consulting team still pays for SaaS products like Attio and Asana even though they could vibe code their own versions - How she built an app to manage her father’s medical care in Codex - How knowledge work is evolving from sculpting to gardening, in which you develop the context and logic you need for an agent to execute for you This is a must-watch for anyone trying to figure out whether to build their own tools or buy real software—and what it takes to get an AI agent to run unsupervised for hours and nail the output. Watch below! Timestamps 1. Introduction: 00:01:05 2. How Natalia manages Claudie, the consulting team’s AI project manager: 00:02:35 3. Why the consulting team still pays for SaaS products: 00:04:55 4. Codex as a game changer : 00:11:47 5. Building personalized learning guides and illustrated explainers with AI: 00:14:55 6. Inside Natalia's AI-powered email triage system: 00:21:40 7. The shift from knowledge work as sculpting to knowledge work as gardening: 00:26:44 8. Using Codex to on-shot a custom CRM: 00:28:57 9. Using Codex to build an app that coordinates her father’s medical care: 00:33:16
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.Natalia rode so hard for Claude Code we devoted an episode to how she was using it to automate her job running Every 📧’s consulting practice. Fast forward to five months later, and she rides just as hard for Codex. I had her back on AI & I to talk about what caused her to make the switch, including how she ran a prompt in Codex before bed and woke up to a finished, custom CRM tool. We get into: - Why she finds Codex easier to use than Claude Code - How she’s using loops in Codex to create customized tools that work exactly how she needs them to - Why the consulting team still pays for SaaS products like Attio and Asana even though they could vibe code their own versions - How she built an app to manage her father’s medical care in Codex - How knowledge work is evolving from sculpting to gardening, in which you develop the context and logic you need for an agent to execute for you This is a must-watch for anyone trying to figure out whether to build their own tools or buy real software—and what it takes to get an AI agent to run unsupervised for hours and nail the output. Watch below! Timestamps 1. Introduction: 00:01:05 2. How Natalia manages Claudie, the consulting team’s AI project manager: 00:02:35 3. Why the consulting team still pays for SaaS products: 00:04:55 4. Codex as a game changer : 00:11:47 5. Building personalized learning guides and illustrated explainers with AI: 00:14:55 6. Inside Natalia's AI-powered email triage system: 00:21:40 7. The shift from knowledge work as sculpting to knowledge work as gardening: 00:26:44 8. Using Codex to on-shot a custom CRM: 00:28:57 9. Using Codex to build an app that coordinates her father’s medical care: 00:33:16

Dan Shipper 📧

25,701 просмотров • 1 месяц назад

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.
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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 просмотров • 4 месяцев назад

"We write very few specs on the Codex team. We're talking 10 bullet points and that's it." Here's my new episode with Alexander Embiricos and Romain Huet where they gave me an inside look at how OpenAI's Codex team operates: → Live demo: Building in seconds with Spark → How the team built the beautiful Codex app → How they ship without traditional specs and roadmaps Some quotes from Alex and Romain: "The fewer people you need in a room to do anything, the more pure every decision is." "Our designers write more code now than was written by an engineer six months ago." "I'm much less likely to read someone's resume than their ideas and what they've built." Thanks to our sponsors: Granola: The best AI meeting notes app I've ever used Linear: The AI agent platform for modern teams 📌 Watch now:
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"We write very few specs on the Codex team. We're talking 10 bullet points and that's it." Here's my new episode with Alexander Embiricos and Romain Huet where they gave me an inside look at how OpenAI's Codex team operates: → Live demo: Building in seconds with Spark → How the team built the beautiful Codex app → How they ship without traditional specs and roadmaps Some quotes from Alex and Romain: "The fewer people you need in a room to do anything, the more pure every decision is." "Our designers write more code now than was written by an engineer six months ago." "I'm much less likely to read someone's resume than their ideas and what they've built." Thanks to our sponsors: Granola: The best AI meeting notes app I've ever used Linear: The AI agent platform for modern teams 📌 Watch now:

Peter Yang

290,644 просмотров • 4 месяцев назад

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 просмотров • 2 месяцев назад

"You cannot walk from point A to B inside OpenAI without hearing Codex get mentioned." Here's my new episode with Rohan Varma (Codex PM) on how he uses Codex as his everything app to: → Prototype designs with Image Gen → Turn repeated work into automations → Turn project context into live Codex Sites → Use one Codex thread to manage others Some quotes from Rohan: "[Ask Codex] for something that seems 10x more ridiculous than you ever think it could do. And it probably can do 90% of it." "Over the course of the day, I'm probably doing 3-4x more than I would have without Codex." "For me, every time I do anything I basically think, could Codex have done this?" 📌 Watch now: Thanks to our sponsors: Wispr Flow: 4x faster than typing with your voice Riverside: All-in-one AI studio for podcasts and video
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"You cannot walk from point A to B inside OpenAI without hearing Codex get mentioned." Here's my new episode with Rohan Varma (Codex PM) on how he uses Codex as his everything app to: → Prototype designs with Image Gen → Turn repeated work into automations → Turn project context into live Codex Sites → Use one Codex thread to manage others Some quotes from Rohan: "[Ask Codex] for something that seems 10x more ridiculous than you ever think it could do. And it probably can do 90% of it." "Over the course of the day, I'm probably doing 3-4x more than I would have without Codex." "For me, every time I do anything I basically think, could Codex have done this?" 📌 Watch now: Thanks to our sponsors: Wispr Flow: 4x faster than typing with your voice Riverside: All-in-one AI studio for podcasts and video

Peter Yang

141,221 просмотров • 1 месяц назад

yesterday, at the Codex hackathon, i ended up solving this problem by building an MCP connector app that turns ChatGPT into Codex, sort of. 1. you get to use GPT-5.5 Pro by exposing your local dev environment to ChatGPT, so you can use 5.5 pro for planning and handover to codex to execute it 2. you get to 2x your rate limits, just like last month, because apparently ChatGPT and Codex have separate rate limits here is the quick demo
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yesterday, at the Codex hackathon, i ended up solving this problem by building an MCP connector app that turns ChatGPT into Codex, sort of. 1. you get to use GPT-5.5 Pro by exposing your local dev environment to ChatGPT, so you can use 5.5 pro for planning and handover to codex to execute it 2. you get to 2x your rate limits, just like last month, because apparently ChatGPT and Codex have separate rate limits here is the quick demo

waishnav

554,050 просмотров • 2 месяцев назад

OpenAI’s hottest app isn’t ChatGPT—it’s Codex. In the last few weeks alone, the Codex team shipped a desktop app, GPT-5.3 Codex (a new flagship model), and Spark, the fastest coding model I’ve ever used. Usage has grown fivefold since January and over a million people now use Codex weekly. Codex was also the app that OpenAI chose to run an ad for in the Super Bowl. I talked to Thibault (Tibo), head of Codex, and Andrew (Andrew Ambrosino), a member of technical staff who built the Codex app, for Every 📧’s AI & I about what OpenAI is building and how they’re using it internally. We get into: - Why they built a GUI instead of a terminal. Terminals work for quick tasks, they say, but feel limiting when you’re running multiple agents in parallel. The IDE, meanwhile, overwhelms users—and the Codex team wants the AI to dynamically decide which tools to show you for a given task. - How they’re teaching the model to read between the lines. Codex is great at following instructions, but optimize too hard in that direction, and it starts taking you literally—like copying a typo directly into the code. The team obsesses over this tradeoff, and is also introducing “personalities,” modes users can toggle between that control how blunt or supportive the model feels. - How OpenAI uses its own coding agent. Codex lets you schedule prompts to run on a recurring basis, and the team has dozens of automations running at all times. For example, one scans for merge conflicts every couple of hours so code is always ready to ship, and another picks a random file from the codebase multiple times a day and hunts for bugs no one would've gone looking for. - Why speed is a dimension of intelligence. OpenAI’s newest model (Spark) is so fast that they actually slow it down so you can read the output. They see the speed enabling three things: staying super in the flow, replacing brittle developer tools with intelligent ones that can adapt on the fly, and redirecting the model mid-task— especially with voice—so coding starts to feel more and more like a conversation. - Code review is the next bottleneck. Models can generate code faster than ever, but someone still has to verify that it works. The team is exploring a future where the model proves its own fix works—retracing the click path a user would take, screenshotting the results, and attaching the evidence to a pull request. This is a must-watch for anyone who uses AI coding agents—and is curious about the future of programming. Watch below! Timestamps: Introduction: 00:01:27 OpenAI’s evolving bet on its coding agent: 00:05:27 The choice to invest in a GUI (over a terminal): 00:09:42 The AI workflows that the Codex team relies on to ship: 00:20:38 Teaching Codex how to read between the lines: 00:26:45 Building affordances for a lightening fast model: 00:28:45 Why speed is a dimension of intelligence: 00:33:15 Code review is the next bottleneck for coding agents: 00:36:30 How the Codex team positions against the competition: 00:41:24
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OpenAI’s hottest app isn’t ChatGPT—it’s Codex. In the last few weeks alone, the Codex team shipped a desktop app, GPT-5.3 Codex (a new flagship model), and Spark, the fastest coding model I’ve ever used. Usage has grown fivefold since January and over a million people now use Codex weekly. Codex was also the app that OpenAI chose to run an ad for in the Super Bowl. I talked to Thibault (Tibo), head of Codex, and Andrew (Andrew Ambrosino), a member of technical staff who built the Codex app, for Every 📧’s AI & I about what OpenAI is building and how they’re using it internally. We get into: - Why they built a GUI instead of a terminal. Terminals work for quick tasks, they say, but feel limiting when you’re running multiple agents in parallel. The IDE, meanwhile, overwhelms users—and the Codex team wants the AI to dynamically decide which tools to show you for a given task. - How they’re teaching the model to read between the lines. Codex is great at following instructions, but optimize too hard in that direction, and it starts taking you literally—like copying a typo directly into the code. The team obsesses over this tradeoff, and is also introducing “personalities,” modes users can toggle between that control how blunt or supportive the model feels. - How OpenAI uses its own coding agent. Codex lets you schedule prompts to run on a recurring basis, and the team has dozens of automations running at all times. For example, one scans for merge conflicts every couple of hours so code is always ready to ship, and another picks a random file from the codebase multiple times a day and hunts for bugs no one would've gone looking for. - Why speed is a dimension of intelligence. OpenAI’s newest model (Spark) is so fast that they actually slow it down so you can read the output. They see the speed enabling three things: staying super in the flow, replacing brittle developer tools with intelligent ones that can adapt on the fly, and redirecting the model mid-task— especially with voice—so coding starts to feel more and more like a conversation. - Code review is the next bottleneck. Models can generate code faster than ever, but someone still has to verify that it works. The team is exploring a future where the model proves its own fix works—retracing the click path a user would take, screenshotting the results, and attaching the evidence to a pull request. This is a must-watch for anyone who uses AI coding agents—and is curious about the future of programming. Watch below! Timestamps: Introduction: 00:01:27 OpenAI’s evolving bet on its coding agent: 00:05:27 The choice to invest in a GUI (over a terminal): 00:09:42 The AI workflows that the Codex team relies on to ship: 00:20:38 Teaching Codex how to read between the lines: 00:26:45 Building affordances for a lightening fast model: 00:28:45 Why speed is a dimension of intelligence: 00:33:15 Code review is the next bottleneck for coding agents: 00:36:30 How the Codex team positions against the competition: 00:41:24

Dan Shipper 📧

15,588 просмотров • 6 месяцев назад

OpenAI just gave Codex a major upgrade. From a coding assistant into a workspace builder that can create interactive sites, apps, dashboards, planners, and review tools from plain work instructions. The most important new feature they released is "Sites". i.e. Codex can generate a hosted interactive workspace instead of only producing a document, spreadsheet, slide, or code file. OpenAI is also adding plugins for different jobs, so Codex knows how to help analysts, marketers, sales teams, product designers, investors, and bankers using the tools they already use. A data analyst might ask Codex to explain why sales dropped, then Codex could pull from data tools and create a dashboard. A sales team might ask Codex to prepare for a customer meeting, then Codex could collect account history, risks, follow-ups, and next steps into one shared page. The third feature is annotations, which means you can click a specific part of the result and ask Codex to fix only that part. Codex already reaches 5M weekly users, and OpenAI says 20% of them are now non-developers, with that group growing over 3x faster than developers.
0:43

OpenAI just gave Codex a major upgrade. From a coding assistant into a workspace builder that can create interactive sites, apps, dashboards, planners, and review tools from plain work instructions. The most important new feature they released is "Sites". i.e. Codex can generate a hosted interactive workspace instead of only producing a document, spreadsheet, slide, or code file. OpenAI is also adding plugins for different jobs, so Codex knows how to help analysts, marketers, sales teams, product designers, investors, and bankers using the tools they already use. A data analyst might ask Codex to explain why sales dropped, then Codex could pull from data tools and create a dashboard. A sales team might ask Codex to prepare for a customer meeting, then Codex could collect account history, risks, follow-ups, and next steps into one shared page. The third feature is annotations, which means you can click a specific part of the result and ask Codex to fix only that part. Codex already reaches 5M weekly users, and OpenAI says 20% of them are now non-developers, with that group growing over 3x faster than developers.

Rohan Paul

48,353 просмотров • 2 месяцев назад

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

20,624 просмотров • 22 дней назад

"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 просмотров • 1 месяц назад

The Most Comprehensive Codex tutorial on the internet right now even OpenAI's own team said it's one of the best in under 2 hours you'll learn how to use Codex + GPT-5.5 (imo the strongest combo available right now) from skill and plugin setup, to automated workflow building, to multi-threading practical demos if you're looking for the best practices for vibe coding, this is the one to watch big shoutout and respect to Riley Brown
1:43:13

The Most Comprehensive Codex tutorial on the internet right now even OpenAI's own team said it's one of the best in under 2 hours you'll learn how to use Codex + GPT-5.5 (imo the strongest combo available right now) from skill and plugin setup, to automated workflow building, to multi-threading practical demos if you're looking for the best practices for vibe coding, this is the one to watch big shoutout and respect to Riley Brown

Ronin

223,552 просмотров • 3 месяцев назад

A few weeks ago I put out a call for CEOs that are *actually* using AI, not just sending AI memos. Ofc Wade Foster (CEO Zapier) was the first to raise his hand. Wade is truly a AI-native CEO, and in this week's ep he shows us: - how to reverse engineer company culture from Granola transcripts - his Zapier interview rubric agent that gives structured feedback on every candidate - and how to use Grok (YES, grok!) to source talent If you're looking for non-technical, leadership focused use cases for AI - this is a must watch. This episode is brought to you by our amazing sponsor 🧠🤑 Brex - The intelligent finance platform built for founders Watch it here:
1:04

A few weeks ago I put out a call for CEOs that are *actually* using AI, not just sending AI memos. Ofc Wade Foster (CEO Zapier) was the first to raise his hand. Wade is truly a AI-native CEO, and in this week's ep he shows us: - how to reverse engineer company culture from Granola transcripts - his Zapier interview rubric agent that gives structured feedback on every candidate - and how to use Grok (YES, grok!) to source talent If you're looking for non-technical, leadership focused use cases for AI - this is a must watch. This episode is brought to you by our amazing sponsor 🧠🤑 Brex - The intelligent finance platform built for founders Watch it here:

claire vo 🖤

53,012 просмотров • 7 месяцев назад