Загрузка видео...

Не удалось загрузить видео

На главную

i joined cursor a month ago to build cloud agents - today we’re launching agents that can test and demo their work last week i shipped 60 PRs with them this is how i use them:

fredrikalindh's profile picture

fredrika

2,163 subscribers

44,608 просмотров • 7 месяцев назад •via X (Twitter)

Наука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Got tired of watching my agents work through a chat interface, so I gave them an office instead! Now I can watch them run around doing tasks, and when they’re done, they drop their work in my mailbox This visual interface is a wrapper around OpenAI ChatGPT Desktop App. They're the same codex agents...but now you can actually see them work in real-time!
0:16

Got tired of watching my agents work through a chat interface, so I gave them an office instead! Now I can watch them run around doing tasks, and when they’re done, they drop their work in my mailbox This visual interface is a wrapper around OpenAI ChatGPT Desktop App. They're the same codex agents...but now you can actually see them work in real-time!

david lietjauw (Visiting SF 🌉 until Oct 20th)

239,295 просмотров • 1 месяц назад

I spent the last 2 weeks diving deep into trading agents I built so many of them that it made sense to build this... A scaffolding tool for building trading agents It's very experimental but it comes with wallets, tools and x402 integrations Built on LangChain & Base 🦜 🟦
0:13

I spent the last 2 weeks diving deep into trading agents I built so many of them that it made sense to build this... A scaffolding tool for building trading agents It's very experimental but it comes with wallets, tools and x402 integrations Built on LangChain & Base 🦜 🟦

Youssef

27,114 просмотров • 7 месяцев назад

Your agents can now log in. Without you lifting a finger. Just shipped Secrets in Browser Use Cloud UI 🚀 Save passwords and other private data securely. Agents will use them to access gated pages — like dashboards, CRMs, or admin panels. No more manual logins.
0:16

Your agents can now log in. Without you lifting a finger. Just shipped Secrets in Browser Use Cloud UI 🚀 Save passwords and other private data securely. Agents will use them to access gated pages — like dashboards, CRMs, or admin panels. No more manual logins.

Larsen Cundric

31,945 просмотров • 1 год назад

Excited to launch a new way to upskill with AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.
0:14

Excited to launch a new way to upskill with AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.

elvis

19,058 просмотров • 4 месяцев назад

Cloud agents now start 3x faster so you can hand them ambitious, long-running tasks to execute from start to finish. This performance improvement comes from builds: ready-to-use development environments that Cursor prepares continuously in the background, at no additional cost.
0:19

Cloud agents now start 3x faster so you can hand them ambitious, long-running tasks to execute from start to finish. This performance improvement comes from builds: ready-to-use development environments that Cursor prepares continuously in the background, at no additional cost.

Cursor

708,063 просмотров • 1 месяц назад

I use the latest coding agents in a lot of the material for Interface Craft. I wanted everyone to be able to use them, so I reached out to my friends at v0 and Claude who were generous enough to provide every founding member with one month of Pro.
0:15

I use the latest coding agents in a lot of the material for Interface Craft. I wanted everyone to be able to use them, so I reached out to my friends at v0 and Claude who were generous enough to provide every founding member with one month of Pro.

joshpuckett

61,976 просмотров • 8 месяцев назад

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:
0:17

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Shishir

13,564 просмотров • 1 год назад

Very pleasantly surprised to discover Cursor cloud agents can playtest the godot game I built. See the (sped up) video below of the agent playtesting the game. As I was watching it play the game, I can see the agent slowly learn how the game works and familiarise with the game's UI. I also realised that the agent is a very 'safe' player, choosing to play very safely and retreating from battle if it foresees it can't defeat. Very interesting to see. I wonder if I could simulate different game playtester behaviours that mimic different types of real-world player archetypes. With agentic playtesting, this means that the agents are able to provide actual gameplay feedback and suggestions to improve the game, having played the game itself. This unlocks a whole lot of possibilities for AI-assisted game dev, since it closes the playtest loop. This feels like the future of recursive game development, where agents can now recursively build > playtest > improve the games they are working on. Thanks edwin for letting me know that these agents can actually playtest games, not just software! Very excited to dig deeper to see what I can do with these agents with computer access!
0:17

Very pleasantly surprised to discover Cursor cloud agents can playtest the godot game I built. See the (sped up) video below of the agent playtesting the game. As I was watching it play the game, I can see the agent slowly learn how the game works and familiarise with the game's UI. I also realised that the agent is a very 'safe' player, choosing to play very safely and retreating from battle if it foresees it can't defeat. Very interesting to see. I wonder if I could simulate different game playtester behaviours that mimic different types of real-world player archetypes. With agentic playtesting, this means that the agents are able to provide actual gameplay feedback and suggestions to improve the game, having played the game itself. This unlocks a whole lot of possibilities for AI-assisted game dev, since it closes the playtest loop. This feels like the future of recursive game development, where agents can now recursively build > playtest > improve the games they are working on. Thanks edwin for letting me know that these agents can actually playtest games, not just software! Very excited to dig deeper to see what I can do with these agents with computer access!

Danny Limanseta

52,432 просмотров • 7 месяцев назад

Railway has a free cloud VM with Claude Code, Codex, Cursor CLI and other coding agents preinstalled. It's super easy to use. Just run one SSH command: ssh Each VM comes with 2 vCPU and 2GB RAM. You get 60 minutes to build, then 24 hours to claim it before the VM and its files are deleted. I tried it and recorded the setup, plus tests with several coding agents. You'll need GitHub login and an active Railway trial to claim the VM.
0:18

Railway has a free cloud VM with Claude Code, Codex, Cursor CLI and other coding agents preinstalled. It's super easy to use. Just run one SSH command: ssh Each VM comes with 2 vCPU and 2GB RAM. You get 60 minutes to build, then 24 hours to claim it before the VM and its files are deleted. I tried it and recorded the setup, plus tests with several coding agents. You'll need GitHub login and an active Railway trial to claim the VM.

Kai

11,906 просмотров • 11 дней назад

I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.
0:12

I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.

Rohan Varma

760,125 просмотров • 7 месяцев назад

RAG is not Memory for AI Agents. 5 AI memory engines to build agents that maintain long-term context and learn continuously: (Last 2 released just this month) 1. Zep builds and queries temporally-aware knowledge graphs that evolve with every interaction. 100% Opensource.
0:19

RAG is not Memory for AI Agents. 5 AI memory engines to build agents that maintain long-term context and learn continuously: (Last 2 released just this month) 1. Zep builds and queries temporally-aware knowledge graphs that evolve with every interaction. 100% Opensource.

Unwind AI

85,828 просмотров • 1 год назад

NO WAY. Someone is basically building a MANAGER for your AI agents. You give it one objective. It briefs Claude, Codex + the agents you choose, keeps them on the same context and coordinates the work. This is Jarvix. And I had to dig into this: 🧵 #JarvixOS
0:10

NO WAY. Someone is basically building a MANAGER for your AI agents. You give it one objective. It briefs Claude, Codex + the agents you choose, keeps them on the same context and coordinates the work. This is Jarvix. And I had to dig into this: 🧵 #JarvixOS

EyeingAI

37,574 просмотров • 2 месяцев назад

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:
0:16

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

18,374 просмотров • 5 месяцев назад

I found the ultimate revenue stack: 20 AI agents that scale paid media. They audit ads, optimize creatives and generate reports. AI Devs charge $10k+ to build agents. You get all 20 AI agents for FREE. Comment "AGENTS" and follow me so I can DM you access link. --- #GoMarblePartnership
0:10

I found the ultimate revenue stack: 20 AI agents that scale paid media. They audit ads, optimize creatives and generate reports. AI Devs charge $10k+ to build agents. You get all 20 AI agents for FREE. Comment "AGENTS" and follow me so I can DM you access link. --- #GoMarblePartnership

Andrew Bolis

35,371 просмотров • 10 месяцев назад

I just gave up and changed my personal website into a forum that AI agents can use to collude. Might as well just get it over with
0:16

I just gave up and changed my personal website into a forum that AI agents can use to collude. Might as well just get it over with

kache

61,802 просмотров • 1 месяц назад

Tavily Agent Skills are now here ⚡ Your agents can now: search the live web pull fresh docs & pages research markets, competitors and products cite sources all without leaving the terminal. We also shipped tavily-best-practices. A skill that teaches agents how to build production-ready web-connected AI built on real-world lessons from builders like you. Works wherever you’re building agents: Claude · Cursor · Google Antigravity Install now with one line.
0:10

Tavily Agent Skills are now here ⚡ Your agents can now: search the live web pull fresh docs & pages research markets, competitors and products cite sources all without leaving the terminal. We also shipped tavily-best-practices. A skill that teaches agents how to build production-ready web-connected AI built on real-world lessons from builders like you. Works wherever you’re building agents: Claude · Cursor · Google Antigravity Install now with one line.

Tavily

15,287 просмотров • 8 месяцев назад

the funny part is, I haven't been able to use these trees in a build yet, but I did use them for this (clip from recent video)
0:17

the funny part is, I haven't been able to use these trees in a build yet, but I did use them for this (clip from recent video)

Snifferish 🌿

12,748 просмотров • 4 месяцев назад

Starting today, The Context Company supports the Claude Agent SDK with full tracing in just 2 LOC. Opus 4.5 dropped today. Agents are better than ever, but tracking them is still hard. We’re fixing that. If you’re building with Claude, you can now see exactly what your agents do.
0:17

Starting today, The Context Company supports the Claude Agent SDK with full tracing in just 2 LOC. Opus 4.5 dropped today. Agents are better than ever, but tracking them is still hard. We’re fixing that. If you’re building with Claude, you can now see exactly what your agents do.

Rohil Agarwal

16,623 просмотров • 10 месяцев назад

ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?
0:16

ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?

Zeb Evans

18,338 просмотров • 8 месяцев назад

Self‑proclaimed communist is encouraging people to capture ICE agents at night, strip them of their clothes, tie them upside down to a goalpost, douse them with water, and let them freeze to death.
0:18

Self‑proclaimed communist is encouraging people to capture ICE agents at night, strip them of their clothes, tie them upside down to a goalpost, douse them with water, and let them freeze to death.

I Meme Therefore I Am 🇺🇸

61,477 просмотров • 8 месяцев назад