正在加载视频...

视频加载失败

返回首页

"Designers will realize—all this back and forth, screenshots, redlines, 50 pixels off—they could just send it to Cursor and it's fixed." As the head of design at Cursor, Ryo Lu is at the cutting edge of designers who ship code instead of mocks. In our new episode, he showed...

petergyang's profile picture

Peter Yang

222,010 subscribers

108,220 次观看 • 8 个月前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

While your team is just getting started vibe coding prototypes, the team at Stripe is vibe coding a full vibe coding platform. Owen Williams ⚡ is a design manager at Stripe who built Protodash - an internal AI prototyping tool that lets designers and PMs spin up real, clickable prototypes in minutes. In this ep he walks through: - why generic AI tools produce "blurple slop" that doesn't match your design system - how he built a full prototyping studio on top of dev boxes with cursor + cc - why more PMs than designers now use Protodash - the design review mode that lets teams ship feedback direct in the app Plus, we talk about getting to the ultimate dream: demos, not memos. ty to our sponsors! 🧠 CESAR - Intelligent automation built for AI 💻 Cursor - The best way to code with AI Full episode on yt:
0:41

While your team is just getting started vibe coding prototypes, the team at Stripe is vibe coding a full vibe coding platform. Owen Williams ⚡ is a design manager at Stripe who built Protodash - an internal AI prototyping tool that lets designers and PMs spin up real, clickable prototypes in minutes. In this ep he walks through: - why generic AI tools produce "blurple slop" that doesn't match your design system - how he built a full prototyping studio on top of dev boxes with cursor + cc - why more PMs than designers now use Protodash - the design review mode that lets teams ship feedback direct in the app Plus, we talk about getting to the ultimate dream: demos, not memos. ty to our sponsors! 🧠 CESAR - Intelligent automation built for AI 💻 Cursor - The best way to code with AI Full episode on yt:

claire vo 🖤

92,186 次观看 • 2 个月前

Epic duo! computer use drives cursor autonomously and builds and entire Tower defense game while maintaining project understanding 🥳 system message in comment You just instruct computer use and it continually instructs Cursor agent to build the project. You can download the script from my patron. link in comment How it works: - Computer is limited to certain coordinates and certain actions this way it should only work with cursor and do nothing else - cursorrules file instructs cursor to not run any commands to run files, since those require user permission and computer use may make mistakes there - you select the coordinates of the top and bottom position of the text input boxes in composer side panel. there is a script that helps you with that. we enter these into comuter_use script - then run the script with your prompt let me know what you think 🙂 ------- If you are interested in learning how to use Cursor more in depth, I have a 28 chapter 1000x Cursor Course building full apps from scratch with 19 hours of content. link is in my bio if you are interested
2:00

Epic duo! computer use drives cursor autonomously and builds and entire Tower defense game while maintaining project understanding 🥳 system message in comment You just instruct computer use and it continually instructs Cursor agent to build the project. You can download the script from my patron. link in comment How it works: - Computer is limited to certain coordinates and certain actions this way it should only work with cursor and do nothing else - cursorrules file instructs cursor to not run any commands to run files, since those require user permission and computer use may make mistakes there - you select the coordinates of the top and bottom position of the text input boxes in composer side panel. there is a script that helps you with that. we enter these into comuter_use script - then run the script with your prompt let me know what you think 🙂 ------- If you are interested in learning how to use Cursor more in depth, I have a 28 chapter 1000x Cursor Course building full apps from scratch with 19 hours of content. link is in my bio if you are interested

echo.hive

126,688 次观看 • 1 年前

SpaceX just agreed to buy Cursor for $60 billion. Everyone is talking about the product, the models, the valuation. I’m interested in the human side of this AI story. Who built the team behind one of the fastest-growing software companies in history, and how do they think about talent at the frontier of AI? For the first episode of my new podcast, Below the Surface, I sat down with Adam Ward, Cursor 's Head of Talent, to find out. Before Cursor, Adam helped scale Facebook through its IPO, ran global recruiting at Pinterest from 200 to 2000+ people, and built Growth by Design Talent, the advisory firm behind OpenAI, Anthropic, Stripe, Notion, and Figma … until Cursor acquired it last year. We talked about what hiring looks like when the market is moving this fast, how Cursor does it differently, and what it actually takes to build a high-performance team right now. One of my biggest takeaways: the companies that win in AI won’t just have better models. They’ll have better systems for finding, assessing, and enabling exceptional people. Watch the full episode here: Or subscribe wherever you get podcasts: 🎧 🎤
0:53

SpaceX just agreed to buy Cursor for $60 billion. Everyone is talking about the product, the models, the valuation. I’m interested in the human side of this AI story. Who built the team behind one of the fastest-growing software companies in history, and how do they think about talent at the frontier of AI? For the first episode of my new podcast, Below the Surface, I sat down with Adam Ward, Cursor 's Head of Talent, to find out. Before Cursor, Adam helped scale Facebook through its IPO, ran global recruiting at Pinterest from 200 to 2000+ people, and built Growth by Design Talent, the advisory firm behind OpenAI, Anthropic, Stripe, Notion, and Figma … until Cursor acquired it last year. We talked about what hiring looks like when the market is moving this fast, how Cursor does it differently, and what it actually takes to build a high-performance team right now. One of my biggest takeaways: the companies that win in AI won’t just have better models. They’ll have better systems for finding, assessing, and enabling exceptional people. Watch the full episode here: Or subscribe wherever you get podcasts: 🎧 🎤

Joelle Emerson

25,352 次观看 • 1 个月前

✨New demo: what if vibe coding felt more visual? Brian Lovin Mary Rose Cook and I did a game jam using Notion as our "IDE": launching Cursor agents from a task board, and making a custom image for each task 😎 The demo shows 3 ideas for the future of agents: 1) Agents should collaborate across apps. Each app has its focus--Notion AI is good at drafting specs and organizing tasks; Cursor is good at coding. So let them specialize! Today we're launching a new integration where Notion AI can kick off Cursor Cloud Agents to do coding tasks. The Cursor API accepts natural language prompts, so I think of this as "cross-app sub-agents" -- it's kinda cute how it resembles humans hiring outside contractors 😊 BTW: the parallelism of cloud agents is incredibly freeing for creativity, but it also creates a new problem: sooo much work to keep track of! Which brings us to the next idea... 2) Agent orchestration is a data visualization problem. A powerful frame for designing agent UIs is to think of the chat transcripts as the "raw data" and ask: what visual projections might help people make sense of this data at scale? We need to engage our human GPUs -- our visual processing -- to understand what the computer GPUs are doing for us! One thing we can do is use AI to populate traditional UIs like progress bars and status updates. But there are also new possibilities now... For example: when you have a lot going on, it can be hard to identify tasks just by text titles. So we tried generating an AI image for each task -- turns out this helps a lot by giving it a unique visual identity! And of course, it also just makes it super fun to build with friends 😃 Speaking of friends... 3) The future of coding is collaborative. Sometimes it feels like IC engineers are being reduced to middle managers: shuffling information between the team's context and the coding agents that they individually manage. The solution: bring all the people and agents into one shared space, with shared context and visibility! In the video you can get a glimpse of how this feels. Mary, Brian and I record ourselves chatting about ideas, and then we use AI to turn that conversation into a list of tasks on a shared board. As the ideas get built in parallel, we can all monitor progress and review the work together, nothing is siloed. My main takeaway from this game jam was: damn, creativity with friends, at the speed of conversation, is incredibly fun. --- Our goal here is to let anyone use Notion as a fun and creative "software factory" to build software together with your team. Give the Cursor integration a shot and let us know what you think! (AI Image gen in Notion isn't GA yet, but coming soon and already out to some users) And let me know if you'd want a template or more detailed instructions on the setup we showed in this demo...
12:37

✨New demo: what if vibe coding felt more visual? Brian Lovin Mary Rose Cook and I did a game jam using Notion as our "IDE": launching Cursor agents from a task board, and making a custom image for each task 😎 The demo shows 3 ideas for the future of agents: 1) Agents should collaborate across apps. Each app has its focus--Notion AI is good at drafting specs and organizing tasks; Cursor is good at coding. So let them specialize! Today we're launching a new integration where Notion AI can kick off Cursor Cloud Agents to do coding tasks. The Cursor API accepts natural language prompts, so I think of this as "cross-app sub-agents" -- it's kinda cute how it resembles humans hiring outside contractors 😊 BTW: the parallelism of cloud agents is incredibly freeing for creativity, but it also creates a new problem: sooo much work to keep track of! Which brings us to the next idea... 2) Agent orchestration is a data visualization problem. A powerful frame for designing agent UIs is to think of the chat transcripts as the "raw data" and ask: what visual projections might help people make sense of this data at scale? We need to engage our human GPUs -- our visual processing -- to understand what the computer GPUs are doing for us! One thing we can do is use AI to populate traditional UIs like progress bars and status updates. But there are also new possibilities now... For example: when you have a lot going on, it can be hard to identify tasks just by text titles. So we tried generating an AI image for each task -- turns out this helps a lot by giving it a unique visual identity! And of course, it also just makes it super fun to build with friends 😃 Speaking of friends... 3) The future of coding is collaborative. Sometimes it feels like IC engineers are being reduced to middle managers: shuffling information between the team's context and the coding agents that they individually manage. The solution: bring all the people and agents into one shared space, with shared context and visibility! In the video you can get a glimpse of how this feels. Mary, Brian and I record ourselves chatting about ideas, and then we use AI to turn that conversation into a list of tasks on a shared board. As the ideas get built in parallel, we can all monitor progress and review the work together, nothing is siloed. My main takeaway from this game jam was: damn, creativity with friends, at the speed of conversation, is incredibly fun. --- Our goal here is to let anyone use Notion as a fun and creative "software factory" to build software together with your team. Give the Cursor integration a shot and let us know what you think! (AI Image gen in Notion isn't GA yet, but coming soon and already out to some users) And let me know if you'd want a template or more detailed instructions on the setup we showed in this demo...

Geoffrey Litt

88,919 次观看 • 4 个月前

Klarna CEO Sebastian Siemiatkowski never learned how to code. But after a summer using Cursor, he now brings working prototypes to meetings instead of asking engineers to interpret his ideas: “Because I'm not an engineer, I've been vibe coding my whole life.” “I come into the meeting room, there's tons of product people and engineers. I say, ‘I think we should build an app that kind of does this, and it should work like that.’ They try to make sense of what is saying.” “I've never seen the code. I don't know how they made it. It's beautiful, I like our app. I think it's nice but, I don't know how it works.” “So to me, I've been vibe coding for 20 years. The only difference is now I'm sitting with a computer, and I'm doing it with AI and it's coming back with the prototype in 20 minutes.”
3:02

Klarna CEO Sebastian Siemiatkowski never learned how to code. But after a summer using Cursor, he now brings working prototypes to meetings instead of asking engineers to interpret his ideas: “Because I'm not an engineer, I've been vibe coding my whole life.” “I come into the meeting room, there's tons of product people and engineers. I say, ‘I think we should build an app that kind of does this, and it should work like that.’ They try to make sense of what is saying.” “I've never seen the code. I don't know how they made it. It's beautiful, I like our app. I think it's nice but, I don't know how it works.” “So to me, I've been vibe coding for 20 years. The only difference is now I'm sitting with a computer, and I'm doing it with AI and it's coming back with the prototype in 20 minutes.”

sourcery

149,352 次观看 • 6 个月前

🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇
6:14

🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇

Dan McAteer

99,719 次观看 • 1 年前

Introducing Gemini Cursor ✨ – a second multimodal AI cursor for your desktop that's open-source and free! Link below 👇 This experiment 🧪 reimagines how we interact with our computers because visual cues 👀 help us make sense of what we see on a screen. In this demo, I had my friend test it out by trying to add a payment method 💳 to Amazon. The cursor walks through the entire process 💬 while talking and pointing 🖱️ to the right parts of the website. Powered by Gemini 2.0 Flash (Experimental)⚡ from Google and their live multimodal API. Shoutout to Alexander Chen for sharing the starter code that powers most of this app 🙌🔥
2:19

Introducing Gemini Cursor ✨ – a second multimodal AI cursor for your desktop that's open-source and free! Link below 👇 This experiment 🧪 reimagines how we interact with our computers because visual cues 👀 help us make sense of what we see on a screen. In this demo, I had my friend test it out by trying to add a payment method 💳 to Amazon. The cursor walks through the entire process 💬 while talking and pointing 🖱️ to the right parts of the website. Powered by Gemini 2.0 Flash (Experimental)⚡ from Google and their live multimodal API. Shoutout to Alexander Chen for sharing the starter code that powers most of this app 🙌🔥

Sriraam

171,611 次观看 • 1 年前

Cursor gets Perplexity API search tool while being FULLY AUTO CONTROLLED by Claude Computer use. So cursor performs web research! cursorrules and system prompt in comment Tool is just a function in tools .py file and you can add more tools of any kind as long as you update the cursorrules This was tricky because we are restricting comp use to certain coordinates for upper and lower input boxes. Luckily "run command" button also appears at the lower input box and its coordinates are fixed so we can use that to out advantage! You can download the source code by becoming a patron. link in comment essentially comp use is restricted to a limited action space and only 3 coordinates it can use. this way we are trying to ensure it doesn't do things we don't want and also make less mistakes(although mistakes do happen still both from comp use and from cursor although not much -------- If you are interested in learning how to use Cursor more in depth, I have a 28 chapter 1000x Cursor Course building full apps from scratch with 19 hours of content. link is in my bio if you are interested inspired partially by Stijn and Ryan O'Donnell (stijn mentioned in DM)
1:17

Cursor gets Perplexity API search tool while being FULLY AUTO CONTROLLED by Claude Computer use. So cursor performs web research! cursorrules and system prompt in comment Tool is just a function in tools .py file and you can add more tools of any kind as long as you update the cursorrules This was tricky because we are restricting comp use to certain coordinates for upper and lower input boxes. Luckily "run command" button also appears at the lower input box and its coordinates are fixed so we can use that to out advantage! You can download the source code by becoming a patron. link in comment essentially comp use is restricted to a limited action space and only 3 coordinates it can use. this way we are trying to ensure it doesn't do things we don't want and also make less mistakes(although mistakes do happen still both from comp use and from cursor although not much -------- If you are interested in learning how to use Cursor more in depth, I have a 28 chapter 1000x Cursor Course building full apps from scratch with 19 hours of content. link is in my bio if you are interested inspired partially by Stijn and Ryan O'Donnell (stijn mentioned in DM)

echo.hive

49,245 次观看 • 1 年前

Aman Sanger on scaling Cursor to $100M in revenue in 12 months The four co-founders started working on Cursor in January 2023. “It was about 2-4 months of experimenting, trying different things and finding something that fit,” Aman recalls. “Then we shipped it and it had an okay launch.” The initial version of Cursor got some initial buzz because they shipped it with GPT-4 at a time where very few products were using Open AI’s latest model. But then usage tanked. The team began to doubt their approach after the failed launch. Aman explains: “The entirety of that summer was just incredibly slow growth, and that was somewhat demoralizing. The big question in our minds was, ‘Are we being too ambitious?’ We were trying to build this general purpose thing for all engineers, but with this really small team, maybe we should focus more narrowly on some particular use case like tests or bug detection.” But the fact that they were users of the product gave the team the confidence to keep going down their initial path: “The really magical thing about this product was that we were users of it. So we could iterate incredibly quickly, and we tried all these different things that summer. Then we found this core set of features that worked incredibly well.” The two key features were Command K for instructed edit ability and code-based indexing that let you ask questions about your whole code base. “After we integrated those two features and launched them, growth kind of just took off.” Aman continues: “A lot of the work of Cursor has been just experimenting with what is possible. For everything you see in the product, there’s like 10 failed experiments that didn’t work… All of our work for the first 6 months to a year was trying to find new ways to harness these models and make these models better for programming.” Another factor that contributed to Cursor’s success was their willingness to ship half-finished features: “We released these half-finished things, which a lot of our competitors refused to do. The first version of Copilot++ and Cursor Tab sucked. But once you release it to the world and see how people react to it, you can improve on it a ton… We biased toward releasing as soon as something shows signs of usefulness to the team.” Video source: Peak XV Partners (2025)
2:44

Aman Sanger on scaling Cursor to $100M in revenue in 12 months The four co-founders started working on Cursor in January 2023. “It was about 2-4 months of experimenting, trying different things and finding something that fit,” Aman recalls. “Then we shipped it and it had an okay launch.” The initial version of Cursor got some initial buzz because they shipped it with GPT-4 at a time where very few products were using Open AI’s latest model. But then usage tanked. The team began to doubt their approach after the failed launch. Aman explains: “The entirety of that summer was just incredibly slow growth, and that was somewhat demoralizing. The big question in our minds was, ‘Are we being too ambitious?’ We were trying to build this general purpose thing for all engineers, but with this really small team, maybe we should focus more narrowly on some particular use case like tests or bug detection.” But the fact that they were users of the product gave the team the confidence to keep going down their initial path: “The really magical thing about this product was that we were users of it. So we could iterate incredibly quickly, and we tried all these different things that summer. Then we found this core set of features that worked incredibly well.” The two key features were Command K for instructed edit ability and code-based indexing that let you ask questions about your whole code base. “After we integrated those two features and launched them, growth kind of just took off.” Aman continues: “A lot of the work of Cursor has been just experimenting with what is possible. For everything you see in the product, there’s like 10 failed experiments that didn’t work… All of our work for the first 6 months to a year was trying to find new ways to harness these models and make these models better for programming.” Another factor that contributed to Cursor’s success was their willingness to ship half-finished features: “We released these half-finished things, which a lot of our competitors refused to do. The first version of Copilot++ and Cursor Tab sucked. But once you release it to the world and see how people react to it, you can improve on it a ton… We biased toward releasing as soon as something shows signs of usefulness to the team.” Video source: Peak XV Partners (2025)

Startup Archive

56,166 次观看 • 1 年前

Before, being a CPO/exec meant lots + lots of meetings. Now I see a lot of my peers in leadership spend more of their time building + coding w AI. And TBH? They seem to be having a lot more fun. rachel wolan is CPO at Webflow exemplifies this "IC CPO" mindset in this week's How I AI, showing us: - the AI chief of staff she built for herself to run everything, from her calendar to networking prep - how she runs multiple Cursor instances, models, and Claude code interfaces depending on the task at hand - how "builder day" at webflow gets the whole team engaged in AI adoption This is one every CEO should send to their staff and ask: what are you (not just your team) building today? As always, big thanks to our wonderful sponsors: 🕵️ Graphite - Your AI code review platform (congrats on joining Cursor, friends!) 🎟️ Atlassian for Startups - From MVP to IPO Watch it here:
0:48

Before, being a CPO/exec meant lots + lots of meetings. Now I see a lot of my peers in leadership spend more of their time building + coding w AI. And TBH? They seem to be having a lot more fun. rachel wolan is CPO at Webflow exemplifies this "IC CPO" mindset in this week's How I AI, showing us: - the AI chief of staff she built for herself to run everything, from her calendar to networking prep - how she runs multiple Cursor instances, models, and Claude code interfaces depending on the task at hand - how "builder day" at webflow gets the whole team engaged in AI adoption This is one every CEO should send to their staff and ask: what are you (not just your team) building today? As always, big thanks to our wonderful sponsors: 🕵️ Graphite - Your AI code review platform (congrats on joining Cursor, friends!) 🎟️ Atlassian for Startups - From MVP to IPO Watch it here:

claire vo 🖤

11,969 次观看 • 7 个月前

"We (Anthropic) are now creating entire features in days, not weeks." Here's my new episode with jenny wen (Claude's Head of Design) where she gave me a rare look at how Anthropic operates, including: ✅ How she uses Cowork to build products ✅ The real story behind Cowork's creation (including screens of early Cowork prototypes) ✅ How Anthropic is able to ship every day Some quotes from Jenny: "The specs we used to make with milestones ...we don't really do that anymore." "People think we built Cowork in 10 days. The actual story is we've been prototyping this direction for a year." "Designers, if you feel like the ground is shifting beneath your feet, it's because it is." 📌 Watch now: Thanks to our sponsors: Replit ⠕: Plan, design, and build with AI agents Linear: The AI agent platform for modern teams
0:39

"We (Anthropic) are now creating entire features in days, not weeks." Here's my new episode with jenny wen (Claude's Head of Design) where she gave me a rare look at how Anthropic operates, including: ✅ How she uses Cowork to build products ✅ The real story behind Cowork's creation (including screens of early Cowork prototypes) ✅ How Anthropic is able to ship every day Some quotes from Jenny: "The specs we used to make with milestones ...we don't really do that anymore." "People think we built Cowork in 10 days. The actual story is we've been prototyping this direction for a year." "Designers, if you feel like the ground is shifting beneath your feet, it's because it is." 📌 Watch now: Thanks to our sponsors: Replit ⠕: Plan, design, and build with AI agents Linear: The AI agent platform for modern teams

Peter Yang

426,439 次观看 • 4 个月前

Write 100x better code using AI (for free!) Install the Codacy extension (VSCode, Cursor, WindSurf). This will install an MCP Server locally on your computer. Your coding copilot will use this server with the Codacy CLI to check every line of code it generates. The way this works is pretty awesome (assuming you are using Cursor): 1. You ask Cursor to generate some code 2. Cursor writes the code 3. Cursor then calls Codacy's MCP Server to check it 4. The MCP Server will use the Codacy CLI to find any issues 5. Cursor will fix the issues and call the MCP server again 6. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Codacy has been doing this for a long, long time, and their Guardrails MCP Server checks for a lot of potential issues: • Security issues • Quality standards • Pattern violations • Linting issues You can see more information about the extension here: I recorded a quick video to show you how it works. Thanks to the Codacy team for helping me set up everything, answering my 1,000 questions, and collaborating with me on this post.
5:21

Write 100x better code using AI (for free!) Install the Codacy extension (VSCode, Cursor, WindSurf). This will install an MCP Server locally on your computer. Your coding copilot will use this server with the Codacy CLI to check every line of code it generates. The way this works is pretty awesome (assuming you are using Cursor): 1. You ask Cursor to generate some code 2. Cursor writes the code 3. Cursor then calls Codacy's MCP Server to check it 4. The MCP Server will use the Codacy CLI to find any issues 5. Cursor will fix the issues and call the MCP server again 6. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Codacy has been doing this for a long, long time, and their Guardrails MCP Server checks for a lot of potential issues: • Security issues • Quality standards • Pattern violations • Linting issues You can see more information about the extension here: I recorded a quick video to show you how it works. Thanks to the Codacy team for helping me set up everything, answering my 1,000 questions, and collaborating with me on this post.

Santiago

63,262 次观看 • 1 年前

Elon Musk just made one if the biggest moves in taking over the programming industry “SpaceX just bought Cursor for $60 billion. Do you realize how big this is? SpaceX went public — the biggest IPO in history. $75 billion raised, almost a $2 trillion valuation and the first thing to do with that money? Buy the most popular AI coding tool on the planet. Here's why that changes everything. Elon now owns 3 layers: the compute, Colossus data centers, the models, Grok through xAI, and now the tool that developers actually use every day. It's the full stack. And here's what makes Cursor different from Claude Code or Codex. Cursor is model agnostic. You can run Claude in it, GPT, Gemini, whatever model you want. It's not locked to any one company, and now it has SpaceX's resources behind it. Cursor said they were bottlenecked by compute. Well, that bottleneck has just been removed. $4 billion in annual revenue, over half the Fortune 500 already uses it, and now it's backed by a $2 trillion company. OpenAI has Codex, Anthropic has Claude Code, and now Elon has Cursor.” Let me break this down in simple terms Elon Musk now controls more of the full AI picture: - Massive computers, power (data centers like Colossus) - Smart AI models (Grok from xAI) - The actual tool millions of developers use every day (Cursor) For every day users this means Faster and smarter apps and websites in the future. More developers using powerful AI tools means new apps, games, websites, and features get built quicker and cheaper. This means better video games, smoother streaming, smarter phone apps and better programs For Developers they can describe what they want in plain English (“make a feature that does X”) and the AI handles more of the heavy lifting
2:13

Elon Musk just made one if the biggest moves in taking over the programming industry “SpaceX just bought Cursor for $60 billion. Do you realize how big this is? SpaceX went public — the biggest IPO in history. $75 billion raised, almost a $2 trillion valuation and the first thing to do with that money? Buy the most popular AI coding tool on the planet. Here's why that changes everything. Elon now owns 3 layers: the compute, Colossus data centers, the models, Grok through xAI, and now the tool that developers actually use every day. It's the full stack. And here's what makes Cursor different from Claude Code or Codex. Cursor is model agnostic. You can run Claude in it, GPT, Gemini, whatever model you want. It's not locked to any one company, and now it has SpaceX's resources behind it. Cursor said they were bottlenecked by compute. Well, that bottleneck has just been removed. $4 billion in annual revenue, over half the Fortune 500 already uses it, and now it's backed by a $2 trillion company. OpenAI has Codex, Anthropic has Claude Code, and now Elon has Cursor.” Let me break this down in simple terms Elon Musk now controls more of the full AI picture: - Massive computers, power (data centers like Colossus) - Smart AI models (Grok from xAI) - The actual tool millions of developers use every day (Cursor) For every day users this means Faster and smarter apps and websites in the future. More developers using powerful AI tools means new apps, games, websites, and features get built quicker and cheaper. This means better video games, smoother streaming, smarter phone apps and better programs For Developers they can describe what they want in plain English (“make a feature that does X”) and the AI handles more of the heavy lifting

Wall Street Apes

213,267 次观看 • 1 个月前

"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:
0:41

"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

290,423 次观看 • 3 个月前

The future of design is… engineering. All designers at Vercel now also build, thanks to tools like v0, Claude Code, and Cursor. They've been contributing to our frontends and apps for a while now. But over the past few months, the leap they've made is engineering the design process itself by building agents. A big part of shipping is getting the word out in a compelling way, especially on the X platform, the everything app. In the past, we used to spend a bunch of time hand-crafting images and illustrations for social cards. Our design team built an internal agent and web ui using v0 and Claude Code that makes this process fully self-serve. It even includes a previewer of what the final artifact will look like on X. It's called Leap. It's probably saved us hundreds of hours of work but also massively raised our quality bar. The artifacts it produces are beautiful. If you had asked me even 12 months ago whether our design team would be building their own design tools, let alone be this good, I would call bs. There was no master plan, or God forbid, a "sprint" to make this happen. It just took a handful of prompts to build and it propagated on Slack. Leap is now one of the many agents that helps us run our company more smoothly, built and securely deployed on Vercel for our internal use.
1:08

The future of design is… engineering. All designers at Vercel now also build, thanks to tools like v0, Claude Code, and Cursor. They've been contributing to our frontends and apps for a while now. But over the past few months, the leap they've made is engineering the design process itself by building agents. A big part of shipping is getting the word out in a compelling way, especially on the X platform, the everything app. In the past, we used to spend a bunch of time hand-crafting images and illustrations for social cards. Our design team built an internal agent and web ui using v0 and Claude Code that makes this process fully self-serve. It even includes a previewer of what the final artifact will look like on X. It's called Leap. It's probably saved us hundreds of hours of work but also massively raised our quality bar. The artifacts it produces are beautiful. If you had asked me even 12 months ago whether our design team would be building their own design tools, let alone be this good, I would call bs. There was no master plan, or God forbid, a "sprint" to make this happen. It just took a handful of prompts to build and it propagated on Slack. Leap is now one of the many agents that helps us run our company more smoothly, built and securely deployed on Vercel for our internal use.

Guillermo Rauch

208,229 次观看 • 5 个月前

Episode 4 of How I AI is live featuring Joel Unger Lead Designer at Atlassian showing us how he uses AI to prototype complex interactions for his work on Trello and deliver on urgent, last minute asks, fast. This one is for desig, pm & eng who care about detail & polish ✨ In this ep you’ll learn - when to take designs out of figma and into cursor - how to hand off prototypes to engineers - a trick to recreating animated gifs in cursor - prompts to generate masked logos in crazy environments in midjourney - the challenges of generating consistent illustrated puppies w AI Check it out in the links below 👇🔗 As always, a big thanks to our sponsors: 🔃 Paragon ship every SaaS integration your customers want 💼 WorkOS make your app enterprise-ready today
0:31

Episode 4 of How I AI is live featuring Joel Unger Lead Designer at Atlassian showing us how he uses AI to prototype complex interactions for his work on Trello and deliver on urgent, last minute asks, fast. This one is for desig, pm & eng who care about detail & polish ✨ In this ep you’ll learn - when to take designs out of figma and into cursor - how to hand off prototypes to engineers - a trick to recreating animated gifs in cursor - prompts to generate masked logos in crazy environments in midjourney - the challenges of generating consistent illustrated puppies w AI Check it out in the links below 👇🔗 As always, a big thanks to our sponsors: 🔃 Paragon ship every SaaS integration your customers want 💼 WorkOS make your app enterprise-ready today

claire vo 🖤

74,972 次观看 • 1 年前