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Codex is a monster with 2D games. But what is it worth with 3D and Three.js? 👀 Codex + GPT Image 2.0 + a crazy prompt = • playable 3D forest scene • humanoid character fully made of leaves 🍃 • dense foliage covering the whole body • third-person... show more

Givros

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60,609 просмотров • 2 месяцев назад •via X (Twitter)

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This is the best 2026 AI workflow for turning game ideas into playable prototypes: GPT Image 2.0 → reference image + tileset Codex + GPT-5.5 → my custom prompt Result → playable browser prototype I generated the Cozy Island Farm concept, turned the same visual direction into clean technical assets, then used one complete prompt to make it playable. Comment “Cozy Island Farm” and I’ll send you my custom prompt.

This is the best 2026 AI workflow for turning game ideas into playable prototypes: GPT Image 2.0 → reference image + tileset Codex + GPT-5.5 → my custom prompt Result → playable browser prototype I generated the Cozy Island Farm concept, turned the same visual direction into clean technical assets, then used one complete prompt to make it playable. Comment “Cozy Island Farm” and I’ll send you my custom prompt.

Givros

32,140 просмотров • 2 месяцев назад

The new 2026 AI workflow is going to destroy the old way of prototyping games. Workflow: GPT Image 2.0: cinematic + asset sheet Codex: “make this image playable” Prompt below 👇

The new 2026 AI workflow is going to destroy the old way of prototyping games. Workflow: GPT Image 2.0: cinematic + asset sheet Codex: “make this image playable” Prompt below 👇

Givros

36,214 просмотров • 2 месяцев назад

The new 2026 AI workflow 🤖⚡ GPT Image 2.0 → assets → Codex + GPT-5.5 → playable browser game 🎮 I turned my AI image into a web game. 🖼️ GPT Image 2 created the visual. 🎨 Codex generated the sprites and animations. 🕹️ GPT-5.5 built the prototype.

The new 2026 AI workflow 🤖⚡ GPT Image 2.0 → assets → Codex + GPT-5.5 → playable browser game 🎮 I turned my AI image into a web game. 🖼️ GPT Image 2 created the visual. 🎨 Codex generated the sprites and animations. 🕹️ GPT-5.5 built the prototype.

Givros

941,891 просмотров • 2 месяцев назад

Codex isn’t just a coding assistant anymore. It’s becoming a full AI game-dev workspace. 🦫🎮 For this project, Codex handled the workflow by using: 🖼️ GPT Image 2.0 for the visual direction, cards, enemies, and UI assets 🧠 GPT-5.5 for gameplay structure, systems, and iteration 💻 Codex to turn all of that into a real project From cozy capybara shrine images to a real turn-based card battle game. The 2026 AI game dev workflow is getting ridiculous. 🚀 Follow if you’re building games with AI. Want the full prompt I used for this? Comment “CAPYBARA” and I’ll share it.

Codex isn’t just a coding assistant anymore. It’s becoming a full AI game-dev workspace. 🦫🎮 For this project, Codex handled the workflow by using: 🖼️ GPT Image 2.0 for the visual direction, cards, enemies, and UI assets 🧠 GPT-5.5 for gameplay structure, systems, and iteration 💻 Codex to turn all of that into a real project From cozy capybara shrine images to a real turn-based card battle game. The 2026 AI game dev workflow is getting ridiculous. 🚀 Follow if you’re building games with AI. Want the full prompt I used for this? Comment “CAPYBARA” and I’ll share it.

Givros

70,115 просмотров • 2 месяцев назад

I made my own version by giving Codex the reference images. First, I gave it the Japanese voxel game concept. Then, I gave it the asset sheet. Codex created the game assets based on that asset sheet, then used them to build the playable browser game. Comment “voxels japanese prompt” if you want the prompt.👇

I made my own version by giving Codex the reference images. First, I gave it the Japanese voxel game concept. Then, I gave it the asset sheet. Codex created the game assets based on that asset sheet, then used them to build the playable browser game. Comment “voxels japanese prompt” if you want the prompt.👇

Givros

11,780 просмотров • 2 месяцев назад

Codex + GPT-Image-2 + Three.js = instant interactive 3D worlds 🌍

Codex + GPT-Image-2 + Three.js = instant interactive 3D worlds 🌍

Givros

40,225 просмотров • 2 месяцев назад

“Use the reference image named farm_voxel.png as the main visual guide. Create a playable-looking low-poly voxel agricultural farm diorama" This is the workflow I keep pushing: 1) GPT Image 2.0 for the visual base. 2) Codex with imagegen + GPT-5.5 for the build. 3) Three.js for the prototype. result: 🎬 Prompt below 👇

“Use the reference image named farm_voxel.png as the main visual guide. Create a playable-looking low-poly voxel agricultural farm diorama" This is the workflow I keep pushing: 1) GPT Image 2.0 for the visual base. 2) Codex with imagegen + GPT-5.5 for the build. 3) Three.js for the prototype. result: 🎬 Prompt below 👇

Givros

17,224 просмотров • 1 месяц назад

AI has entered the gaming space. We’ve gone from casually building websites to casually building games. This game was created using Verse8 , which is a cloud-native platform that turns text prompt into playable games. - Agent 8 is specialized for building 2D and 3D multiplayer games - It handles code, visuals, and sound - Everything runs in the browser, with instant publish and share Here are 6 examples and how you can try it 👇

AI has entered the gaming space. We’ve gone from casually building websites to casually building games. This game was created using Verse8 , which is a cloud-native platform that turns text prompt into playable games. - Agent 8 is specialized for building 2D and 3D multiplayer games - It handles code, visuals, and sound - Everything runs in the browser, with instant publish and share Here are 6 examples and how you can try it 👇

AshutoshShrivastava

15,729 просмотров • 1 год назад

First try at generating a voxel city with Codex + Three.js It works: roads, buildings, parks, traffic lights, pedestrians… But it still feels too clean and too grid-like. I think the next step is adding more street-level details, traffic density, and urban chaos. How do you find it? Any improvement ideas I should test next? full prompt below 👇

First try at generating a voxel city with Codex + Three.js It works: roads, buildings, parks, traffic lights, pedestrians… But it still feels too clean and too grid-like. I think the next step is adding more street-level details, traffic density, and urban chaos. How do you find it? Any improvement ideas I should test next? full prompt below 👇

Givros

11,057 просмотров • 2 месяцев назад

GPT-5.6 Pro is insane. It didn’t just beat Claude 5, Fable and Mythos. It crushed them. One prompt, just 5 minutes. And voila: A full low-poly Three.js island game with water, beach bar, boat, shark, fish, whales, sports area, NPCs and Ibiza vibes This is getting ridiculous. That is what I would write if I was not honest with you. That is what I would post if I only wanted a viral clickbait tweet. And this is exactly why you should always be careful with what you read on social media, especially on X. There is no GPT-5.6 yet. This prototype was made with GPT-5.5, in 6 iterations, after more than 40 minutes of back-and-forth with Codex. Yes, it started with one prompt, and I will share that prompt below. But the final result came from many corrections, adjustments, fixes, visual tweaks, Three.js issues, camera changes, object placement improvements, and a lot of manual direction. That is the real workflow. I share build in public content here to show what you can actually do with AI, but also to show that there is no magic dust. AI is powerful. Very powerful. But the difference between a cool demo and a real usable prototype is still iteration, feedback, taste, debugging, and direction. Yes, I am also waiting for GPT-5.6. It will probably arrive next week, and when it does, we will test it here properly, in public, with real prompts, real iterations, and real results.

GPT-5.6 Pro is insane. It didn’t just beat Claude 5, Fable and Mythos. It crushed them. One prompt, just 5 minutes. And voila: A full low-poly Three.js island game with water, beach bar, boat, shark, fish, whales, sports area, NPCs and Ibiza vibes This is getting ridiculous. That is what I would write if I was not honest with you. That is what I would post if I only wanted a viral clickbait tweet. And this is exactly why you should always be careful with what you read on social media, especially on X. There is no GPT-5.6 yet. This prototype was made with GPT-5.5, in 6 iterations, after more than 40 minutes of back-and-forth with Codex. Yes, it started with one prompt, and I will share that prompt below. But the final result came from many corrections, adjustments, fixes, visual tweaks, Three.js issues, camera changes, object placement improvements, and a lot of manual direction. That is the real workflow. I share build in public content here to show what you can actually do with AI, but also to show that there is no magic dust. AI is powerful. Very powerful. But the difference between a cool demo and a real usable prototype is still iteration, feedback, taste, debugging, and direction. Yes, I am also waiting for GPT-5.6. It will probably arrive next week, and when it does, we will test it here properly, in public, with real prompts, real iterations, and real results.

Givros

61,514 просмотров • 25 дней назад

Still amazed by how fast an idea can become a playable prototype Prompt → codex + ChatGPT 5.5 → playable world 🎮 A Vite + Three.js browser prototype featuring a Minecraft-style voxel ancient Chinese mountain temple, generated entirely from code.

Still amazed by how fast an idea can become a playable prototype Prompt → codex + ChatGPT 5.5 → playable world 🎮 A Vite + Three.js browser prototype featuring a Minecraft-style voxel ancient Chinese mountain temple, generated entirely from code.

Givros

30,854 просмотров • 2 месяцев назад

Taerae and his opinion on the Perilla Leaf Discourse 💬Let’s talk about the perilla leaf debate 🐥Perilla leaf? What’s the perilla leaf debate? Like, if I am trying to separate a perilla leaf but it won’t come off… What is that? 🐥Okay, look. There’s me, my partner, and my friend. My friend can’t separate their perilla leaf, so my partner separates it for them. The question is whether that’s okay or not, right? Right, right? 🐥But if I think about it… eat two perilla leaves at once. Why are you trying to eat them one at a time? Isn’t that just perilla leaf flirting? That’s what it is, no? Not a perilla leaf debate? 🐥Now that I’m hearing it, I’m kind of speechless. Why am I getting mad? 😆 🐥Just bring the perilla leaves to your plate, split them up, and eat them… like when we divide up food, like with hotpot. 🐥Honestly, I’m the type who usually doesn’t care about this stuff, but hearing it like this is making me angry That might be besides the point but I like how he used the term partner instead of giving it a gender ☺️

Taerae and his opinion on the Perilla Leaf Discourse 💬Let’s talk about the perilla leaf debate 🐥Perilla leaf? What’s the perilla leaf debate? Like, if I am trying to separate a perilla leaf but it won’t come off… What is that? 🐥Okay, look. There’s me, my partner, and my friend. My friend can’t separate their perilla leaf, so my partner separates it for them. The question is whether that’s okay or not, right? Right, right? 🐥But if I think about it… eat two perilla leaves at once. Why are you trying to eat them one at a time? Isn’t that just perilla leaf flirting? That’s what it is, no? Not a perilla leaf debate? 🐥Now that I’m hearing it, I’m kind of speechless. Why am I getting mad? 😆 🐥Just bring the perilla leaves to your plate, split them up, and eat them… like when we divide up food, like with hotpot. 🐥Honestly, I’m the type who usually doesn’t care about this stuff, but hearing it like this is making me angry That might be besides the point but I like how he used the term partner instead of giving it a gender ☺️

Just a Rose

131,223 просмотров • 7 месяцев назад

This is the part people don’t show enough about AI game dev on X. Behind every “Fable 5 made me a full game in one prompt” post, there’s usually a lot of bullshit. I gave AI a strong /goal: optimized Three.js grass, chunks, LOD, shader wind. It produced something. It understood part of the direction. But it still missed. That’s the real workflow. A prompt can give you a starting point. It doesn’t magically give you taste, debugging, optimization, and iteration. You can test the /goal below.

This is the part people don’t show enough about AI game dev on X. Behind every “Fable 5 made me a full game in one prompt” post, there’s usually a lot of bullshit. I gave AI a strong /goal: optimized Three.js grass, chunks, LOD, shader wind. It produced something. It understood part of the direction. But it still missed. That’s the real workflow. A prompt can give you a starting point. It doesn’t magically give you taste, debugging, optimization, and iteration. You can test the /goal below.

Givros

26,291 просмотров • 1 месяц назад

I rebuilt the same 2D survival base defense prototype. But this time, I used Agent Sprite Forge of 0xFunky with Codex. Instead of relying on rough placeholder assets, the workflow can generate 2D sprite sheets, maps, transparent PNG frames, props, GIFs and metadata directly from prompts. And honestly, the visual result is already much better. Still a lot to improve, especially the walking animation, but the pipeline is getting closer: prompt → assets → prototype → test → iterate

I rebuilt the same 2D survival base defense prototype. But this time, I used Agent Sprite Forge of 0xFunky with Codex. Instead of relying on rough placeholder assets, the workflow can generate 2D sprite sheets, maps, transparent PNG frames, props, GIFs and metadata directly from prompts. And honestly, the visual result is already much better. Still a lot to improve, especially the walking animation, but the pipeline is getting closer: prompt → assets → prototype → test → iterate

Givros

13,340 просмотров • 1 месяц назад

✨ New mini feature that helps you write prompts today that I got the idea from getimg .ai, an [ AI Improve ] button under the prompt box It takes your prompt, expands and improves it and adds detail One of ChatGPT's strengths is you ask it to make an image but it turns it into a really great big image prompt for its image model A detailed prompt gets better image results than a simple prompt generally: "model with green hair in magical forest" -> "a male model with striking green hair stands amidst a magical forest, where the canopy is alive with luminescent foliage. the sunlight filters through the mist, casting ethereal beams of light that dance upon the moss-covered ground. his hair appears to blend seamlessly with the vibrant emerald shades around him, almost glowing with its own mystical energy. the model wears an intricately detailed outfit that mirrors the forest's hues, adorned with delicate vines and leaves. in the background, the forest is alive with enchanted creatures fluttering about, their eyes luminescent and curious. the atmosphere is serene and otherworldly, evoking a sense of wonder and enchantment. the scene is captured with a high level of detail and a soft focus around the edges, enhancing the dreamlike quality."

✨ New mini feature that helps you write prompts today that I got the idea from getimg .ai, an [ AI Improve ] button under the prompt box It takes your prompt, expands and improves it and adds detail One of ChatGPT's strengths is you ask it to make an image but it turns it into a really great big image prompt for its image model A detailed prompt gets better image results than a simple prompt generally: "model with green hair in magical forest" -> "a male model with striking green hair stands amidst a magical forest, where the canopy is alive with luminescent foliage. the sunlight filters through the mist, casting ethereal beams of light that dance upon the moss-covered ground. his hair appears to blend seamlessly with the vibrant emerald shades around him, almost glowing with its own mystical energy. the model wears an intricately detailed outfit that mirrors the forest's hues, adorned with delicate vines and leaves. in the background, the forest is alive with enchanted creatures fluttering about, their eyes luminescent and curious. the atmosphere is serene and otherworldly, evoking a sense of wonder and enchantment. the scene is captured with a high level of detail and a soft focus around the edges, enhancing the dreamlike quality."

@levelsio

132,473 просмотров • 1 год назад

Biggest lesson from OpenClaw is that a good teammate doesn't start from scratch everytime you check in. They remember what was decided, what's still open, and proactively help you. Today we launched heartbeats in Codex: automations that maintain context inside a single thread over time. Instead of each run starting fresh, Codex wakes up in the same conversation, with the history and context it needs already in place. You can also have it schedule its own next steps – just ask Codex. Think about the overhead that quietly accumulates every morning: scanning Slack channels, catching up on email, piecing together what moved overnight. With a heartbeat, you offload that once, and wake up to a brief already waiting in a pinned thread. If you want to try turning Codex into a chief of staff: connect Slack, Gmail, and Notion, and paste the following prompt into codex: Please check Matt Slack Gmail Notion and write me a morning brief every weekday at 9am in this thread. I want you to collapse all the chaos at work into a single note every morning over some coffee ☕️

Biggest lesson from OpenClaw is that a good teammate doesn't start from scratch everytime you check in. They remember what was decided, what's still open, and proactively help you. Today we launched heartbeats in Codex: automations that maintain context inside a single thread over time. Instead of each run starting fresh, Codex wakes up in the same conversation, with the history and context it needs already in place. You can also have it schedule its own next steps – just ask Codex. Think about the overhead that quietly accumulates every morning: scanning Slack channels, catching up on email, piecing together what moved overnight. With a heartbeat, you offload that once, and wake up to a brief already waiting in a pinned thread. If you want to try turning Codex into a chief of staff: connect Slack, Gmail, and Notion, and paste the following prompt into codex: Please check Matt Slack Gmail Notion and write me a morning brief every weekday at 9am in this thread. I want you to collapse all the chaos at work into a single note every morning over some coffee ☕️

pash

119,157 просмотров • 3 месяцев назад

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!

@levelsio

119,210 просмотров • 1 год назад

Introducing GGEZ: The Nextjs for ThreeJS Games It's an open source framework which adds all the missing pieces to vibe code better ThreeJS games It has full codex integration, so a $20 ChatGPT sub is enough to build games! Literally "bun run start" and you have the full development environment on localhost 0. GGEZ Runtime - Abstraction layer over physics libraries - Character Controllers - It's just ThreeJS, no magic - Load ggez scenes and animations automatically 1. Trident - a World Editor - Codex World agent - A full editor to build scenes - Including Mesh editing, vertex, edge, face - Terrain sculpting - Physics and Player Controller settings - It's just exporting json files and glb assets, no magic 2. Animation Studio - The best you can find on the web - Codex Animation agent - Build state machines and animation graphs - Multi dimensional blend trees - Clip Editor: Create new animations with codex or edit keyframes - Equipment Editor: Never miss the placement of your rifle anymore - ROOT MOTION SUPPORT 3. GGEZ CLI Yea relax, it works fully headless and you can just create new games with bunx create-ggez new-game But at this point just use vanilla threejs?? Anyways if you are like me and you can't guess with code where objects should be placed and you are fifty prompts deep into figuring out where that box should be placed, this is for you If you are an anti AI game developer who insists that this is slop, then just leave a raging comment below please it's good for the algo 🙏 The whole thing is absolutely experimental and things will break as i move very fast, but I will be building my game with it so i will make sure it becomes stable asap! Link to repo below

Introducing GGEZ: The Nextjs for ThreeJS Games It's an open source framework which adds all the missing pieces to vibe code better ThreeJS games It has full codex integration, so a $20 ChatGPT sub is enough to build games! Literally "bun run start" and you have the full development environment on localhost 0. GGEZ Runtime - Abstraction layer over physics libraries - Character Controllers - It's just ThreeJS, no magic - Load ggez scenes and animations automatically 1. Trident - a World Editor - Codex World agent - A full editor to build scenes - Including Mesh editing, vertex, edge, face - Terrain sculpting - Physics and Player Controller settings - It's just exporting json files and glb assets, no magic 2. Animation Studio - The best you can find on the web - Codex Animation agent - Build state machines and animation graphs - Multi dimensional blend trees - Clip Editor: Create new animations with codex or edit keyframes - Equipment Editor: Never miss the placement of your rifle anymore - ROOT MOTION SUPPORT 3. GGEZ CLI Yea relax, it works fully headless and you can just create new games with bunx create-ggez new-game But at this point just use vanilla threejs?? Anyways if you are like me and you can't guess with code where objects should be placed and you are fifty prompts deep into figuring out where that box should be placed, this is for you If you are an anti AI game developer who insists that this is slop, then just leave a raging comment below please it's good for the algo 🙏 The whole thing is absolutely experimental and things will break as i move very fast, but I will be building my game with it so i will make sure it becomes stable asap! Link to repo below

robot

44,009 просмотров • 3 месяцев назад

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:

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)

42,501 просмотров • 22 дней 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!

Dan Shipper 📧

145,487 просмотров • 1 год назад