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"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...

108,220 просмотров • 8 месяцев назад •via X (Twitter)

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✨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 просмотров • 4 месяцев назад

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)

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56,166 просмотров • 1 год назад

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

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