正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

full-stack webapp after... ~113 bolt chats ~1213 cursor chats... no code, pure prompting the raw truth is: AI won't build your whole SAAS for you (u gotta deal w/ auth, emails, backend, security, deployment, client/server-side, etc) except... AI can walk u through all of that too ;)

Paulius 🏴‍☠️

28,245 subscribers

129,068 次观看 • 1 年前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

11 条评论

Paulius 🏴‍☠️ 的头像

Paulius 🏴‍☠️1 年前

60 days ago I was CLUELESS Today it’s a fully deployed app for 150+ users Just do the thing

𝗔𝗹𝗲𝘀𝘀𝗶𝗼 𝗚𝗵𝗲𝗿𝗮𝘀𝗶𝗺 的头像

𝗔𝗹𝗲𝘀𝘀𝗶𝗼 𝗚𝗵𝗲𝗿𝗮𝘀𝗶𝗺1 年前

True, the thing i notice is that if you already have a code background before the ai era your 5 times faster. Like i know were i have to do it or where he will just stumble in infinite loop… Is like talking, a good public talker is one that know how to articulate words in a way that make people understand not one that knows every grammar rule…

Paulius 🏴‍☠️ 的头像

Paulius 🏴‍☠️1 年前

Yh 100x Noobs unlock 0-1 But devs unlock 0-100

Cj Z 🎯 的头像

Cj Z 🎯1 年前

Fellow token burner. 🙌

gigacoded 的头像

gigacoded1 年前

Just build one project in react or another framework and some vanilla css or even tailwind (without AI) And then use AI, your powers will reach new heights

Paulius 🏴‍☠️ 的头像

Paulius 🏴‍☠️1 年前

Leveling up

Tipslo 的头像

Tipslo1 年前

Even a medium skilled developer can make an app what prevents AI from doing it, I have already shipped a production loan management system app, I just know basic Python. But the web app was developed completely in php, Js and html css, if you can improve the prompting you are in

Paulius 🏴‍☠️ 的头像

Paulius 🏴‍☠️1 年前

10000%

Henrik 的头像

Henrik1 年前

With I can do all of that since they have a new integration with @supabase

The Chosen One 的头像

The Chosen One1 年前

Need a YT video on it ASAP.

Paulius 🏴‍☠️ 的头像

Paulius 🏴‍☠️1 年前

@TCOhitesh What’s ur biggest question about it

相关视频

AI is making software development easier than ever. One day, maybe all SaaS will provide only an API key, with no user interface, and your AI will create the interface within your OS. Maybe it's a crazy idea, but it sounds possible (and awesome), so I gave it a try: I shipped 18 new API endpoints for my web analytics SaaS DataFast ✨ All your website data is accessible programmatically: unique visitors, total revenue, pages visited, countries, etc... That way, you can vibe code an entire analytics dashboard with a 1 prompt without worrying about the complexity of the backend! If you build something on top of it, please DM me. I'd love to check it out.

AI is making software development easier than ever. One day, maybe all SaaS will provide only an API key, with no user interface, and your AI will create the interface within your OS. Maybe it's a crazy idea, but it sounds possible (and awesome), so I gave it a try: I shipped 18 new API endpoints for my web analytics SaaS DataFast ✨ All your website data is accessible programmatically: unique visitors, total revenue, pages visited, countries, etc... That way, you can vibe code an entire analytics dashboard with a 1 prompt without worrying about the complexity of the backend! If you build something on top of it, please DM me. I'd love to check it out.

Marc Lou

134,884 次观看 • 6 个月前

Wanna make $10K a month with apps? 💰 You need to know how to create a secure, scalable backend. Gemini 3.0 just made it 10x easier. I just shot a full 2 hour 33 minute breakdown showing exactly how I build real production backends with Cursor AI — routes, auth, databases, background workers, everything — all driven through agents and clean architecture. 🔧 If you’ve ever wondered how to go from “AI-generated code” to an actual backend that can power a real business, the full walkthrough is right here. Take this software for free — it's open-source on GitHub! 🎁 Do you wanna watch this lesson by lesson?

Wanna make $10K a month with apps? 💰 You need to know how to create a secure, scalable backend. Gemini 3.0 just made it 10x easier. I just shot a full 2 hour 33 minute breakdown showing exactly how I build real production backends with Cursor AI — routes, auth, databases, background workers, everything — all driven through agents and clean architecture. 🔧 If you’ve ever wondered how to go from “AI-generated code” to an actual backend that can power a real business, the full walkthrough is right here. Take this software for free — it's open-source on GitHub! 🎁 Do you wanna watch this lesson by lesson?

corbin

59,434 次观看 • 8 个月前

The most complete AI design skill stack is now in Open Design. AI agents can build full apps. But most of them still design like shit. You used to spend more time fixing the design than building the app. And prompting harder does not fix taste. So Open Design integrated the design skills everyone on X is talking about: Taste Skill Hallmark Frontend Design Image-to-Code Design Review 100+ design systems It works locally with 20+ AI CLIs: Codex, Claude Code, Cursor, Gemini CLI, OpenCode, and more. Pick your agent. Generate pages that finally have taste. 👉

The most complete AI design skill stack is now in Open Design. AI agents can build full apps. But most of them still design like shit. You used to spend more time fixing the design than building the app. And prompting harder does not fix taste. So Open Design integrated the design skills everyone on X is talking about: Taste Skill Hallmark Frontend Design Image-to-Code Design Review 100+ design systems It works locally with 20+ AI CLIs: Codex, Claude Code, Cursor, Gemini CLI, OpenCode, and more. Pick your agent. Generate pages that finally have taste. 👉

Open Design

52,206 次观看 • 1 个月前

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

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

Santiago

63,262 次观看 • 1 年前

Software Engineering Expectations for 2026 - The majority of your code should be written by AI now - Cursor/Codex/Claude Code/Gemini/etc - You should try all the tooling and switch between them, as each one gets an edge over the others depending on the release cycle. - You should be using AI to check the code that is written by AI - Have AI write tests - Have AI read logs - Have AI navigate your browser - I don't do this every time because sometimes it's simple enough to check it myself - You should still skim code changes - This can be a lighter skim on internal tools and a heavier read through on customer facing code - Use AI to help you define specs

Software Engineering Expectations for 2026 - The majority of your code should be written by AI now - Cursor/Codex/Claude Code/Gemini/etc - You should try all the tooling and switch between them, as each one gets an edge over the others depending on the release cycle. - You should be using AI to check the code that is written by AI - Have AI write tests - Have AI read logs - Have AI navigate your browser - I don't do this every time because sometimes it's simple enough to check it myself - You should still skim code changes - This can be a lighter skim on internal tools and a heavier read through on customer facing code - Use AI to help you define specs

Ben Awad

534,261 次观看 • 6 个月前

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.

Tanvir

18,160 次观看 • 3 个月前

4 tools. That's literally all you need. You can run a 7-figure SaaS business, solo. Here's the stack I use for 90% of my business ops. 1️⃣ Cursor - Vibe Coding. AI can now do 90% of your product development. 2️⃣ FeedHive - Vibe Marketing. Creates content, predicts performance, helps you show up. 3️⃣ Lindy - Vibe Automation. Everything a VA can do, Lindy can do. 4️⃣ n8n - Operations. Runs the heavy machines, automates everything obvious. That's my stack. It's all you need to run a SaaS business in 2025. The best part? This is economically extremely viable. You can self-host n8n for free. And you can get FeedHive (+4 other tools) on a lifetime deal. Sam Altman is right. We're going to see the first $1B solo business. Until then - go build a 7-figure one! Go to to see how.

4 tools. That's literally all you need. You can run a 7-figure SaaS business, solo. Here's the stack I use for 90% of my business ops. 1️⃣ Cursor - Vibe Coding. AI can now do 90% of your product development. 2️⃣ FeedHive - Vibe Marketing. Creates content, predicts performance, helps you show up. 3️⃣ Lindy - Vibe Automation. Everything a VA can do, Lindy can do. 4️⃣ n8n - Operations. Runs the heavy machines, automates everything obvious. That's my stack. It's all you need to run a SaaS business in 2025. The best part? This is economically extremely viable. You can self-host n8n for free. And you can get FeedHive (+4 other tools) on a lifetime deal. Sam Altman is right. We're going to see the first $1B solo business. Until then - go build a 7-figure one! Go to to see how.

Simon Høiberg

11,137 次观看 • 8 个月前

He built an AI saas with no code. Now it makes $100K per month. The idea? Combine all AI tools into one that people actually want to pay for. I chatted with Dustin W. Stout for a few hours, so here's the top 4% of our conversation: > The $100k MRR saas he built revealed (0:59) > How to build with no coding experience and no money (03:56) > How he validated fast with $3k generated in the first month (04:13) > The no-code software he used to build the entire thing (08:10) > Why your products should not define you (10:13)

He built an AI saas with no code. Now it makes $100K per month. The idea? Combine all AI tools into one that people actually want to pay for. I chatted with Dustin W. Stout for a few hours, so here's the top 4% of our conversation: > The $100k MRR saas he built revealed (0:59) > How to build with no coding experience and no money (03:56) > How he validated fast with $3k generated in the first month (04:13) > The no-code software he used to build the entire thing (08:10) > Why your products should not define you (10:13)

Starter Story

15,356 次观看 • 3 个月前

WeWeb MCP is here. Your favorite AI agents can now build directly inside WeWeb. Bring Claude Code, Cursor, ChatGPT, Codex, Antigravity, or any agent you choose. Your agent can help build secure web apps using WeWeb’s pages, components, workflows, API requests, databases, integrations, auth, storage, and more. You decide what it can work on: the full app, or only specific parts of your project. Everything stays visible and editable in WeWeb, so you can review what was built, make changes visually, and keep maintaining the app with your team. No black box. Open beta starts today.

WeWeb MCP is here. Your favorite AI agents can now build directly inside WeWeb. Bring Claude Code, Cursor, ChatGPT, Codex, Antigravity, or any agent you choose. Your agent can help build secure web apps using WeWeb’s pages, components, workflows, API requests, databases, integrations, auth, storage, and more. You decide what it can work on: the full app, or only specific parts of your project. Everything stays visible and editable in WeWeb, so you can review what was built, make changes visually, and keep maintaining the app with your team. No black box. Open beta starts today.

weweb.io

1,386,257 次观看 • 1 个月前

Elon Musk says smartphones won't exist in 5 years. "We're not going to have a phone in the traditional sense. What we call a phone will really be an edge node for AI inference, with some radios to obviously connect, but essentially you'll have AI on the server side communicating to an AI on your device." "There won't be operating systems, there won't be apps in the future. You've got a device that is there for the screen and audio to put as much AI on the device as possible so as to minimize the amount of bandwidth needed between your edge node device and the servers." "You'll get everything through AI. Whatever you can think of, or really whatever the AI can anticipate you can think of, it'll show you." "It's probably five or six years, something like that."

Elon Musk says smartphones won't exist in 5 years. "We're not going to have a phone in the traditional sense. What we call a phone will really be an edge node for AI inference, with some radios to obviously connect, but essentially you'll have AI on the server side communicating to an AI on your device." "There won't be operating systems, there won't be apps in the future. You've got a device that is there for the screen and audio to put as much AI on the device as possible so as to minimize the amount of bandwidth needed between your edge node device and the servers." "You'll get everything through AI. Whatever you can think of, or really whatever the AI can anticipate you can think of, it'll show you." "It's probably five or six years, something like that."

Metav3rse

645,181 次观看 • 1 个月前

IT WORKS!!!!! A FULL multiplayer with Python websockets server that receives and broadcasts all player positions every 100ms (10 times per second) All code written almost 100% by AI with Cursor and Grok 3 wrote the server code Now you can fly around with everyone else :D It'll probably crash after this tweet but let's try! The reason before it didn't move was it was stale players that already quit and it kept their positions Every red plane is someone real flying now too! 😊

IT WORKS!!!!! A FULL multiplayer with Python websockets server that receives and broadcasts all player positions every 100ms (10 times per second) All code written almost 100% by AI with Cursor and Grok 3 wrote the server code Now you can fly around with everyone else :D It'll probably crash after this tweet but let's try! The reason before it didn't move was it was stale players that already quit and it kept their positions Every red plane is someone real flying now too! 😊

@levelsio

13,465,365 次观看 • 1 年前

This blew my mind: I just built a fully working end-to-end SaaS storefront in ~15 minutes with MeDo — not just a website, but an actual mini-Shopify stack. It generated the full frontend, backend, UI, auth system, product pages, shopping cart, payments flow, and even gave me a product management dashboard. Then I asked it to switch everything to dark mode… and it restyled the whole app in seconds. For $5 you basically get a SaaS factory: store builder, product manager, checkout system, user accounts, responsive design — all generated and wired together automatically. I never touched a line of code. MeDo feels like having a frontend dev, backend dev, designer, and SaaS architect working in sync, powered by Baidu’s enterprise-grade AI stack. Honestly, the generation quality beats what I’ve seen from Lovable at a much lower price point.

This blew my mind: I just built a fully working end-to-end SaaS storefront in ~15 minutes with MeDo — not just a website, but an actual mini-Shopify stack. It generated the full frontend, backend, UI, auth system, product pages, shopping cart, payments flow, and even gave me a product management dashboard. Then I asked it to switch everything to dark mode… and it restyled the whole app in seconds. For $5 you basically get a SaaS factory: store builder, product manager, checkout system, user accounts, responsive design — all generated and wired together automatically. I never touched a line of code. MeDo feels like having a frontend dev, backend dev, designer, and SaaS architect working in sync, powered by Baidu’s enterprise-grade AI stack. Honestly, the generation quality beats what I’ve seen from Lovable at a much lower price point.

Chubby♨️

63,919 次观看 • 8 个月前

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

Defileo🔮

695,073 次观看 • 2 个月前

CLAUDE + CURSOR + REPLIT = MAGIC (FULL VIDEO TUTORIAL) You can now write create complex web apps with just english (No copy - paste) using the BEST AI Code generation tool on the market - Cursor. The only problem with cursor for a coding beginner like me, is that its not that easy to deploy web apps. Well, Replit ⠕ makes deploying web apps and creating templates incredibly easy. In this video goes over how to sync Cursor and Replit. And then using our new template we made an AI version of Trello by Atlassian in like 6 or 7 cursor composer prompts. --------------------- In this video: 00:00 - Intro 04:08 - Syncing Cursor and Replit 07:40 - setting up Firebase 10:27 - Using Cursor and Replit to Create Trello Front End 19:41 - Setting up Backend API endpoint (we will make dedicated video on this soon w/template) 21:09 - Adding AI features to Trello!

CLAUDE + CURSOR + REPLIT = MAGIC (FULL VIDEO TUTORIAL) You can now write create complex web apps with just english (No copy - paste) using the BEST AI Code generation tool on the market - Cursor. The only problem with cursor for a coding beginner like me, is that its not that easy to deploy web apps. Well, Replit ⠕ makes deploying web apps and creating templates incredibly easy. In this video goes over how to sync Cursor and Replit. And then using our new template we made an AI version of Trello by Atlassian in like 6 or 7 cursor composer prompts. --------------------- In this video: 00:00 - Intro 04:08 - Syncing Cursor and Replit 07:40 - setting up Firebase 10:27 - Using Cursor and Replit to Create Trello Front End 19:41 - Setting up Backend API endpoint (we will make dedicated video on this soon w/template) 21:09 - Adding AI features to Trello!

Riley Brown

309,237 次观看 • 1 年前

THIS GUY WIRED GMKTEC EVO-X2 BOXES, A $40 USB-C BRICK AND AN RTX 3090 INTO A $6,800/MONTH OFFLINE AI FARM it looks like a messy rack with purple cables, mini pcs and a gpu lying on the desk. but the real point is brutal: one $1,800 gmktec evo-x2 can replace a $440/month ai stack, then the rack turns it into a local backend. the evo-x2 runs amd’s ryzen ai max+ 395 with 128gb of unified memory shared between cpu, gpu and npu. on linux, that gives up to 110gb of usable vram for local models without renting cloud compute. that is why the setup gets weird. qwen3-coder 30b, llama 3.3 70b, deepseek v3 and 200b-class models can run from boxes smaller than consoles. the rtx 3090 becomes a 24gb side node, not the whole system. the $40 anker nano ii 65w brick is the funny part. cheap power, tiny machines, one old gpu and local inference. the whole stack starts looking less like a workstation and more like a private ai grid. the subscription math is ugly. claude code max is $200/month, chatgpt pro is $200/month, cursor is $20/month and gemini adds another $20. that is $5,280/year before api usage even starts. point claude code at localhost, pull models through ollama and run agents all day: code reviews, scraping, transcription, research reports and client automations. 3 clients at $2,200/month turns this into a $6,800/month backend. bookmark this and read the article below

THIS GUY WIRED GMKTEC EVO-X2 BOXES, A $40 USB-C BRICK AND AN RTX 3090 INTO A $6,800/MONTH OFFLINE AI FARM it looks like a messy rack with purple cables, mini pcs and a gpu lying on the desk. but the real point is brutal: one $1,800 gmktec evo-x2 can replace a $440/month ai stack, then the rack turns it into a local backend. the evo-x2 runs amd’s ryzen ai max+ 395 with 128gb of unified memory shared between cpu, gpu and npu. on linux, that gives up to 110gb of usable vram for local models without renting cloud compute. that is why the setup gets weird. qwen3-coder 30b, llama 3.3 70b, deepseek v3 and 200b-class models can run from boxes smaller than consoles. the rtx 3090 becomes a 24gb side node, not the whole system. the $40 anker nano ii 65w brick is the funny part. cheap power, tiny machines, one old gpu and local inference. the whole stack starts looking less like a workstation and more like a private ai grid. the subscription math is ugly. claude code max is $200/month, chatgpt pro is $200/month, cursor is $20/month and gemini adds another $20. that is $5,280/year before api usage even starts. point claude code at localhost, pull models through ollama and run agents all day: code reviews, scraping, transcription, research reports and client automations. 3 clients at $2,200/month turns this into a $6,800/month backend. bookmark this and read the article below

Gipp 🦅

20,031 次观看 • 1 个月前

Just built 3 PREMIUM SaaS products in a day that would normally cost $20K+ in development fees! Claude 3.7 AI is a game-changer. What I created: • SEO content generator with keyword analysis • Complete agency dashboard with client management • Job board with Firebase authentication • Custom UI that looks better than paid tools • Full backend functionality with data storage Save this video if you're tired of paying for software when you can build better versions yourself 🔥 Want the SOP? DM me.

Just built 3 PREMIUM SaaS products in a day that would normally cost $20K+ in development fees! Claude 3.7 AI is a game-changer. What I created: • SEO content generator with keyword analysis • Complete agency dashboard with client management • Job board with Firebase authentication • Custom UI that looks better than paid tools • Full backend functionality with data storage Save this video if you're tired of paying for software when you can build better versions yourself 🔥 Want the SOP? DM me.

Julian Goldie SEO

11,381 次观看 • 1 年前

Your AI employees are here! MetaGPT not only thinks, but it assigns you a whole AI team of product manager, architecture, engineer, etc based on your prompt. It provides a universal AI chat interface you can use to build software, write blogs, create documents, generate videos, etc. Why I like it and you will too: • everything at one chat interface • chat with each AI agent • Supabase integration • deploy with one click The MetaGPT team is kind enough to give me early access and collaborate with me for this post. In the video below, I am building a quick web application that converts any image to ghibli-style image.

Your AI employees are here! MetaGPT not only thinks, but it assigns you a whole AI team of product manager, architecture, engineer, etc based on your prompt. It provides a universal AI chat interface you can use to build software, write blogs, create documents, generate videos, etc. Why I like it and you will too: • everything at one chat interface • chat with each AI agent • Supabase integration • deploy with one click The MetaGPT team is kind enough to give me early access and collaborate with me for this post. In the video below, I am building a quick web application that converts any image to ghibli-style image.

Pratham

54,106 次观看 • 1 年前

WorkOS: The Enterprise Stack for the AI Era AI companies are just B2B SaaS with a new engine. They monetize like SaaS, sell like SaaS, and scale into the enterprise like SaaS. The difference is velocity. These new products grow so fast that the old playbook of “PLG for years, enterprise later” simply does not work anymore. PMF is no longer enough. Winning your market requires crossing the Enterprise Chasm almost immediately. Enterprise auth, provisioning, RBAC, compliance, billing, IT integrations. If you wait, someone else takes your market while you are still wiring SCIM. This is why WorkOS exists. We give developers the infrastructure they need to scale up-market on day one. Even if you have never touched WorkOS, you have already used it through products like ChatGPT, Perplexity, Cursor and many others. Today we operate 81M+ enterprise user accounts, 67M API calls per day, and 38K+ connected enterprise environments. Modern AI tools already run through WorkOS. At ERC, we unveiled six major launches expanding that foundation for the AI era: • AuthKit for ChatGPT Apps: secure OAuth + MCP so developers can connect real enterprise data to 700M+ weekly ChatGPT users. • AuthKit for Platforms: embed full enterprise identity into frameworks like Supabase and Convex for zero-friction onboarding. • Stripe Usage Sync: actual per-seat billing with no glue code. Data stays consistent and invoices are always correct. • WorkOS Pipes: the fastest and most secure way to ship integrations (Salesforce, Slack, Intercom and more). • Agent-Ready API Keys: scoped, revocable keys designed for both developers and autonomous agents. • WorkOS Studio: vibe coding for the enterprise. A collaborative AI app builder with SSO, SCIM, RBAC, audit logs, workflows and third-party connectors built-in. Internal software at the speed of a prompt. AI has already changed how software gets created. The next shift is changing what software becomes. We are still “filming the play” like early cinema: using new technology to recreate old patterns. The opportunity ahead is to invent entirely new applications that only AI-native development makes possible. WorkOS is building the enterprise infrastructure that lets teams design the next era of software itself. Enterprise-ready AI is where the real acceleration happens. Let’s build that future together.

WorkOS: The Enterprise Stack for the AI Era AI companies are just B2B SaaS with a new engine. They monetize like SaaS, sell like SaaS, and scale into the enterprise like SaaS. The difference is velocity. These new products grow so fast that the old playbook of “PLG for years, enterprise later” simply does not work anymore. PMF is no longer enough. Winning your market requires crossing the Enterprise Chasm almost immediately. Enterprise auth, provisioning, RBAC, compliance, billing, IT integrations. If you wait, someone else takes your market while you are still wiring SCIM. This is why WorkOS exists. We give developers the infrastructure they need to scale up-market on day one. Even if you have never touched WorkOS, you have already used it through products like ChatGPT, Perplexity, Cursor and many others. Today we operate 81M+ enterprise user accounts, 67M API calls per day, and 38K+ connected enterprise environments. Modern AI tools already run through WorkOS. At ERC, we unveiled six major launches expanding that foundation for the AI era: • AuthKit for ChatGPT Apps: secure OAuth + MCP so developers can connect real enterprise data to 700M+ weekly ChatGPT users. • AuthKit for Platforms: embed full enterprise identity into frameworks like Supabase and Convex for zero-friction onboarding. • Stripe Usage Sync: actual per-seat billing with no glue code. Data stays consistent and invoices are always correct. • WorkOS Pipes: the fastest and most secure way to ship integrations (Salesforce, Slack, Intercom and more). • Agent-Ready API Keys: scoped, revocable keys designed for both developers and autonomous agents. • WorkOS Studio: vibe coding for the enterprise. A collaborative AI app builder with SSO, SCIM, RBAC, audit logs, workflows and third-party connectors built-in. Internal software at the speed of a prompt. AI has already changed how software gets created. The next shift is changing what software becomes. We are still “filming the play” like early cinema: using new technology to recreate old patterns. The opportunity ahead is to invent entirely new applications that only AI-native development makes possible. WorkOS is building the enterprise infrastructure that lets teams design the next era of software itself. Enterprise-ready AI is where the real acceleration happens. Let’s build that future together.

Michael Grinich

37,894 次观看 • 9 个月前

Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:

Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:

Markandey Sharma

49,777 次观看 • 1 个月前

$Anthropic CEO Dario Amodei just revealed the hidden bottleneck that will kill most AI companies in the next 18 months (Save this). The insight comes from a principle in computer science called Amdahl's Law. Dario's argument is simple when something starts working really well inside an organization, you have to immediately ask what isn't working well around it. Amdahl's Law states that the maximum speedup of any system is capped by the fraction you haven't improved and that applies to companies just as brutally as it applies to processors. If you can suddenly write three or four times as many pull requests as before, you don't get three or four times the output but you rather get a pile of code no one can review, verify, or trust. The data makes this impossible to ignore. Teams with heavy AI coding adoption are merging 98% more pull requests but PR review time has ballooned 91%, deployment velocity is effectively flat and 96% of developers don't fully trust AI-generated code reaching production. AI generated code produces 1.7x more issues per pull request than human written code, 0.83 issues per PR versus 6.45. Veracode's 2026 State of Software Security report found that 82% of organizations now carry security debt, up 11% year over year, with critical security debt surging 36% in a single year driven directly by AI-generated code reaching production faster than security teams can handle. What Dario is describing is a systems problem, not a software problem and coding is roughly 20% of the software delivery cycle. Even at infinite coding speed, you're still bottlenecked by review, security, verification, testing, and deployment which make up the other 80%. The enterprises that win are the ones that identify which part of their system is the new constraint after AI accelerates the old one and fix that next. This is why Anthropic's Claude Code focuses on the full development loop, not just generation, and why the verification and security layer of the AI stack is where the next wave of enterprise value gets created. This is also why Anthropic as a company is positioned differently than most people realize. Anthropic's 2026 Agentic Coding Trends Report found that organizations using full-loop agentic coding workflows where AI handles not just generation but testing, review, and deployment validation reduced their software defect rates by 43% while increasing velocity by 2.8x. Claude Code now authors 4% of all GitHub commits and is on track to hit 20%+ by year-end, with the full-loop use case growing 3x faster than pure code generation. Dario has been building Anthropic around the exact insight he's describing publicly ,the constraint isn't writing code but rather everything that has to happen after.$

Anthropic CEO Dario Amodei just revealed the hidden bottleneck that will kill most AI companies in the next 18 months (Save this). The insight comes from a principle in computer science called Amdahl's Law. Dario's argument is simple when something starts working really well inside an organization, you have to immediately ask what isn't working well around it. Amdahl's Law states that the maximum speedup of any system is capped by the fraction you haven't improved and that applies to companies just as brutally as it applies to processors. If you can suddenly write three or four times as many pull requests as before, you don't get three or four times the output but you rather get a pile of code no one can review, verify, or trust. The data makes this impossible to ignore. Teams with heavy AI coding adoption are merging 98% more pull requests but PR review time has ballooned 91%, deployment velocity is effectively flat and 96% of developers don't fully trust AI-generated code reaching production. AI generated code produces 1.7x more issues per pull request than human written code, 0.83 issues per PR versus 6.45. Veracode's 2026 State of Software Security report found that 82% of organizations now carry security debt, up 11% year over year, with critical security debt surging 36% in a single year driven directly by AI-generated code reaching production faster than security teams can handle. What Dario is describing is a systems problem, not a software problem and coding is roughly 20% of the software delivery cycle. Even at infinite coding speed, you're still bottlenecked by review, security, verification, testing, and deployment which make up the other 80%. The enterprises that win are the ones that identify which part of their system is the new constraint after AI accelerates the old one and fix that next. This is why Anthropic's Claude Code focuses on the full development loop, not just generation, and why the verification and security layer of the AI stack is where the next wave of enterprise value gets created. This is also why Anthropic as a company is positioned differently than most people realize. Anthropic's 2026 Agentic Coding Trends Report found that organizations using full-loop agentic coding workflows where AI handles not just generation but testing, review, and deployment validation reduced their software defect rates by 43% while increasing velocity by 2.8x. Claude Code now authors 4% of all GitHub commits and is on track to hit 20%+ by year-end, with the full-loop use case growing 3x faster than pure code generation. Dario has been building Anthropic around the exact insight he's describing publicly ,the constraint isn't writing code but rather everything that has to happen after.

Milk Road AI

52,190 次观看 • 2 个月前