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Ropilot is essentially just Claude Code, repackaged at $50/month, on top of charging you per action. As a benchmark, a single prompt can easily consume hundreds of actions (often ~500). In practice, you’re paying more for less. That’s not innovation - that’s repackaging. In this video, Superbullet demonstrates that...

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Froredion

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17,835 görüntüleme • 7 ay önce •via X (Twitter)

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Turn your idea into a Roblox game. Introducing SuperbulletAI — with 29,000+ users already and has been battle-tested already through 6 months of beta. 3D Assets. Animations. Sound. VFX. Maps. Coding Logic. All orchestrated by many specialized AI agents. Just describe the game you want to create, and it will build your game in 1 prompt.
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Turn your idea into a Roblox game. Introducing SuperbulletAI — with 29,000+ users already and has been battle-tested already through 6 months of beta. 3D Assets. Animations. Sound. VFX. Maps. Coding Logic. All orchestrated by many specialized AI agents. Just describe the game you want to create, and it will build your game in 1 prompt.

Froredion

16,348 görüntüleme • 7 ay önce

You can release 1,000 games on Roblox, but if they're all this low quality, none of them are going to succeed. Use AI for the programming all you want, but it won't save a game that's fundamentally bad. There are plenty of successful games that use AI as part of the development process, but they still have someone with a solid understanding of programming and game design guiding the AI toward a quality product. AI is a tool, not a replacement for good judgment or experience. If the game itself isn't fun, polished, or well designed, it simply isn't going to do well.
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You can release 1,000 games on Roblox, but if they're all this low quality, none of them are going to succeed. Use AI for the programming all you want, but it won't save a game that's fundamentally bad. There are plenty of successful games that use AI as part of the development process, but they still have someone with a solid understanding of programming and game design guiding the AI toward a quality product. AI is a tool, not a replacement for good judgment or experience. If the game itself isn't fun, polished, or well designed, it simply isn't going to do well.

Surfer

46,269 görüntüleme • 2 ay önce

I wanted to see how far you can take the idea of “just describe a game.” So I gave Gear Zero a game concept in plain English and watched it go from an idea to a playable game in the browser. No game engine. No coding. No project files. No setup. Gear’s AI handles the planning, code, visuals, and level building and the first version can come together in around 20 minutes. But that’s not even the part I find most interesting. You can keep talking to it, ask for changes, refine the gameplay, and keep building on the same game instead of starting over every time. And because it’s designed for collaboration, other people can join the conversation and help shape the game too. That makes Gear Zero feel less like a one-click AI game generator and more like an AI-powered game-building workspace. If you’ve ever had a game idea but never opened a game engine, this is worth trying: Gear Zero
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I wanted to see how far you can take the idea of “just describe a game.” So I gave Gear Zero a game concept in plain English and watched it go from an idea to a playable game in the browser. No game engine. No coding. No project files. No setup. Gear’s AI handles the planning, code, visuals, and level building and the first version can come together in around 20 minutes. But that’s not even the part I find most interesting. You can keep talking to it, ask for changes, refine the gameplay, and keep building on the same game instead of starting over every time. And because it’s designed for collaboration, other people can join the conversation and help shape the game too. That makes Gear Zero feel less like a one-click AI game generator and more like an AI-powered game-building workspace. If you’ve ever had a game idea but never opened a game engine, this is worth trying: Gear Zero

Md Riyazuddin

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I gave an AI one instruction: “Build me a playable 3D game from scratch.” Then I let it cook. 👀 I tested Tencent Hy4 preview inside WorkBuddy, and it went way beyond just generating a few snippets of code. It could: → Plan the game structure → Generate the code across files → Create the UI and interactions → Debug problems along the way → Iterate on the project while keeping context That last part is what caught my attention. Hy4 preview is built for these long-horizon tasks, with 770B total parameters, 49B active parameters, and a 1M-token context window. It’s designed for coding agents, game development, tool use, research, and other workflows where the model has to actually do the work, not just answer a prompt. And right now, you can try Hy4 preview for free on WorkBuddy until September 10. If you want to see how far an AI agent can take a real project, try it yourself: See what you can build with it. Tencent AI
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I gave an AI one instruction: “Build me a playable 3D game from scratch.” Then I let it cook. 👀 I tested Tencent Hy4 preview inside WorkBuddy, and it went way beyond just generating a few snippets of code. It could: → Plan the game structure → Generate the code across files → Create the UI and interactions → Debug problems along the way → Iterate on the project while keeping context That last part is what caught my attention. Hy4 preview is built for these long-horizon tasks, with 770B total parameters, 49B active parameters, and a 1M-token context window. It’s designed for coding agents, game development, tool use, research, and other workflows where the model has to actually do the work, not just answer a prompt. And right now, you can try Hy4 preview for free on WorkBuddy until September 10. If you want to see how far an AI agent can take a real project, try it yourself: See what you can build with it. Tencent AI

Toha Khan

66,214 görüntüleme • 20 gün önce

Claude Code is the OpenClaw alternative you already had. I've been telling people this in person for three months. Now it's a piece on Every 📧. When OpenClaw was at peak hype a few months ago, everyone was going crazy over it — for good reasons. But almost nobody made the obvious comparison: Claude Code already does the thing you love about OpenClaw. In a lot of cases, better. Here's why people missed it. You have to understand the difference between a model and a harness. OpenClaw, at the end of the day, is just a harness on top of AI models. And Claude Code is too — it just got marketed as a coding tool, an alternative to Cursor. Until Cowork launched, almost nobody looked at it as a tool for non-programmers. Dan Shipper 📧 was one of the earliest to make that claim, and he was damn right. Let Claude Code run from the home folder of your computer with free access, and you get exactly what made OpenClaw exciting. Instead of just arguing it, here's a video walkthrough of a couple of my AI employees i built on the Claude Code harness. And here's the full article:
8:31

Claude Code is the OpenClaw alternative you already had. I've been telling people this in person for three months. Now it's a piece on Every 📧. When OpenClaw was at peak hype a few months ago, everyone was going crazy over it — for good reasons. But almost nobody made the obvious comparison: Claude Code already does the thing you love about OpenClaw. In a lot of cases, better. Here's why people missed it. You have to understand the difference between a model and a harness. OpenClaw, at the end of the day, is just a harness on top of AI models. And Claude Code is too — it just got marketed as a coding tool, an alternative to Cursor. Until Cowork launched, almost nobody looked at it as a tool for non-programmers. Dan Shipper 📧 was one of the earliest to make that claim, and he was damn right. Let Claude Code run from the home folder of your computer with free access, and you get exactly what made OpenClaw exciting. Instead of just arguing it, here's a video walkthrough of a couple of my AI employees i built on the Claude Code harness. And here's the full article:

Nityesh

22,895 görüntüleme • 3 ay önce

"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst MCP ✅ How to give the analyst both data + context ✅ Exclusive Brex data on which AI tools are crushing it in startups and enterprise Some quotes from Sumeet: "I've set up dashboards many times in my career. They end up getting ignored. Claude will always read it. Claude will always ask the right questions." "You have to set up Claude Code to not just look at the data. It should be able to search Slack, find the incident, and understand why your metrics look wrong." "This tool is absolutely crushing it based on our data. It's both the startup AND enterprise coding tool of choice." 📌 Watch now:
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"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst MCP ✅ How to give the analyst both data + context ✅ Exclusive Brex data on which AI tools are crushing it in startups and enterprise Some quotes from Sumeet: "I've set up dashboards many times in my career. They end up getting ignored. Claude will always read it. Claude will always ask the right questions." "You have to set up Claude Code to not just look at the data. It should be able to search Slack, find the incident, and understand why your metrics look wrong." "This tool is absolutely crushing it based on our data. It's both the startup AND enterprise coding tool of choice." 📌 Watch now:

Peter Yang

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I usually see AI gaming demos focus on faster asset creation or smarter NPC dialogue. What interests me about PixVerse is that the Game explores a different layer. It looks at how real-time generative video, AI Agents, game mechanics, and user-defined worlds could become part of the experience itself. It is still an early technical exploration, not a finished game engine or complete platform. Access is currently invitation based. If you want to look beyond the usual asset and NPC demos, leave a comment. I have a small batch of codes, so early replies will get priority. If you want to see the experience layer I am referring to, start here:
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I usually see AI gaming demos focus on faster asset creation or smarter NPC dialogue. What interests me about PixVerse is that the Game explores a different layer. It looks at how real-time generative video, AI Agents, game mechanics, and user-defined worlds could become part of the experience itself. It is still an early technical exploration, not a finished game engine or complete platform. Access is currently invitation based. If you want to look beyond the usual asset and NPC demos, leave a comment. I have a small batch of codes, so early replies will get priority. If you want to see the experience layer I am referring to, start here:

Python Developer

33,741 görüntüleme • 2 ay önce

A KID WITH CURSOR AI CAN NOW BUILD A ROBLOX GAME THAT MAKES $150M THIS IS NOT A JOKE Roblox has 80 million players logging in every single day. The platform pays out billions to creators annually. The top games generate seven and eight figure revenues every year. And until recently, building one required years of coding, 3D modeling, sound design, and game development experience. Cursor AI just removed every single one of those requirements. Maps, models, sounds, mechanics, monetization – all of it generated by describing what you want. The AI builds while you direct. Children are already shipping games this way. The Roblox gold rush isn't coming. It's already happening. The people getting in now with AI tools are building the games that will dominate the platform for the next decade. Bookmark this. The video explains exactly how to start.
2:59

A KID WITH CURSOR AI CAN NOW BUILD A ROBLOX GAME THAT MAKES $150M THIS IS NOT A JOKE Roblox has 80 million players logging in every single day. The platform pays out billions to creators annually. The top games generate seven and eight figure revenues every year. And until recently, building one required years of coding, 3D modeling, sound design, and game development experience. Cursor AI just removed every single one of those requirements. Maps, models, sounds, mechanics, monetization – all of it generated by describing what you want. The AI builds while you direct. Children are already shipping games this way. The Roblox gold rush isn't coming. It's already happening. The people getting in now with AI tools are building the games that will dominate the platform for the next decade. Bookmark this. The video explains exactly how to start.

SCOTTY BEAM

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I built a real app today by describing what I wanted in plain English. That’s the promise of Replit ⠕. You start with an idea. You explain it in natural language. Replit turns it into a working app with hosting, auth, data, and AI already wired in. No setup. No tool switching. No fragile prototypes. What stood out is how far you can take it. From a rough concept to something you can actually ship, all in one place. Even on mobile. This is vibe coding as a complete workflow, not a shortcut. If you’ve ever wanted to turn an idea into a real product without friction, this is worth trying. Build here →
0:48

I built a real app today by describing what I wanted in plain English. That’s the promise of Replit ⠕. You start with an idea. You explain it in natural language. Replit turns it into a working app with hosting, auth, data, and AI already wired in. No setup. No tool switching. No fragile prototypes. What stood out is how far you can take it. From a rough concept to something you can actually ship, all in one place. Even on mobile. This is vibe coding as a complete workflow, not a shortcut. If you’ve ever wanted to turn an idea into a real product without friction, this is worth trying. Build here →

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70,662 görüntüleme • 8 ay önce

Just found an open-source tool that lets you see how well an AI can actually use a computer. it’s called OSWorld 2.0. you give the AI a real task on a computer, then watch to see if it can figure everything out and finish it. it gives you: → real computer tasks, not simple questions → tasks that can take many steps to finish → the same computer setup for every AI → websites made for testing → all the files and tasks for free this is also the environment used to test computer-use systems from OpenAI and Anthropic. so if you’re building AI agents, researching computer use, or just want to see what these models can actually do, you can run the same tests yourself instead of relying only on benchmark scores. the labs publish the scores. this repo is where the actual tests come from. bookmark this.
0:25

Just found an open-source tool that lets you see how well an AI can actually use a computer. it’s called OSWorld 2.0. you give the AI a real task on a computer, then watch to see if it can figure everything out and finish it. it gives you: → real computer tasks, not simple questions → tasks that can take many steps to finish → the same computer setup for every AI → websites made for testing → all the files and tasks for free this is also the environment used to test computer-use systems from OpenAI and Anthropic. so if you’re building AI agents, researching computer use, or just want to see what these models can actually do, you can run the same tests yourself instead of relying only on benchmark scores. the labs publish the scores. this repo is where the actual tests come from. bookmark this.

MIKE

14,387 görüntüleme • 13 gün önce

A guy was sitting in a trader chat complaining for the 3rd month straight about his results being basically zero Someone dropped him a link to a wallet 1 bot, $47K in a month, 860 trades per week. He asked: is this even legal? They replied: this is public data, you could have found it yourself Here is what is actually happening 93% of Polymarket users trade by hand. The other 7% automated the process, and they are the ones pulling $11K to $120K per month. And 5% of those 7 never wrote a single line of code. They just copy trades from top wallets through on-chain data The blockchain shows every trade from every account The bot does not sleep, does not tilt, and processes data faster than any human: This is not a question of talent. It is a question of tools. And the tools already exist. No need to build anything from scratch That guy from the chat is now in that 7%. All he did was stop clicking by hand
0:23

A guy was sitting in a trader chat complaining for the 3rd month straight about his results being basically zero Someone dropped him a link to a wallet 1 bot, $47K in a month, 860 trades per week. He asked: is this even legal? They replied: this is public data, you could have found it yourself Here is what is actually happening 93% of Polymarket users trade by hand. The other 7% automated the process, and they are the ones pulling $11K to $120K per month. And 5% of those 7 never wrote a single line of code. They just copy trades from top wallets through on-chain data The blockchain shows every trade from every account The bot does not sleep, does not tilt, and processes data faster than any human: This is not a question of talent. It is a question of tools. And the tools already exist. No need to build anything from scratch That guy from the chat is now in that 7%. All he did was stop clicking by hand

Blaze

36,941 görüntüleme • 6 ay önce

Jones: Everything you hear from Tuberville is framed as a sports analogy. When you view everything that way, you’re always stuck in an us-versus-them, winners-versus-losers mentality. That’s how he operates. But people’s health care in Alabama is not a game. Their education is not a game. The fact that communities across Alabama are suffering is not a game. This is not a sports metaphor. Alabama is not a stadium, and we are not a scoreboard. We’re all supposed to be working together to have a better state. This guy doesn’t even live in Alabama. If he did, he would have proved it by now. So how can you expect to be a governor for all the people of Alabama if you spend all of your time down on the beach in Florida?
1:20

Jones: Everything you hear from Tuberville is framed as a sports analogy. When you view everything that way, you’re always stuck in an us-versus-them, winners-versus-losers mentality. That’s how he operates. But people’s health care in Alabama is not a game. Their education is not a game. The fact that communities across Alabama are suffering is not a game. This is not a sports metaphor. Alabama is not a stadium, and we are not a scoreboard. We’re all supposed to be working together to have a better state. This guy doesn’t even live in Alabama. If he did, he would have proved it by now. So how can you expect to be a governor for all the people of Alabama if you spend all of your time down on the beach in Florida?

Acyn

62,198 görüntüleme • 9 ay önce

"I built a $250,000 SaaS in 4 months with AI and barely knew how to code." I'm starting to think that a coding ide like cursor/windsurf can become the everything app for creators this custom mode wrote a linkedin post that reads better than tools charging $50+ a month it can do it's own research using web searches or using the brave mcp with a free api key it's not hard to imagine that I could also hook this up to an mcp to create posts on linkedin and have my publishing schedule managed from a json file inside cursor yes, linkedin is cringe, but this is just the beginning of what will be possible soon i'm not gonna say that mcp is "wild" or "this changes everything" but it's quite exciting to see how this is going to be used
0:21

"I built a $250,000 SaaS in 4 months with AI and barely knew how to code." I'm starting to think that a coding ide like cursor/windsurf can become the everything app for creators this custom mode wrote a linkedin post that reads better than tools charging $50+ a month it can do it's own research using web searches or using the brave mcp with a free api key it's not hard to imagine that I could also hook this up to an mcp to create posts on linkedin and have my publishing schedule managed from a json file inside cursor yes, linkedin is cringe, but this is just the beginning of what will be possible soon i'm not gonna say that mcp is "wild" or "this changes everything" but it's quite exciting to see how this is going to be used

Ian Nuttall

25,659 görüntüleme • 1 yıl önce

Someone ran Claude Code on an e-ink notebook and the slowest screen in the world suddenly turned out to be the best home for an AI that already thinks one word at a time. This is the reMarkable Paper Pro, a paper tablet for notes with no browser and no social media and not a single app. He went into it over SSH and brought up Claude Code on Opus 4.8 on Claude Max and typed right into the terminal on the paper screen: "hello reddit, this is ssh terminal on rmpp". For years this screen got slammed for one thing. E-ink is too slow and it draws with a delay and it ghosts and it is no good for real work. But Claude itself puts out a thought one word at a time. And here is what came out of it: the very thing that killed the paper screen for normal software lined up perfectly with the pace of the AI. There is no more lag because there is nothing left to lag. And then come the things no monitor can give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it feels like reading a book and not staring into a backlight. Nothing distracts you. Not a single notification and not a single tab and just a cursor and an agent that writes code while you simply watch the page. The charge lasts for days. E-ink barely touches the battery so Claude can grind on a task all night long and the tablet is still alive by morning. And it weighs as much as a notebook. The whole work setup now fits into a bag like a notepad with a stylus on top. Everything on the screen is for real: Claude Code v2.1.162 and bypass permissions on and Opus going off to think on max effort right on the e-ink. In my opinion this is the most unexpected home for an AI this year. Not a farm of graphics cards and not a wall of monitors but a quiet sheet of paper on a coffee table where the most powerful Claude writes code one word at a time like a pen.
0:52

Someone ran Claude Code on an e-ink notebook and the slowest screen in the world suddenly turned out to be the best home for an AI that already thinks one word at a time. This is the reMarkable Paper Pro, a paper tablet for notes with no browser and no social media and not a single app. He went into it over SSH and brought up Claude Code on Opus 4.8 on Claude Max and typed right into the terminal on the paper screen: "hello reddit, this is ssh terminal on rmpp". For years this screen got slammed for one thing. E-ink is too slow and it draws with a delay and it ghosts and it is no good for real work. But Claude itself puts out a thought one word at a time. And here is what came out of it: the very thing that killed the paper screen for normal software lined up perfectly with the pace of the AI. There is no more lag because there is nothing left to lag. And then come the things no monitor can give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it feels like reading a book and not staring into a backlight. Nothing distracts you. Not a single notification and not a single tab and just a cursor and an agent that writes code while you simply watch the page. The charge lasts for days. E-ink barely touches the battery so Claude can grind on a task all night long and the tablet is still alive by morning. And it weighs as much as a notebook. The whole work setup now fits into a bag like a notepad with a stylus on top. Everything on the screen is for real: Claude Code v2.1.162 and bypass permissions on and Opus going off to think on max effort right on the e-ink. In my opinion this is the most unexpected home for an AI this year. Not a farm of graphics cards and not a wall of monitors but a quiet sheet of paper on a coffee table where the most powerful Claude writes code one word at a time like a pen.

Blaze

424,158 görüntüleme • 2 ay önce

this woman found a way into a $10K/month AI side hustle and she starts with content that’s already proven, not a blank page. the workflow: find a channel already pulling millions of views, like BabyBus. study which videos are actually working. then connect Claude to Higgsfield through a custom MCP connector now Claude isn’t just suggesting ideas, it can trigger the actual generation tools. give it the concept. Claude writes the prompts. Higgsfield generates the scenes. out comes a complete animated video, no manual scene-by-scene work. find proven content → study what works → Claude → Higgsfield → generate scenes → publish → repeat. the interesting part isn’t “AI can make cartoons.” everyone knows that already. it’s that the tools are now connected one system operating the entire production chain instead of you being the middleman between five different apps. most people still run: prompt → result. the better version: idea → AI → tools → output → repeat. that’s not making a video. that’s building a system that keeps making them.
0:37

this woman found a way into a $10K/month AI side hustle and she starts with content that’s already proven, not a blank page. the workflow: find a channel already pulling millions of views, like BabyBus. study which videos are actually working. then connect Claude to Higgsfield through a custom MCP connector now Claude isn’t just suggesting ideas, it can trigger the actual generation tools. give it the concept. Claude writes the prompts. Higgsfield generates the scenes. out comes a complete animated video, no manual scene-by-scene work. find proven content → study what works → Claude → Higgsfield → generate scenes → publish → repeat. the interesting part isn’t “AI can make cartoons.” everyone knows that already. it’s that the tools are now connected one system operating the entire production chain instead of you being the middleman between five different apps. most people still run: prompt → result. the better version: idea → AI → tools → output → repeat. that’s not making a video. that’s building a system that keeps making them.

RUX

41,470 görüntüleme • 1 ay önce

👀 I used OpenAI's Code Interpreter to make Flappy Bird 🐦in 7 minutes: Code Interpreter/GPT-4 for code generation. Pre-existing or AI-generated assets for graphics. --- Here's how to make the game in only 6 steps: (1): Enter the following prompt: "write p5.js code for Flappy Bird where you control a yellow bird continuously flying between a series of green pipes. The bird flaps every time you left click the mouse. If the bird falls to the ground or hits a pipe, you lose. This game goes on infinitely until you lose and you get points the further you go". (2): Use generative AI or existing game assets and spirits. I searched "flappy bird assets" on Google and used the first link, a GitHub repo with pngs from the original Flappy Bird. (3): Use this prompt to link assets to the code: "Please generate the entire file again based on the fact I'm using a unique background, spirits for the bird, and pipes. Here is the list of assets I'm using: [list of file names]." Code Interpreter should modify the code accordingly to include the list of file names. (4) Make an account OpenProcessing -> create a sketch -> paste in the code generated by Code Interpreter -> upload in-game assets from step (2). (5) (Optional) Ask ChatGPT to make changes to improve the in-game experience e.g., adding a high score, restarting the game when the bird dies, etc. Copy the new code into your OpenProcessing sketch and reload the game. (6) If something doesn't work, ask GPT4 to fix it. Copy and paste the error message and ask it to regenerate the code. --- Bonus Tips: - Iteratively test code. Each time you make a change using Code Interpreter, test the updated code by playing the game so you catch new bugs early. - Learn programming by asking questions: "Act as a senior programmer very good at explaining concepts to a beginner. Tell me how gravity works in this game and how you used code to make this happen."Code Interpreter/GPT4 for code generation. Download Pre-existing assets or generate new images for graphics. Excited to see what you make!
0:25

👀 I used OpenAI's Code Interpreter to make Flappy Bird 🐦in 7 minutes: Code Interpreter/GPT-4 for code generation. Pre-existing or AI-generated assets for graphics. --- Here's how to make the game in only 6 steps: (1): Enter the following prompt: "write p5.js code for Flappy Bird where you control a yellow bird continuously flying between a series of green pipes. The bird flaps every time you left click the mouse. If the bird falls to the ground or hits a pipe, you lose. This game goes on infinitely until you lose and you get points the further you go". (2): Use generative AI or existing game assets and spirits. I searched "flappy bird assets" on Google and used the first link, a GitHub repo with pngs from the original Flappy Bird. (3): Use this prompt to link assets to the code: "Please generate the entire file again based on the fact I'm using a unique background, spirits for the bird, and pipes. Here is the list of assets I'm using: [list of file names]." Code Interpreter should modify the code accordingly to include the list of file names. (4) Make an account OpenProcessing -> create a sketch -> paste in the code generated by Code Interpreter -> upload in-game assets from step (2). (5) (Optional) Ask ChatGPT to make changes to improve the in-game experience e.g., adding a high score, restarting the game when the bird dies, etc. Copy the new code into your OpenProcessing sketch and reload the game. (6) If something doesn't work, ask GPT4 to fix it. Copy and paste the error message and ask it to regenerate the code. --- Bonus Tips: - Iteratively test code. Each time you make a change using Code Interpreter, test the updated code by playing the game so you catch new bugs early. - Learn programming by asking questions: "Act as a senior programmer very good at explaining concepts to a beginner. Tell me how gravity works in this game and how you used code to make this happen."Code Interpreter/GPT4 for code generation. Download Pre-existing assets or generate new images for graphics. Excited to see what you make!

Alex Ker 🔭

739,874 görüntüleme • 3 yıl önce

do you understand what just shipped? → AI agents can now design directly on Figma’s canvas. not cheesy mockups… or lame screenshots… real native Figma assets wired to your actual design system → the use_figma MCP tool lets Claude Code, Codex, Cursor, and 6 other coding agents write directly to your Figma files → agents read your component library first and build with what already exists… variables, tokens, auto layout, the works → skills let you teach agents HOW your team designs. a skill is just a markdown file… anyone who understands Figma can write one → also works with Copilot CLI, Copilot in VS Code, Factory, Firebender, Augment, and Warp → free during beta… usage based pricing coming later the design to code gap that’s haunted every product team just collapsed in front of our eyes. designers hand off to agents now no need to wait on developers anymore everyone can take a deep breath now if you’re building products and not connecting Figma to your agents yet, you’re leaving serious speed on the table. set this up today. you’ll thank me later
0:23

do you understand what just shipped? → AI agents can now design directly on Figma’s canvas. not cheesy mockups… or lame screenshots… real native Figma assets wired to your actual design system → the use_figma MCP tool lets Claude Code, Codex, Cursor, and 6 other coding agents write directly to your Figma files → agents read your component library first and build with what already exists… variables, tokens, auto layout, the works → skills let you teach agents HOW your team designs. a skill is just a markdown file… anyone who understands Figma can write one → also works with Copilot CLI, Copilot in VS Code, Factory, Firebender, Augment, and Warp → free during beta… usage based pricing coming later the design to code gap that’s haunted every product team just collapsed in front of our eyes. designers hand off to agents now no need to wait on developers anymore everyone can take a deep breath now if you’re building products and not connecting Figma to your agents yet, you’re leaving serious speed on the table. set this up today. you’ll thank me later

klöss

101,073 görüntüleme • 6 ay önce

This Chinese developer runs 9 agents on Claude Code under a GPT-5.5 orchestrator and they close 500 client tasks a month without a single assistant. His client work is closed without him, on a single laptop and only three subscriptions. The entire system lives on one MacBook Pro M4 with 128 GB of memory and subscriptions to Claude Code and GPT-5.5 cost him approximately $300 a month. There is no CRM, no team, no office only a terminal window with 9 parallel streams. The orchestrator works with a simple system prompt: «You are the orchestrator of a client inbox. Classify every incoming email into 4 categories: code, content, analysis, communication. Delegate to the corresponding worker agent. When the result is ready, check it for completeness, send it to the client on my behalf, and mark the task as closed. Do not ask clarifying questions.» And the orchestrator checks the inbox every 30 seconds, classifies fresh emails, and distributes them to 9 worker agents on Claude Code, each of whom is responsible for their own class of tasks. Here is an example of how one of them closes a request to refactor a client's auth module: Task: refactor user-auth module Broke the monolith into 3 files by responsibilities Added unit tests, coverage increased to 87% Renamed 4 functions to camelCase according to the style guide PR is ready for review, link below» And so about 50 cycles a day. By noon 25 tasks are closed, by dinner 50, and by the end of the month 500. On average, it takes about 7 minutes from the appearance of an email in the inbox to sending the result to the client. This is more than what a live team of 6 developers, copywriters and analysts working 8 hours a day closes. This is no longer an agency. This is a workstation where an orchestrator replaces a manager, and 9 worker agents replace the staff. The pipeline goes from inbox to closing 500 times a month without human participation at any step.
1:32

This Chinese developer runs 9 agents on Claude Code under a GPT-5.5 orchestrator and they close 500 client tasks a month without a single assistant. His client work is closed without him, on a single laptop and only three subscriptions. The entire system lives on one MacBook Pro M4 with 128 GB of memory and subscriptions to Claude Code and GPT-5.5 cost him approximately $300 a month. There is no CRM, no team, no office only a terminal window with 9 parallel streams. The orchestrator works with a simple system prompt: «You are the orchestrator of a client inbox. Classify every incoming email into 4 categories: code, content, analysis, communication. Delegate to the corresponding worker agent. When the result is ready, check it for completeness, send it to the client on my behalf, and mark the task as closed. Do not ask clarifying questions.» And the orchestrator checks the inbox every 30 seconds, classifies fresh emails, and distributes them to 9 worker agents on Claude Code, each of whom is responsible for their own class of tasks. Here is an example of how one of them closes a request to refactor a client's auth module: Task: refactor user-auth module Broke the monolith into 3 files by responsibilities Added unit tests, coverage increased to 87% Renamed 4 functions to camelCase according to the style guide PR is ready for review, link below» And so about 50 cycles a day. By noon 25 tasks are closed, by dinner 50, and by the end of the month 500. On average, it takes about 7 minutes from the appearance of an email in the inbox to sending the result to the client. This is more than what a live team of 6 developers, copywriters and analysts working 8 hours a day closes. This is no longer an agency. This is a workstation where an orchestrator replaces a manager, and 9 worker agents replace the staff. The pipeline goes from inbox to closing 500 times a month without human participation at any step.

Blaze

29,917 görüntüleme • 4 ay önce

I solved building decks with AI agents — by giving them a CLI tool like Powerpoint or Google Slides. AI could already make a beautiful deck if you asked it to using Ant's pptx skill. The problem was working with it. If it made one alignment mistake, fixing it on one slide would break something on another, and it became a game of whack-a-mole. One time I spent two days playing AI roulette, hoping the next prompt would finally fix the thing, and ended up building the whole deck by hand because I was on a deadline. So I built Hands-on Deck. And the reason it works is that this isn't just a skill — this is PowerPoint. The actual application: PowerPoint, Google Slides, Keynote, whatever you use. This is that, but for an agent, presented as a CLI. Every gesture you make in a deck app maps to a command. Click a box and type, drag a shape from here to there, look at a slide – agent can do it all in a command. And that changes how the agent behaves. With this CLI it works and thinks like a designer — it looks, makes an edit, looks again, makes another surgical edit. Compare that to Anthropic's pptx skill, built on the idea that Claude is a great programmer: it literally writes code to manipulate the deck, hand-editing XML and hoping it doesn't break anything else in the middle. The real test isn't creating something once — it's whether it can make surgical edits like you want. That's what I did in this video walkthrough and my claude crushed it! Check it out for yourself. So decks can be built like a designer now — with real flavor and taste. If you spend hours every week on decks, this gives those hours back. You can install it as a skill in Claude Code, Codex, whatever you use. Works every harness that supports skills. Let me know if you make something cool with it.
21:00

I solved building decks with AI agents — by giving them a CLI tool like Powerpoint or Google Slides. AI could already make a beautiful deck if you asked it to using Ant's pptx skill. The problem was working with it. If it made one alignment mistake, fixing it on one slide would break something on another, and it became a game of whack-a-mole. One time I spent two days playing AI roulette, hoping the next prompt would finally fix the thing, and ended up building the whole deck by hand because I was on a deadline. So I built Hands-on Deck. And the reason it works is that this isn't just a skill — this is PowerPoint. The actual application: PowerPoint, Google Slides, Keynote, whatever you use. This is that, but for an agent, presented as a CLI. Every gesture you make in a deck app maps to a command. Click a box and type, drag a shape from here to there, look at a slide – agent can do it all in a command. And that changes how the agent behaves. With this CLI it works and thinks like a designer — it looks, makes an edit, looks again, makes another surgical edit. Compare that to Anthropic's pptx skill, built on the idea that Claude is a great programmer: it literally writes code to manipulate the deck, hand-editing XML and hoping it doesn't break anything else in the middle. The real test isn't creating something once — it's whether it can make surgical edits like you want. That's what I did in this video walkthrough and my claude crushed it! Check it out for yourself. So decks can be built like a designer now — with real flavor and taste. If you spend hours every week on decks, this gives those hours back. You can install it as a skill in Claude Code, Codex, whatever you use. Works every harness that supports skills. Let me know if you make something cool with it.

Nityesh

70,086 görüntüleme • 3 ay önce

Claude Code is terrible at UI design and everyone knows it so this guy fixed it by building an MCP that gives Claude its own AI design tool instead of going back and forth between a design platform and your code editor, Claude now creates the designs itself and drops them straight into your codebase the MCP has full context of your existing design system and project so everything it generates actually matches what you already have. one command to set up and it installs the MCP and skill files so Claude instantly knows how to use it if you're tired of the same Inter font, purple gradient, card grid layout on every project, this is definitely worth trying
0:58

Claude Code is terrible at UI design and everyone knows it so this guy fixed it by building an MCP that gives Claude its own AI design tool instead of going back and forth between a design platform and your code editor, Claude now creates the designs itself and drops them straight into your codebase the MCP has full context of your existing design system and project so everything it generates actually matches what you already have. one command to set up and it installs the MCP and skill files so Claude instantly knows how to use it if you're tired of the same Inter font, purple gradient, card grid layout on every project, this is definitely worth trying

Om Patel

402,762 görüntüleme • 5 ay önce