Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

II-Agent builds full-stack websites for you. Next.js + Shadcn frontend, FastAPI backend, NeonDB database. Run local, Docker, or e2b and auto-deploy to Vercel. Reviewer agent tests and fixes on the fly. Open source. One prompt, ship. 🚢

Intelligent Internet

21,689 subscribers

87,341 görüntüleme • 1 yıl önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

9 Yorum

Intelligent Internet profil fotoğrafı

Intelligent Internet1 yıl önce

Sneaker landing page, one prompt. Hero video, smooth animation, fully responsive.

Intelligent Internet profil fotoğrafı

Intelligent Internet1 yıl önce

Multiplayer jigsaw, one prompt. Real-time play, synced state, deploy-ready.

Intelligent Internet profil fotoğrafı

Intelligent Internet1 yıl önce

Crypto dashboard, one prompt. Live data, charts, GPT trends, shipped to Vercel.

Intelligent Internet profil fotoğrafı

Intelligent Internet1 yıl önce

Get started: 🔗 II-Agent GitHub: 🔗 Community Repo:

Intelligent Internet profil fotoğrafı

Intelligent Internet1 yıl önce

What will you build? 👾 Discord: 📽️ Run locally:

Mobile Scanner profil fotoğrafı

Mobile Scanner1 yıl önce

Scan any documents, convert images into text, PDF files, etc. 👍

Crypto Bob profil fotoğrafı

Crypto Bob1 yıl önce

Dynamic websites in just one prompt is insane... we are all developers now!🤯

II FAN profil fotoğrafı

II FAN1 yıl önce

🔥🔥🔥🔥🔥🔥🔥🔥

AIGoldenfinger profil fotoğrafı

AIGoldenfinger1 yıl önce

What a stable-intelligent-Internet-agent is this? What am I missing ... I am confused what to expect...

Benzer Videolar

We built to ship shaders on Now it's open source. ▪︎ Minimal agent-first WebGPU library ▪︎ Run in the browser or headless Node.js ▪︎ Render in CPU sandboxes and CI tests ▪︎ Create reusable .wgsl modules

We built to ship shaders on Now it's open source. ▪︎ Minimal agent-first WebGPU library ▪︎ Run in the browser or headless Node.js ▪︎ Render in CPU sandboxes and CI tests ▪︎ Create reusable .wgsl modules

Vercel

910,107 görüntüleme • 12 gün önce

⚡️ Full-Stack React Starter Template ✨ What’s inside? ⌘ Frontend: Built with React, Vite ⚡, TANSTACK (Router, Query, Table), shadcn, and more ⌘ Backend: Powered by Hono, Drizzle ORM, Neon - Serverless Postgres – 100% type-safe ⌘ Deploy-Ready: Seamless deployment on Vercel 📦 Includes a fully functional Todo app to get you started! 🎉 The complete repo will be Open Source and FREE. Stay tuned!

⚡️ Full-Stack React Starter Template ✨ What’s inside? ⌘ Frontend: Built with React, Vite ⚡, TANSTACK (Router, Query, Table), shadcn, and more ⌘ Backend: Powered by Hono, Drizzle ORM, Neon - Serverless Postgres – 100% type-safe ⌘ Deploy-Ready: Seamless deployment on Vercel 📦 Includes a fully functional Todo app to get you started! 🎉 The complete repo will be Open Source and FREE. Stay tuned!

Bharat Kara

48,852 görüntüleme • 1 yıl önce

Today we're announcing the Vibecode CLI Your OpenClaw (or any agent) can build and deploy up to 20 apps in parallel in a single prompt. Your agent will communicate with Vibecode to build your app(s). Frontend, Backend, Database, Deployments, APIs. Works with OpenClaw, Claude Code, Perplexity Computer, Manus, and any agent with access to a terminal. Just add this to your prompt: "Please use vibecode . dev CLI to build these apps"

Today we're announcing the Vibecode CLI Your OpenClaw (or any agent) can build and deploy up to 20 apps in parallel in a single prompt. Your agent will communicate with Vibecode to build your app(s). Frontend, Backend, Database, Deployments, APIs. Works with OpenClaw, Claude Code, Perplexity Computer, Manus, and any agent with access to a terminal. Just add this to your prompt: "Please use vibecode . dev CLI to build these apps"

vibecode.dev

114,468 görüntüleme • 5 ay önce

Build full-stack sites in 1 prompt with the new II-Agent. Ship editable slides. Call @OpenaI Codex for heavy code. Use any model (BYOK) + any MCP tool, everything runs in isolated @E2B sandboxes. On Github & web preview.

Build full-stack sites in 1 prompt with the new II-Agent. Ship editable slides. Call @OpenaI Codex for heavy code. Use any model (BYOK) + any MCP tool, everything runs in isolated @E2B sandboxes. On Github & web preview.

Intelligent Internet

854,610 görüntüleme • 11 ay önce

🚨 BREAKING: Lovable & Bolt are cooked. This new AI agent builds apps from a single prompt and tests and fixes bugs on its own. Here's what you need to know about Anything:

🚨 BREAKING: Lovable & Bolt are cooked. This new AI agent builds apps from a single prompt and tests and fixes bugs on its own. Here's what you need to know about Anything:

Future Stacked

111,716 görüntüleme • 9 ay önce

ONE PROMPT AND ONE BUTTON NOW BUILDS A FULL SYSTEM, DATABASE, BACKEND, AND FRONTEND INCLUDED Most people still picture AI as something you ask questions to, then copy the answer into your own code by hand. A builder wired Claude into Obsidian through MCP instead, so a single written prompt becomes the actual spec for the system. Claude breaks that prompt into database schema, UI components, and API endpoints on its own, then writes, runs, and fixes the code until it actually works. MCP is what makes this possible, it lets the agent see the filesystem, installed packages, and running services before it starts building anything. The output isn't a code snippet sitting in a chat window, it's a live local app running on its own server, ready to open in a browser. What used to need a backend developer, a DevOps engineer, and two weeks now finishes in under fifteen minutes. See the full architecture and prompt structure below👇

ONE PROMPT AND ONE BUTTON NOW BUILDS A FULL SYSTEM, DATABASE, BACKEND, AND FRONTEND INCLUDED Most people still picture AI as something you ask questions to, then copy the answer into your own code by hand. A builder wired Claude into Obsidian through MCP instead, so a single written prompt becomes the actual spec for the system. Claude breaks that prompt into database schema, UI components, and API endpoints on its own, then writes, runs, and fixes the code until it actually works. MCP is what makes this possible, it lets the agent see the filesystem, installed packages, and running services before it starts building anything. The output isn't a code snippet sitting in a chat window, it's a live local app running on its own server, ready to open in a browser. What used to need a backend developer, a DevOps engineer, and two weeks now finishes in under fifteen minutes. See the full architecture and prompt structure below👇

wast3

20,348 görüntüleme • 1 ay önce

Your Google Maps listing gets views… but you don’t own the traffic. Build a full website or app from a single prompt with Autocoder. Autocoder generates frontend, backend, and database instantly — giving you a ready-to-deploy product in minutes. Features: Prompt → Full App → Deployment ☑️ Fully exportable frontend + backend code ☑️ Export complete source code ☑️ Instant custom domain launch ☑️ Templates for cafes, portfolios, e-commerce & local businesses ☑️ Built-in admin dashboard (manage content, users, bookings) 📈 Turn Google Maps traffic into your own website visitors with Autocoder. ⚡ What you get: • Ready-to-use backend + database (no developer needed) • Built-in admin dashboard to manage content, users, and bookings • Scalable workflow for building sites for multiple local businesses • Full source code export for Pro users to modify or extend AutoCoder.cc #Autocoder #AIWeb #NoCodeAI #WebGenerator

Your Google Maps listing gets views… but you don’t own the traffic. Build a full website or app from a single prompt with Autocoder. Autocoder generates frontend, backend, and database instantly — giving you a ready-to-deploy product in minutes. Features: Prompt → Full App → Deployment ☑️ Fully exportable frontend + backend code ☑️ Export complete source code ☑️ Instant custom domain launch ☑️ Templates for cafes, portfolios, e-commerce & local businesses ☑️ Built-in admin dashboard (manage content, users, bookings) 📈 Turn Google Maps traffic into your own website visitors with Autocoder. ⚡ What you get: • Ready-to-use backend + database (no developer needed) • Built-in admin dashboard to manage content, users, and bookings • Scalable workflow for building sites for multiple local businesses • Full source code export for Pro users to modify or extend AutoCoder.cc #Autocoder #AIWeb #NoCodeAI #WebGenerator

Ai With Piyas

20,612 görüntüleme • 5 ay önce

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

122,548 görüntüleme • 3 ay önce

.InsForge turns your coding agent into a principal backend engineer. Backend servers, database, LLM gateway, frontend deployment, and more. Every primitive built for how coding agents actually work, so they can run your entire infrastructure. Congrats on the launch, Hang Huang & Tony Chang!

.InsForge turns your coding agent into a principal backend engineer. Backend servers, database, LLM gateway, frontend deployment, and more. Every primitive built for how coding agents actually work, so they can run your entire infrastructure. Congrats on the launch, Hang Huang & Tony Chang!

Y Combinator

151,783 görüntüleme • 3 ay önce

No more April Fools jokes, I'm still at Replit ⠕. Now this is real big thing: Replit Agent can now build mobile + web apps in the same project, from one prompt. Mobile and web share the same backend + database. this used to take two frontend teams, with separate stacks, and a backend team. now Replit Agent has been upgraded to handle all. including shipping to web and App Store If you are building your own product, this is my gift for you here are 3 examples with prompt instructions ↓

No more April Fools jokes, I'm still at Replit ⠕. Now this is real big thing: Replit Agent can now build mobile + web apps in the same project, from one prompt. Mobile and web share the same backend + database. this used to take two frontend teams, with separate stacks, and a backend team. now Replit Agent has been upgraded to handle all. including shipping to web and App Store If you are building your own product, this is my gift for you here are 3 examples with prompt instructions ↓

Zhen Li

20,802 görüntüleme • 5 ay önce

this 16-min video course teaches you how to set up your own agent-dev team. it’s free. zero coding. just watch, copy the prompts and deploy. and just like that, you’ll have: • a frontend dev • a backend dev • a QA agent all working for you, ready to build anything.

this 16-min video course teaches you how to set up your own agent-dev team. it’s free. zero coding. just watch, copy the prompts and deploy. and just like that, you’ll have: • a frontend dev • a backend dev • a QA agent all working for you, ready to build anything.

m0h

150,430 görüntüleme • 4 ay önce

10 GitHub repos with 560k+ ⭐ combined stars that could save vibe coders $15,000+/year in SaaS bills 1. shadcn/ui ⭐121k - copy-paste components, not a package. What every AI-generated frontend is actually built on now. 2. supabase ⭐108k - Firebase alternative that's actually free to start. Auth, DB, storage in one Claude Code prompt. 3.open-design ⭐84.5k - open-source Claude Design alternative. Your coding agent becomes the design engine. 4. awesome-ai-agents ⭐29k - every agent framework and no-code builder in one list, ranked by what people actually ship. 5. awesome-generative-ai-apps ⭐3k - 50+ open-source AI apps you can clone, deploy, and monetize instead of paying $30-50/mo for the SaaS version. 6. medusa ⭐35k - full ecommerce backend, open source. Skip Shopify Plus fees entirely on your next vibe-coded store. 7. appwrite ⭐57k - complete backend-as-a-service, self-hosted. Auth, DB, functions, storage, one prompt away from Firebase money. 8. chatwoot ⭐35k - customer support platform, self-hosted. Replaces Intercom/Zendesk seats running $100+/agent/month. 9. nocodb ⭐64k - turns any database into an Airtable-style interface. 10. activepieces ⭐23k - open-source Zapier alternative built for AI workflows. Automate without the per-task pricing. Save this before you pay for another tool this repo already replaces for free 👇

10 GitHub repos with 560k+ ⭐ combined stars that could save vibe coders $15,000+/year in SaaS bills 1. shadcn/ui ⭐121k - copy-paste components, not a package. What every AI-generated frontend is actually built on now. 2. supabase ⭐108k - Firebase alternative that's actually free to start. Auth, DB, storage in one Claude Code prompt. 3.open-design ⭐84.5k - open-source Claude Design alternative. Your coding agent becomes the design engine. 4. awesome-ai-agents ⭐29k - every agent framework and no-code builder in one list, ranked by what people actually ship. 5. awesome-generative-ai-apps ⭐3k - 50+ open-source AI apps you can clone, deploy, and monetize instead of paying $30-50/mo for the SaaS version. 6. medusa ⭐35k - full ecommerce backend, open source. Skip Shopify Plus fees entirely on your next vibe-coded store. 7. appwrite ⭐57k - complete backend-as-a-service, self-hosted. Auth, DB, functions, storage, one prompt away from Firebase money. 8. chatwoot ⭐35k - customer support platform, self-hosted. Replaces Intercom/Zendesk seats running $100+/agent/month. 9. nocodb ⭐64k - turns any database into an Airtable-style interface. 10. activepieces ⭐23k - open-source Zapier alternative built for AI workflows. Automate without the per-task pricing. Save this before you pay for another tool this repo already replaces for free 👇

unicode

47,548 görüntüleme • 1 ay önce

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that builds itself: 10:16 - Build your first AI agent 41:05 - Master prompt engineering 54:45 - Turn agents into graphs 1:20:10 - Run loops inside agent graphs 1:43:33 - Build a graph that builds itself Most people ship one agent and stop there. Google is teaching everything after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read how to run 1,000 agents from one prompt below ↓

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that builds itself: 10:16 - Build your first AI agent 41:05 - Master prompt engineering 54:45 - Turn agents into graphs 1:20:10 - Run loops inside agent graphs 1:43:33 - Build a graph that builds itself Most people ship one agent and stop there. Google is teaching everything after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read how to run 1,000 agents from one prompt below ↓

Lunar

52,271 görüntüleme • 1 ay önce

GPT-Engineer is insane. Simply specify what you want to build with a prompt, and the AI agent builds the entire codebase. It's completely free and open-source, and it's already at nearly 17,000 stars on GitHub 🤯

GPT-Engineer is insane. Simply specify what you want to build with a prompt, and the AI agent builds the entire codebase. It's completely free and open-source, and it's already at nearly 17,000 stars on GitHub 🤯

Rowan Cheung

1,373,664 görüntüleme • 3 yıl önce

Open sourcing the first Expo vibe coding web IDE and SDK: React Native Vibe Code Powered by Claude agent SDK, history rollbacks, live web and native app previews, full stack setup by Convex, publish to web w/ Cloudflare, voice prompting, upload assets to app, add images and files to prompt, model selector, skills loader, visual edits, sandboxing by E2B, download codebase option, Monaco code editor, fork/remix and a CLI to run locally. The project is a Turborepo running Next.js hosted on Vercel with streaming powered by AI SDK ◆ try cloud version at ◆ github repo:

Open sourcing the first Expo vibe coding web IDE and SDK: React Native Vibe Code Powered by Claude agent SDK, history rollbacks, live web and native app previews, full stack setup by Convex, publish to web w/ Cloudflare, voice prompting, upload assets to app, add images and files to prompt, model selector, skills loader, visual edits, sandboxing by E2B, download codebase option, Monaco code editor, fork/remix and a CLI to run locally. The project is a Turborepo running Next.js hosted on Vercel with streaming powered by AI SDK ◆ try cloud version at ◆ github repo:

ROFI

44,523 görüntüleme • 6 ay önce

$Running Claude Code Agents in Docker and it's working great 👏 Just executed this and watched Claude build a complete Express REST API inside an isolated container: npx claude-code-templates@latest --sandbox docker \ --agent development-team/backend-architect \ --prompt "Create a REST API with Express with validation and error handling" - Container spins up - installs Claude Agent SDK - downloads the agent - Claude starts coding Everything visible in Docker logs. Output: Full Express project with routes, validation, error handling. All files extracted to local after execution. Next tutorials: Adding Telemetry and Hooks to monitor what Claude does inside the container. Running these agents on ECS or Kubernetes would be interesting 🤔$

Running Claude Code Agents in Docker and it's working great 👏 Just executed this and watched Claude build a complete Express REST API inside an isolated container: npx claude-code-templates@latest --sandbox docker \ --agent development-team/backend-architect \ --prompt "Create a REST API with Express with validation and error handling" - Container spins up - installs Claude Agent SDK - downloads the agent - Claude starts coding Everything visible in Docker logs. Output: Full Express project with routes, validation, error handling. All files extracted to local after execution. Next tutorials: Adding Telemetry and Hooks to monitor what Claude does inside the container. Running these agents on ECS or Kubernetes would be interesting 🤔

Daniel San

100,028 görüntüleme • 10 ay önce

Google just released free 2-hour course on full Graph engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 10:16 - build your first agent 40% → 41:05 - Prompt engineering 50% → 54:45 - Graph engineering 75% → 1:20:10 - Loop engineering (with graphs) 100% → 1:43:33 - the graph that builds itself most people ship one agent and stop - this is everything after watch it today - then read how to run 1000 agents from one prompt below ↓

Google just released free 2-hour course on full Graph engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 10:16 - build your first agent 40% → 41:05 - Prompt engineering 50% → 54:45 - Graph engineering 75% → 1:20:10 - Loop engineering (with graphs) 100% → 1:43:33 - the graph that builds itself most people ship one agent and stop - this is everything after watch it today - then read how to run 1000 agents from one prompt below ↓

codila

105,393 görüntüleme • 1 ay önce

HERMES AGENT IS THE MOST POWERFUL OPEN SOURCE AI AGENT FRAMEWORK AVAILABLE RIGHT NOW — AND MOST PEOPLE HAVE NO IDEA HOW TO USE IT PROPERLY. This masterclass fixes that completely. From zero to a fully operational autonomous agent system in one sitting. Installation. Skills. Memory. MCP servers. Scheduler. Multi-agent operations. Every section builds on the previous one. The people who read this this weekend will have a production-ready autonomous agent operation running by Monday. Read this and bookmark it now.

HERMES AGENT IS THE MOST POWERFUL OPEN SOURCE AI AGENT FRAMEWORK AVAILABLE RIGHT NOW — AND MOST PEOPLE HAVE NO IDEA HOW TO USE IT PROPERLY. This masterclass fixes that completely. From zero to a fully operational autonomous agent system in one sitting. Installation. Skills. Memory. MCP servers. Scheduler. Multi-agent operations. Every section builds on the previous one. The people who read this this weekend will have a production-ready autonomous agent operation running by Monday. Read this and bookmark it now.

CyrilXBT

34,607 görüntüleme • 3 ay önce

Introducing the Developer’s Guide to AI Agent Protocols. Stop writing custom integration glue for every tool, API, and frontend. We used Google Agent Development Kit to build a B2B agent that handles the full stack using 6 open standards: MCP, A2A, UCP, AP2, A2UI, and AG-UI The future of agents is interoperable. Read the full technical guide here:

Introducing the Developer’s Guide to AI Agent Protocols. Stop writing custom integration glue for every tool, API, and frontend. We used Google Agent Development Kit to build a B2B agent that handles the full stack using 6 open standards: MCP, A2A, UCP, AP2, A2UI, and AG-UI The future of agents is interoperable. Read the full technical guide here:

Google for Developers

116,805 görüntüleme • 5 ay önce