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Can AI really replace SaaS? We asked Codex Spark to build a simple Salesforce clone. It generated a build plan, then wrote all the code in 29 seconds. And it works! Add contacts, live search, full pipeline dashboard – all unit tests passed. The same task on full Codex...

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Cerebras

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16,831 次观看 • 4 个月前 •via X (Twitter)

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OpenAI Codex-Spark powered by Cerebras You can now just build things faster—at 1,000 tokens/s.
0:47

OpenAI Codex-Spark powered by Cerebras You can now just build things faster—at 1,000 tokens/s.

Cerebras

287,659 次观看 • 5 个月前

"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 次观看 • 1 个月前

It all starts with a spark of inspiration ✨ Bring your ideas to life and build applications entirely in natural language. Sign up for the technical preview of GitHub Spark:
1:14

It all starts with a spark of inspiration ✨ Bring your ideas to life and build applications entirely in natural language. Sign up for the technical preview of GitHub Spark:

GitHub

51,593 次观看 • 1 年前

OpenHands crushed Codex by 2.3× on token efficiency! We gave both agents the same task on the same model (Qwen3.5 35B): build an 8-bit Space Invaders in 3 iterations (build, fix, polish). Output: • OpenHands: 219K tokens, • Codex: 513K tokens, OpenHands beats Codex in local running. The difference is in how they handle context. OpenHands reuses the unchanged data across every pass and only pays for new tokens, while Codex re-sends and re-counts it every iteration. OpenHands finished a bit slower, but on local runs, tokens spent are the real cost.
0:23

OpenHands crushed Codex by 2.3× on token efficiency! We gave both agents the same task on the same model (Qwen3.5 35B): build an 8-bit Space Invaders in 3 iterations (build, fix, polish). Output: • OpenHands: 219K tokens, • Codex: 513K tokens, OpenHands beats Codex in local running. The difference is in how they handle context. OpenHands reuses the unchanged data across every pass and only pays for new tokens, while Codex re-sends and re-counts it every iteration. OpenHands finished a bit slower, but on local runs, tokens spent are the real cost.

atomic.chat

28,088 次观看 • 23 天前

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

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

am.will

16,916 次观看 • 5 个月前

what can you build with gpt-5.3-codex-spark? jason liu from OpenAI demos 3 real workflows — ones you can set up yourself inside the Codex app to help you spend less time on overhead and more time building. 00:09 – what is gpt-5.3-codex-spark? 00:25 – workflow 1: multi-agent daily briefing from slack, drive & meets 01:06 – workflow 2: automated PR review 01:31 – workflow 3: real-time interactive coding 02:56 – what speed changes, and what's coming next
3:45

what can you build with gpt-5.3-codex-spark? jason liu from OpenAI demos 3 real workflows — ones you can set up yourself inside the Codex app to help you spend less time on overhead and more time building. 00:09 – what is gpt-5.3-codex-spark? 00:25 – workflow 1: multi-agent daily briefing from slack, drive & meets 01:06 – workflow 2: automated PR review 01:31 – workflow 3: real-time interactive coding 02:56 – what speed changes, and what's coming next

Cerebras

23,633 次观看 • 4 个月前

I used Grok 4.5 in Grok Build to create a game engine for agentic coding, then built an ARPG on it, with all game assets generated via Grok Imagine in Grok Build. AI agents can build worlds, combat, loot, progression, maps, tests, and playable games. ⚒️🎮
0:44

I used Grok 4.5 in Grok Build to create a game engine for agentic coding, then built an ARPG on it, with all game assets generated via Grok Imagine in Grok Build. AI agents can build worlds, combat, loot, progression, maps, tests, and playable games. ⚒️🎮

tetsuo

197,799 次观看 • 24 天前

Claude Code vs Codex vs Grok Build: Who builds the best Windows 95 OS in HTML? I benchmarked them live on speed, lines of code, file size… and actual usability. Claude: Fastest (384 lines, 14KB) but basic Grok: Took longer… and built a monster (full Explorer, Paint, interactive Grok terminal, browser, Control Panel, dial-up to AOL, shutdown & more) Codex/GPT-5: Didn’t quite make it Out-of-the-box winner? Grok. By a mile. 👑 Full breakdown + results inside 👀
8:10

Claude Code vs Codex vs Grok Build: Who builds the best Windows 95 OS in HTML? I benchmarked them live on speed, lines of code, file size… and actual usability. Claude: Fastest (384 lines, 14KB) but basic Grok: Took longer… and built a monster (full Explorer, Paint, interactive Grok terminal, browser, Control Panel, dial-up to AOL, shutdown & more) Codex/GPT-5: Didn’t quite make it Out-of-the-box winner? Grok. By a mile. 👑 Full breakdown + results inside 👀

Dan

44,585 次观看 • 2 个月前

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 次观看 • 4 个月前

Agent Zero crushed Codex by 2.6× on token efficiency! We gave both agents the same task on the same local model (Qwen3.6 27B): build a retro Q*bert arcade game. Each agent wrote and rewrote it across iterations, adding enemies and a HUD. Outputs: • Agent Zero: 239K tokens, 53 min • Codex: 627K tokens, 51 min Both agents built a working Q*bert, but GitLawb 's Agent Zero is the cleaner build, with crisper textures and hops that land where they should. Codex refills the context window with its whole history every turn, so the model loses the thread and hallucinates code it never wrote. Agent Zero sends only what's new, so it keeps more of the window open and makes fewer mistakes. Run agents on local AI models in Atomic Chat!
0:25

Agent Zero crushed Codex by 2.6× on token efficiency! We gave both agents the same task on the same local model (Qwen3.6 27B): build a retro Q*bert arcade game. Each agent wrote and rewrote it across iterations, adding enemies and a HUD. Outputs: • Agent Zero: 239K tokens, 53 min • Codex: 627K tokens, 51 min Both agents built a working Q*bert, but GitLawb 's Agent Zero is the cleaner build, with crisper textures and hops that land where they should. Codex refills the context window with its whole history every turn, so the model loses the thread and hallucinates code it never wrote. Agent Zero sends only what's new, so it keeps more of the window open and makes fewer mistakes. Run agents on local AI models in Atomic Chat!

atomic.chat

319,140 次观看 • 16 天前

✨ To inspire more people to go build something now that we have AI to help us (especially non-tech people, cause I still know so many who are scared of building something): I added a [ BUILD IT ] button to It's like a mini-Lovable/Replit/v0: Any idea you see you like, you can click [ BUILD IT ], and it will use Opus 4.6 to build a landing page for it And then you can download the code it generated It's not a full startup of course, but a nice preview of what it can be, to give you an idea and inspire you to build it out further The code is live streamed also so you can see it being built 😊 Ironically this itself took me 1 hour to build with AI too Completely free and I pay for the tokens (please don't abuse it :D)
0:55

✨ To inspire more people to go build something now that we have AI to help us (especially non-tech people, cause I still know so many who are scared of building something): I added a [ BUILD IT ] button to It's like a mini-Lovable/Replit/v0: Any idea you see you like, you can click [ BUILD IT ], and it will use Opus 4.6 to build a landing page for it And then you can download the code it generated It's not a full startup of course, but a nice preview of what it can be, to give you an idea and inspire you to build it out further The code is live streamed also so you can see it being built 😊 Ironically this itself took me 1 hour to build with AI too Completely free and I pay for the tokens (please don't abuse it :D)

@levelsio

277,075 次观看 • 4 个月前

WHAT IF CODEX HAD A /GOAL COMMAND FOR BUILDING MVPS? I built a Codex skill that turns “/goal MVP ...” into a full MVP workflow. Write your idea after /goal MVP, and Codex helps scope, build, verify, and prepare a testable MVP. -> trigger it with /goal MVP -> clarify the idea before building -> scope the smallest useful MVP -> create a practical build plan -> build inside your current workspace -> verify with tests/build checks -> prepare demo path + launch notes Install: npm i -g goal-mvp 100% open source. Link in bio.
0:24

WHAT IF CODEX HAD A /GOAL COMMAND FOR BUILDING MVPS? I built a Codex skill that turns “/goal MVP ...” into a full MVP workflow. Write your idea after /goal MVP, and Codex helps scope, build, verify, and prepare a testable MVP. -> trigger it with /goal MVP -> clarify the idea before building -> scope the smallest useful MVP -> create a practical build plan -> build inside your current workspace -> verify with tests/build checks -> prepare demo path + launch notes Install: npm i -g goal-mvp 100% open source. Link in bio.

Kappaemme

13,453 次观看 • 2 个月前

Codex is the new "super app" of AI tools. Here's the simple breakdown: Vibe coding + knowledge work in one place: - Cursor: code only. Can't make a doc you just view. - Claude Code: code only. Docs live in Cowork (separate, restricted). - Codex: both, same interface. Codex on complex tasks: - Better at infrastructure - Better at hard, multi-step problems - We tested it across our team The proof: - One-shotted a Replit clone. - Sandboxes. Mobile vibe coding. - 1 hour 20 minutes on 5.4. "The fastest way to do the most amount of things." That's why Codex is winning.
2:34

Codex is the new "super app" of AI tools. Here's the simple breakdown: Vibe coding + knowledge work in one place: - Cursor: code only. Can't make a doc you just view. - Claude Code: code only. Docs live in Cowork (separate, restricted). - Codex: both, same interface. Codex on complex tasks: - Better at infrastructure - Better at hard, multi-step problems - We tested it across our team The proof: - One-shotted a Replit clone. - Sandboxes. Mobile vibe coding. - 1 hour 20 minutes on 5.4. "The fastest way to do the most amount of things." That's why Codex is winning.

The Startup Ideas Podcast (SIP) 🧃

22,803 次观看 • 3 个月前

you can now: > search any niche on the app store > pull every single negative review > and export it all into one file then drop it into codex 5.3 and get exactly what features to build here's what i did: 1\ found meal planning apps with this tool in seconds 2\ pulled 423 negative reviews 3\ exported everything into one file 4\ dropped it into codex 5.3 5\ asked it to find every feature users are requesting in seconds i got 25 features with the exact number of people requesting each one that's 423 real people telling you exactly what to build so many possibilities with this to build profitable mobile apps that people actually want
0:25

you can now: > search any niche on the app store > pull every single negative review > and export it all into one file then drop it into codex 5.3 and get exactly what features to build here's what i did: 1\ found meal planning apps with this tool in seconds 2\ pulled 423 negative reviews 3\ exported everything into one file 4\ dropped it into codex 5.3 5\ asked it to find every feature users are requesting in seconds i got 25 features with the exact number of people requesting each one that's 423 real people telling you exactly what to build so many possibilities with this to build profitable mobile apps that people actually want

Om Patel

20,410 次观看 • 6 个月前

We just launched Sites into Codex! Software creation was always about more than writing code. Sites in Codex fundamentally gives the power of end-to-end software creation to every user, no matter their technical fluency. These Sites are fully deployed to a URL, private to workspaces, come with authentication, can have static files, and can store dynamic data in databases. It is in preview for business and enterprise teams and will be rolling out to all workspaces over the next day. Give it a try by typing @ Sites into Codex and ask it to build anything! This project took a massive amount of effort across hundreds of people at OpenAI - proud that we were able to get this out and excited to see what you all build with it!
0:46

We just launched Sites into Codex! Software creation was always about more than writing code. Sites in Codex fundamentally gives the power of end-to-end software creation to every user, no matter their technical fluency. These Sites are fully deployed to a URL, private to workspaces, come with authentication, can have static files, and can store dynamic data in databases. It is in preview for business and enterprise teams and will be rolling out to all workspaces over the next day. Give it a try by typing @ Sites into Codex and ask it to build anything! This project took a massive amount of effort across hundreds of people at OpenAI - proud that we were able to get this out and excited to see what you all build with it!

Rohan Varma

1,033,425 次观看 • 2 个月前

Introducing Jitter AI ✨ Don't search for the right creative tool. Build it. Just type your idea and get a ready-to-use effect in seconds. Live today 👇
0:48

Introducing Jitter AI ✨ Don't search for the right creative tool. Build it. Just type your idea and get a ready-to-use effect in seconds. Live today 👇

Jitter

308,215 次观看 • 2 个月前

Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.
0:23

Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.

Simplifying AI

66,337 次观看 • 3 天前

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.
14:34

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.

Shadow Nick

47,058 次观看 • 1 个月前

OptimAI Search MCP brings live context to the agents people already use. Claude. Cursor. Copilot. Codex. One integration layer. Everywhere you build. Under the hood, OptimAI can process hundreds to thousands of real-time signals in parallel across the public web, social platforms, and onchain data - all powered by a decentralized network. That is the difference: not another search tool, but infrastructure for agent-native intelligence. Build with it. 💡 -- OptimAI: the #1 AI on BNB Chain DappBay.
1:27

OptimAI Search MCP brings live context to the agents people already use. Claude. Cursor. Copilot. Codex. One integration layer. Everywhere you build. Under the hood, OptimAI can process hundreds to thousands of real-time signals in parallel across the public web, social platforms, and onchain data - all powered by a decentralized network. That is the difference: not another search tool, but infrastructure for agent-native intelligence. Build with it. 💡 -- OptimAI: the #1 AI on BNB Chain DappBay.

OptimAI Network

56,828 次观看 • 2 个月前

This blew my mind: I just built a fully working end-to-end SaaS storefront in ~15 minutes with MeDo — not just a website, but an actual mini-Shopify stack. It generated the full frontend, backend, UI, auth system, product pages, shopping cart, payments flow, and even gave me a product management dashboard. Then I asked it to switch everything to dark mode… and it restyled the whole app in seconds. For $5 you basically get a SaaS factory: store builder, product manager, checkout system, user accounts, responsive design — all generated and wired together automatically. I never touched a line of code. MeDo feels like having a frontend dev, backend dev, designer, and SaaS architect working in sync, powered by Baidu’s enterprise-grade AI stack. Honestly, the generation quality beats what I’ve seen from Lovable at a much lower price point.
2:02

This blew my mind: I just built a fully working end-to-end SaaS storefront in ~15 minutes with MeDo — not just a website, but an actual mini-Shopify stack. It generated the full frontend, backend, UI, auth system, product pages, shopping cart, payments flow, and even gave me a product management dashboard. Then I asked it to switch everything to dark mode… and it restyled the whole app in seconds. For $5 you basically get a SaaS factory: store builder, product manager, checkout system, user accounts, responsive design — all generated and wired together automatically. I never touched a line of code. MeDo feels like having a frontend dev, backend dev, designer, and SaaS architect working in sync, powered by Baidu’s enterprise-grade AI stack. Honestly, the generation quality beats what I’ve seen from Lovable at a much lower price point.

Chubby♨️

63,919 次观看 • 8 个月前