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Announcing Superblocks on Snowflake: Secure Enterprise Vibe Coding on the AI Data Cloud This couldn't be more timely. Vibe coding is exploding inside the enterprise. It’s also becoming the fastest path to a data breach. Every CEO is trying to accelerate adoption of vibe coding for business users automate,...

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Brad Menezes

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13,098 просмотров • 3 месяцев назад •via X (Twitter)

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We’re expanding our strategic partnership with Microsoft to: ⚡ Deliver OpenAI’s state-of-the-art models in Snowflake Cortex AI on Microsoft Microsoft Azure. Customers will soon be able to build AI-powered data agents to run analytical workflows on structured and unstructured data using OpenAI’s models. ⚡ Make Snowflake Cortex Agents available in Microsoft 365 Copilot and Microsoft 365 apps, ensuring AI insights become more accessible for users and enabling better decision-making across the enterprise. Learn more about how we’re bringing easy, efficient, and trusted AI to enterprises around the world:
0:41

We’re expanding our strategic partnership with Microsoft to: ⚡ Deliver OpenAI’s state-of-the-art models in Snowflake Cortex AI on Microsoft Microsoft Azure. Customers will soon be able to build AI-powered data agents to run analytical workflows on structured and unstructured data using OpenAI’s models. ⚡ Make Snowflake Cortex Agents available in Microsoft 365 Copilot and Microsoft 365 apps, ensuring AI insights become more accessible for users and enabling better decision-making across the enterprise. Learn more about how we’re bringing easy, efficient, and trusted AI to enterprises around the world:

Snowflake

11,011 просмотров • 1 год назад

Introducing Superblocks 2.0: AI-generated enterprise apps – finally under IT control. Vibe-coded apps just became the #1 attack vector in the enterprise. Business teams are building on production data, while IT has zero visibility. No reviews. No audits. No permissions. No control. AI hackers are about to get 100x better. Anthropic proved it with Mythos. Superblocks 2.0 is the only platform to take back control: > Business teams build AI-powered apps with permissions baked in. > IT and Security can audit everything and lock down anything, instantly. > Engineering sets the standards. Every app follows them. Instacart, SoFi, and LinkedIn run Superblocks in production today. And larger organizations we can't yet name are too: A Fortune 500 just shut down 2,500 Replit users to standardize on Superblocks, running the platform air-gapped in their AWS environment. A 150,000-employee global services firm replaced Lovable with Superblocks to unlock AI-built apps on restricted internal systems. Every IT leader we’ve demoed to using Replit, Lovable or v0 asked for early access. Today we open access to the world. The genie is out of the bottle on employee vibe coding. Let it run wild, or take back control –
2:13

Introducing Superblocks 2.0: AI-generated enterprise apps – finally under IT control. Vibe-coded apps just became the #1 attack vector in the enterprise. Business teams are building on production data, while IT has zero visibility. No reviews. No audits. No permissions. No control. AI hackers are about to get 100x better. Anthropic proved it with Mythos. Superblocks 2.0 is the only platform to take back control: > Business teams build AI-powered apps with permissions baked in. > IT and Security can audit everything and lock down anything, instantly. > Engineering sets the standards. Every app follows them. Instacart, SoFi, and LinkedIn run Superblocks in production today. And larger organizations we can't yet name are too: A Fortune 500 just shut down 2,500 Replit users to standardize on Superblocks, running the platform air-gapped in their AWS environment. A 150,000-employee global services firm replaced Lovable with Superblocks to unlock AI-built apps on restricted internal systems. Every IT leader we’ve demoed to using Replit, Lovable or v0 asked for early access. Today we open access to the world. The genie is out of the bottle on employee vibe coding. Let it run wild, or take back control –

Brad Menezes

4,640,112 просмотров • 3 месяцев назад

Big news: SnowflakeDB is bringing OpenAI’s latest models to Cortex AI on Microsoft Azure.⚡️ And we’re making Cortex Agents available within Microsoft 365 Copilot and Microsoft365 apps to empower you to talk to your data in conversational language, right where you work. Reliable, powerful AI—seamlessly integrated with your enterprise data in Snowflake, all at your fingertips. The potential for what you can build next is massive. Excited to see what you create!
1:26

Big news: SnowflakeDB is bringing OpenAI’s latest models to Cortex AI on Microsoft Azure.⚡️ And we’re making Cortex Agents available within Microsoft 365 Copilot and Microsoft365 apps to empower you to talk to your data in conversational language, right where you work. Reliable, powerful AI—seamlessly integrated with your enterprise data in Snowflake, all at your fingertips. The potential for what you can build next is massive. Excited to see what you create!

sridhar

15,985 просмотров • 1 год назад

What an incredible week at #SnowflakeSummit in San Francisco. Tens of thousands of customers, partners, and developers came together for hundreds of sessions, hackathons, and hands-on labs. The energy was unmatched. I’m leaving this week more inspired than ever about what we’ll build together next. A few reflections: ❄️ Snowflake is the place where data does more. That was clear in the stories from NYSE 🏛, AstraZeneca, Canva, Fiserv, Marriott Hotels, PayPal and so many others. They’re accelerating productivity, driving efficiency, and delivering new outcomes with data + AI for the customers, patients, and communities they serve. ❄️ The pace of innovation is relentless. It was amazing to showcase Openflow, Snowflake Intelligence, Cortex AISQL, and Adaptive Compute and even better to see customers immediately brainstorming what’s next with these capabilities. ❄️ In the age of AI, simplicity wins. We design for it so our customers can innovate faster. All week, I heard stories of AI-driven solutions being built on Snowflake in record time. The best is yet to come. Huge thanks to the entire Snowflake team, our customers, and partners for an amazing week! 🚀 If you missed it—catch all the keynotes on demand:
1:31

What an incredible week at #SnowflakeSummit in San Francisco. Tens of thousands of customers, partners, and developers came together for hundreds of sessions, hackathons, and hands-on labs. The energy was unmatched. I’m leaving this week more inspired than ever about what we’ll build together next. A few reflections: ❄️ Snowflake is the place where data does more. That was clear in the stories from NYSE 🏛, AstraZeneca, Canva, Fiserv, Marriott Hotels, PayPal and so many others. They’re accelerating productivity, driving efficiency, and delivering new outcomes with data + AI for the customers, patients, and communities they serve. ❄️ The pace of innovation is relentless. It was amazing to showcase Openflow, Snowflake Intelligence, Cortex AISQL, and Adaptive Compute and even better to see customers immediately brainstorming what’s next with these capabilities. ❄️ In the age of AI, simplicity wins. We design for it so our customers can innovate faster. All week, I heard stories of AI-driven solutions being built on Snowflake in record time. The best is yet to come. Huge thanks to the entire Snowflake team, our customers, and partners for an amazing week! 🚀 If you missed it—catch all the keynotes on demand:

sridhar

27,784 просмотров • 1 год назад

🚨 New course alert! Fast Prototyping of GenAI Apps with Streamlit, built in partnership with Snowflake, is live. Traditional, months-long planning cycles don’t fit the software development landscape of today. New capabilities surface every week, and ideas lose momentum unless you ship a demo quickly. This course, led by Chanin Nantasenamat (Chanin Nantasenamat), gives you a repeatable workflow to go from concept to share-ready demo in days, not months. What you’ll do: - Build an interactive Streamlit app on a dataset inside your own Snowflake account (120-day trial available) - Improve response quality with prompt engineering and RAG, grounded in your data - Run your prototype in Snowflake or publish to Streamlit Community Cloud to collect feedback and iterate with an MVP workflow Get all the details and enroll now:
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🚨 New course alert! Fast Prototyping of GenAI Apps with Streamlit, built in partnership with Snowflake, is live. Traditional, months-long planning cycles don’t fit the software development landscape of today. New capabilities surface every week, and ideas lose momentum unless you ship a demo quickly. This course, led by Chanin Nantasenamat (Chanin Nantasenamat), gives you a repeatable workflow to go from concept to share-ready demo in days, not months. What you’ll do: - Build an interactive Streamlit app on a dataset inside your own Snowflake account (120-day trial available) - Improve response quality with prompt engineering and RAG, grounded in your data - Run your prototype in Snowflake or publish to Streamlit Community Cloud to collect feedback and iterate with an MVP workflow Get all the details and enroll now:

DeepLearning.AI

45,584 просмотров • 11 месяцев назад

Incredible to see how Box is leveraging Salesforce to grow faster, stay closer to customers, and unlock the power of data. Excited for what’s next: Agentforce + Tableau Next = AI + CRM + real-time insights at scale. Aaron Levie is building the future of enterprise software. Welcome Tableau Next — the world’s first agentic analytics platform! You, your agent, and your app—united with Agentforce across all your data: Salesforce, Snowflake, Databricks, Amazon, Google & more. Built on an open, composable architecture powered by Data Cloud. Agents + humans, driving real insight + action. The future of the #DataFam is here. Watch the #TC25 keynote:
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Incredible to see how Box is leveraging Salesforce to grow faster, stay closer to customers, and unlock the power of data. Excited for what’s next: Agentforce + Tableau Next = AI + CRM + real-time insights at scale. Aaron Levie is building the future of enterprise software. Welcome Tableau Next — the world’s first agentic analytics platform! You, your agent, and your app—united with Agentforce across all your data: Salesforce, Snowflake, Databricks, Amazon, Google & more. Built on an open, composable architecture powered by Data Cloud. Agents + humans, driving real insight + action. The future of the #DataFam is here. Watch the #TC25 keynote:

Marc Benioff

69,976 просмотров • 1 год назад

Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic
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Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic

Strategy

55,020 просмотров • 15 дней назад

Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! --- Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough. Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more! Both built on top of Snorkel AI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value. If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! Finally, see thread for details on 🧵👇 - 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task - 📅 An upcoming event on Enterprise Agentic AI with innovators from Accenture @BNY Comcast Stanford University QBE & others - 📊 An upcoming series of benchmark datasets and model artifact releases 👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!
5:42

Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! --- Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough. Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more! Both built on top of Snorkel AI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value. If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! Finally, see thread for details on 🧵👇 - 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task - 📅 An upcoming event on Enterprise Agentic AI with innovators from Accenture @BNY Comcast Stanford University QBE & others - 📊 An upcoming series of benchmark datasets and model artifact releases 👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!

Alex Ratner

49,964 просмотров • 1 год назад

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.
1:21

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 просмотров • 10 месяцев назад

VIBE CODING TUTORIAL: Creating a Viral Meme Mobile App Without Any Coding in 20 minutes! You can now build multi-step AI workflows on a drag and drop platform, and then connect that workflow to your vibe coded mobile app, in a single cursor prompt. This only scratches the surface on the different workflows you can create like this. IN THIS VIDEO 00:00 Intro 00:36 Overview: MultiStep AI Backend on GLIF 01:33 Using Glif as an API 03:49 The backend for our app 04:36 Structured Outputs (Important for Vibe Coding, skip if you know what these are) 06:40 Image Workflow for the meme 08:34 Let's Protototype on 11:09 Setting this up with Cursor 18:40 Testing with
19:37

VIBE CODING TUTORIAL: Creating a Viral Meme Mobile App Without Any Coding in 20 minutes! You can now build multi-step AI workflows on a drag and drop platform, and then connect that workflow to your vibe coded mobile app, in a single cursor prompt. This only scratches the surface on the different workflows you can create like this. IN THIS VIDEO 00:00 Intro 00:36 Overview: MultiStep AI Backend on GLIF 01:33 Using Glif as an API 03:49 The backend for our app 04:36 Structured Outputs (Important for Vibe Coding, skip if you know what these are) 06:40 Image Workflow for the meme 08:34 Let's Protototype on 11:09 Setting this up with Cursor 18:40 Testing with

Riley Brown

58,068 просмотров • 1 год назад

🎉 Introducing Teable 3.0 — The AI Spreadsheet for Business. Teams can build 100% business-fit AI workflows and custom apps, while connecting and migrating any data into one place. ✨Whether you’re a small business or an enterprise, Teable helps your team become truly AI-native. 🙌 Teable is live on Product Hunt! If you like what we’re building, your support would mean a lot to us:
3:17

🎉 Introducing Teable 3.0 — The AI Spreadsheet for Business. Teams can build 100% business-fit AI workflows and custom apps, while connecting and migrating any data into one place. ✨Whether you’re a small business or an enterprise, Teable helps your team become truly AI-native. 🙌 Teable is live on Product Hunt! If you like what we’re building, your support would mean a lot to us:

Teable

2,192,420 просмотров • 4 дней назад

"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:
0:46

"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

39,600 просмотров • 6 месяцев назад

HIS VIBE CODING APP WAS HACKED and he almost lost $10,000 because of it After analyzing why this happened, we managed to find 3 most common mistakes that appear in the majority of vibe coding projects: • Misconfigured RLS • No backend rate limits • AI calls made from the frontend And vibe coding is actually not dangerous, you just need to pay more attention to these points when creating a project: • Protecting access to data • Limiting resource usage • Hiding all secrets on the backend • Controlling costs • Regularly doing security reviews It’s also important from the very beginning to give AI tools for improving code security And I talked about them in the article below👇
16:14

HIS VIBE CODING APP WAS HACKED and he almost lost $10,000 because of it After analyzing why this happened, we managed to find 3 most common mistakes that appear in the majority of vibe coding projects: • Misconfigured RLS • No backend rate limits • AI calls made from the frontend And vibe coding is actually not dangerous, you just need to pay more attention to these points when creating a project: • Protecting access to data • Limiting resource usage • Hiding all secrets on the backend • Controlling costs • Regularly doing security reviews It’s also important from the very beginning to give AI tools for improving code security And I talked about them in the article below👇

TolyaDV

45,570 просмотров • 1 месяц назад

Your AI is only as smart as the context it runs on. Have you built your shared enterprise brain yet? At Databricks Data+AI Summit, I spoke with Prukalpa ✨, co-founder and co-CEO of Atlan, to go deeper on the AI Context Layer in practice. The concept of a shared enterprise brain resonated with me. It is a foundation that every AI agent draws from, learns from, and contributes back to. "The future of organizations are going to be the fastest learning organizations." - Prukalpa ✨ Sankar, co-founder and co-CEO of Atlan Watch the full interview on YouTube: Check out the live demo by Atlan on Building Context for Your AI Agents - #EnterpriseAI #ContextLayer #Data #AI #AtlanPartner Matthias Heidrich
2:03

Your AI is only as smart as the context it runs on. Have you built your shared enterprise brain yet? At Databricks Data+AI Summit, I spoke with Prukalpa ✨, co-founder and co-CEO of Atlan, to go deeper on the AI Context Layer in practice. The concept of a shared enterprise brain resonated with me. It is a foundation that every AI agent draws from, learns from, and contributes back to. "The future of organizations are going to be the fastest learning organizations." - Prukalpa ✨ Sankar, co-founder and co-CEO of Atlan Watch the full interview on YouTube: Check out the live demo by Atlan on Building Context for Your AI Agents - #EnterpriseAI #ContextLayer #Data #AI #AtlanPartner Matthias Heidrich

Helen Yu

10,953 просмотров • 28 дней назад

Introducing CEO Mode: Be the CEO of Your Army of Agents Lot of talk here about commanding agent armies. With Rox, it’s real and already working at scale for the Global 2000. Powered by Rox Governance - the first agentic governance system for revenue. CEO Mode gives you secure, unified and real-time view across every part of your book of business. With CEO Mode, you can: - Protect sensitive data as confidential data is only accessible to the right people. - Empower every team member and leader to self-serve actions without bottlenecks. - Build custom apps and workflows with governed, secure access. Simply ask your agent a question, and CEO Mode orchestrates the work across your entire system in seconds. You can stay focused on what matters most: growing your business.
1:24

Introducing CEO Mode: Be the CEO of Your Army of Agents Lot of talk here about commanding agent armies. With Rox, it’s real and already working at scale for the Global 2000. Powered by Rox Governance - the first agentic governance system for revenue. CEO Mode gives you secure, unified and real-time view across every part of your book of business. With CEO Mode, you can: - Protect sensitive data as confidential data is only accessible to the right people. - Empower every team member and leader to self-serve actions without bottlenecks. - Build custom apps and workflows with governed, secure access. Simply ask your agent a question, and CEO Mode orchestrates the work across your entire system in seconds. You can stay focused on what matters most: growing your business.

Rox

323,878 просмотров • 1 месяц назад

We’re launching a brand new, full-stack vibe coding experience in Google AI Studio, made possible by integrations with the Google Antigravity coding agent and Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with Google Maps 🕹️
0:33

We’re launching a brand new, full-stack vibe coding experience in Google AI Studio, made possible by integrations with the Google Antigravity coding agent and Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with Google Maps 🕹️

Google AI

4,745,234 просмотров • 4 месяцев назад

The end of coding? *Epic* conversation with Guillermo Rauch of Vercel on vibe coding, MCP, agents and building products in the AI era. (00:00) - Intro: Guillermo's Story (02:08) - What is v0 and Why Did It Take Off So Fast? (04:10) - Building a hit product with < people (07:51) - Cursor, Replit, etc: v0 vs Other AI Coding Tools (10:35) - Everyone can cook - What is Vibe Coding? (17:05) - Is v0 Just Frontend? Moving Toward Full Stack 19:40 - How to Become a Great Vibe Coder (23:35) - A GUI for AI: The Future of Interfaces (29:46) - Developer Love vs Agent Love (33:41) - The Importance of Taste in the AI Era (39:10) - MCP: The Protocol for AI-to-AI Communication (43:11) - Security and the Risks of Agentic Web (45:25) - Are Enterprises Ready for the Agentic Future? (49:42) - Building a Data Flywheel (56:06) - The Vercel AI Cloud: From Pixels to Tokens (1:10:14) - Adapting to a Non-Developer Persona (1:13:47) - Retention, Margins, and the Business of AI (1:16:51) - The Secret Behind Vercel Last Year Growth (1:24:15) - The importance of Online Presence (1:30:49) - Everything, Everywhere, All at Once: Keeping your Sanity as a CEO (1:34:59) - Guillermo's Advice to Younger Self
1:45:40

The end of coding? *Epic* conversation with Guillermo Rauch of Vercel on vibe coding, MCP, agents and building products in the AI era. (00:00) - Intro: Guillermo's Story (02:08) - What is v0 and Why Did It Take Off So Fast? (04:10) - Building a hit product with < people (07:51) - Cursor, Replit, etc: v0 vs Other AI Coding Tools (10:35) - Everyone can cook - What is Vibe Coding? (17:05) - Is v0 Just Frontend? Moving Toward Full Stack 19:40 - How to Become a Great Vibe Coder (23:35) - A GUI for AI: The Future of Interfaces (29:46) - Developer Love vs Agent Love (33:41) - The Importance of Taste in the AI Era (39:10) - MCP: The Protocol for AI-to-AI Communication (43:11) - Security and the Risks of Agentic Web (45:25) - Are Enterprises Ready for the Agentic Future? (49:42) - Building a Data Flywheel (56:06) - The Vercel AI Cloud: From Pixels to Tokens (1:10:14) - Adapting to a Non-Developer Persona (1:13:47) - Retention, Margins, and the Business of AI (1:16:51) - The Secret Behind Vercel Last Year Growth (1:24:15) - The importance of Online Presence (1:30:49) - Everything, Everywhere, All at Once: Keeping your Sanity as a CEO (1:34:59) - Guillermo's Advice to Younger Self

Matt Turck

86,153 просмотров • 1 год назад

While your team is just getting started vibe coding prototypes, the team at Stripe is vibe coding a full vibe coding platform. Owen Williams ⚡ is a design manager at Stripe who built Protodash - an internal AI prototyping tool that lets designers and PMs spin up real, clickable prototypes in minutes. In this ep he walks through: - why generic AI tools produce "blurple slop" that doesn't match your design system - how he built a full prototyping studio on top of dev boxes with cursor + cc - why more PMs than designers now use Protodash - the design review mode that lets teams ship feedback direct in the app Plus, we talk about getting to the ultimate dream: demos, not memos. ty to our sponsors! 🧠 CESAR - Intelligent automation built for AI 💻 Cursor - The best way to code with AI Full episode on yt:
0:41

While your team is just getting started vibe coding prototypes, the team at Stripe is vibe coding a full vibe coding platform. Owen Williams ⚡ is a design manager at Stripe who built Protodash - an internal AI prototyping tool that lets designers and PMs spin up real, clickable prototypes in minutes. In this ep he walks through: - why generic AI tools produce "blurple slop" that doesn't match your design system - how he built a full prototyping studio on top of dev boxes with cursor + cc - why more PMs than designers now use Protodash - the design review mode that lets teams ship feedback direct in the app Plus, we talk about getting to the ultimate dream: demos, not memos. ty to our sponsors! 🧠 CESAR - Intelligent automation built for AI 💻 Cursor - The best way to code with AI Full episode on yt:

claire vo 🖤

92,186 просмотров • 2 месяцев назад