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The hardest part of deploying apps is storing data. Every app created by Replit Agent can have a production-grade Postgres database. Most do by default! Watch along to learn about persistent storage with Agent, powered by the fine folks at Neon. 00:00—Introduction to Replit Agent & Database Configuration 00:46—How... show more

matt palmer

41,453 subscribers

18,280 次观看 • 1 年前 •via X (Twitter)

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12 条评论

Alex Stojcic 的头像

Alex Stojcic1 年前

You guys are building a great platform. With AI Agents. Problem 1. User authentication is still unsolved with Replit Agents. The only option is to pay a bounty to get it done. Problem 2. Port conflicts are so painful. It’s not resolved until late into development with ai agents and then when it’s time to deploy it’s totally incompatible. Problem 3. Payment is not solved. It still requires a bounty to get it done. I’ve given pause for a week because I keep running into the same problems thinking the deep learning will solve it. Other than that keep up the good work.

Tembo - Multi-Workload Managed Postgres 的头像

Tembo - Multi-Workload Managed Postgres2 年前

The "data platform" status quo is vendor sprawl and data islands. Tembo Cloud can help you tame the sprawl and centralize your data using the full power of Postgres.

Afiq 的头像

Afiq1 年前

hey matt, can you do stripe subscription demo next?

Jakub Polec 的头像

Jakub Polec1 年前

I made good progress with replit, but then AI completely mess all site, and can't do simple instructions. Then it recommend other tasks, not finishing previous. Asking super simple things and it is like in the loop, not doing anything. @replit @mattppal - check this, as this is annoying

Jim, S𐤊i ₿um ⛷️ 的头像

Jim, S𐤊i ₿um ⛷️1 年前

Hey Matt, sorry to bombard you with comments across your various socials, but please talk about user authentication and tying data to specific accounts. I’ve had no luck making it work with the in house replit user authentication (login/logout states not functioning). Seems it doesn’t work properly. Perhaps other options like firebase work but have yet to try. Would appreciate if you could shed some light on this, and am assuming the lack of response so far is because you guys don’t have a fix yet

Tom Osman 🐦‍⬛ 的头像

Tom Osman 🐦‍⬛1 年前

nice vid dude. love that format

Mohamud Salhan 的头像

Mohamud Salhan1 年前

This is great but we really need simplified user authentication In this example it would be, a user saving the game progress and logging back on at a future date to complete it Great that it’s easy to set up a Database but kinda of pointless if user authentication is such a pain and cumbersome

Michael Bruun-Larsen 的头像

Michael Bruun-Larsen1 年前

How about database backup? If we get our apps out in the hands of users, is there a way to handle database backup in Replit easily?

matt palmer 的头像

matt palmer1 年前

All databases are automatically backed up and can be restored to any time in the last 7 days :)

weisser 的头像

weisser1 年前

you also shipped a major upgrade with the automated 7-day postgres backups

Fernando Gonzalez 的头像

Fernando Gonzalez1 年前

I am your friend

matt palmer 的头像

matt palmer1 年前

🫶

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Replit agent is 🔥🔥🔥 Crazy. Built a digital store app with Stripe integration using Replit ⠕ agent in under an hour! 🤯 Used 5 prompts Here's what the replit agent did ✅ created the database and added the orders and products tables ✅ automatically added the products configuration in my Stripe dashboard (normally, you do this manually) ✅ after payment upon checkout, it saves an order to the orders table in the database ✅ handled the app deployment Wow, this is really a game-changer!

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Melvin Vivas

129,799 次观看 • 1 年前

Big moment for Postgres! AI agents broke the idea of what a database is supposed to do. Traditional databases were built for humans, and Agents broke that model. - They branch endlessly. - They run ten experiments at once. - They need isolation, context, memory, structured reasoning, and safe sandboxes. Letting agents touch production systems is terrifying because the old model of Postgres was never built for this kind of behavior. Agentic Postgres is an agent-ready version of Postgres by TimescaleDB (by Tiger Data) that solves this. I think it is one of the biggest upgrades to the Agent stack this year and Tiger Data is working with me on this post to share what they did. Some key features: > It instantly creates branches of an entire database, which is perfect for parallel agent evals, safe experiments, migrations, or isolated testing. Forks take seconds and cost almost nothing. > It comes with a built-in MCP server, which agents can use to get schema guidance, best practices, and safe, structured access to Postgres. This is also helpful to run migrations with a real understanding. > It comes with actual hybrid search (vector search and BM25), so Agents can retrieve data directly inside the database. > The database is Memory native. This gives a persistent context for Agents to evolve. This is one of the first times I have seen Postgres feel ready for the AI native era.

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208,106 次观看 • 1 年前

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20,802 次观看 • 4 个月前

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77,293 次观看 • 1 年前

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31,079 次观看 • 1 年前

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242,084 次观看 • 1 年前

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95,832 次观看 • 6 个月前

Vibe Coding with Codex - Complete Guide Build a Web App, Desktop App & iOS App with Codex + GPT‑5.5 (No Coding Needed, Beginner Friendly) In this video you will learn: > Vibe Coding Basics + Vocab > How to build a web app using Codex > Add db, auth + storage with Firebase > Github Basics > Add AI Features (API's) > Deploy to internet (Vercel) > Convert Web App into Desktop app & iOS App Chapters 00:00 Intro 01:12 Setting up Codex 01:57 The basics of Vibe Coding and Codex 02:20 Projects, Files, App 03:45 Example App - Microsoft Paint 04:25 Running app locally 06:39 Save My Code - Use Github 10:37 Quick Review before building app 12:24 Building a web app - The Prompt 15:32 Creating Web App Project 16:34 Explaining Firebase (Database, Storage, Auth) 18:42 Setting up Firebase Project 22:54 Prompting Codex to build our app 24:49 Inspect Element - Console 26:24 Verify Data being Stored in Database 27:51 Making Changes to App 31:29 Fixing Storage Permissions with Codex 32:20 GPT API - Adding AI to our app 36:20 Making more changes using screenshots 39:02 Queuing vs Steering 40:23 Deploying our app to Vercel (App on Internet) 43:09 Convert web app to desktop app and iOS app 47:15 Web App and Desktop App work Now 48:36 Now let's run the iOS app 50:27 All three apps work! 51:11 Making Changes to iOS app 52:51 Testing agent skill feature of our app 53:55 Summary of what we did

Vibe Coding with Codex - Complete Guide Build a Web App, Desktop App & iOS App with Codex + GPT‑5.5 (No Coding Needed, Beginner Friendly) In this video you will learn: > Vibe Coding Basics + Vocab > How to build a web app using Codex > Add db, auth + storage with Firebase > Github Basics > Add AI Features (API's) > Deploy to internet (Vercel) > Convert Web App into Desktop app & iOS App Chapters 00:00 Intro 01:12 Setting up Codex 01:57 The basics of Vibe Coding and Codex 02:20 Projects, Files, App 03:45 Example App - Microsoft Paint 04:25 Running app locally 06:39 Save My Code - Use Github 10:37 Quick Review before building app 12:24 Building a web app - The Prompt 15:32 Creating Web App Project 16:34 Explaining Firebase (Database, Storage, Auth) 18:42 Setting up Firebase Project 22:54 Prompting Codex to build our app 24:49 Inspect Element - Console 26:24 Verify Data being Stored in Database 27:51 Making Changes to App 31:29 Fixing Storage Permissions with Codex 32:20 GPT API - Adding AI to our app 36:20 Making more changes using screenshots 39:02 Queuing vs Steering 40:23 Deploying our app to Vercel (App on Internet) 43:09 Convert web app to desktop app and iOS app 47:15 Web App and Desktop App work Now 48:36 Now let's run the iOS app 50:27 All three apps work! 51:11 Making Changes to iOS app 52:51 Testing agent skill feature of our app 53:55 Summary of what we did

Riley Brown

147,144 次观看 • 3 个月前

Amjad Masad and Marc Andreessen on AI agents, AGI, Creativity, and Reasoning Agents are getting better, fast. Replit Agent v1 could do only 2 minutes of coherent work. v2 could do 20 minutes. Today’s v3? 200 minutes. As agents get more and more reliable, we can make huge progress in coding without ever achieving “true” AGI. In this episode, Marc Andreessen and Erik Torenberg sit down with Replit ⠕ co-founder and CEO Amjad Masad to discuss the upward trajectory of agents, how RL unlocked reasoning for modern models, why verification loops changed everything, and whether LLMs are hitting diminishing returns. 00:00 Intro 03:00 The vision behind Replit 07:00 Building apps with AI agents 09:30 When the agent becomes the programmer 13:45 Reinforcement learning and problem solving 17:30 The verification loop and multi-agent systems 26:00 Why coding is advancing faster than other Fields 33:45 AGI debate 41:15 Functional AGI and automating labor 53:10 Creativity, reasoning, and finding truth in AI 57:30 The origins of Replit 01:03:00 Hacking his university and getting caught Amjad Masad Marc Andreessen 🇺🇸 Erik Torenberg

Amjad Masad and Marc Andreessen on AI agents, AGI, Creativity, and Reasoning Agents are getting better, fast. Replit Agent v1 could do only 2 minutes of coherent work. v2 could do 20 minutes. Today’s v3? 200 minutes. As agents get more and more reliable, we can make huge progress in coding without ever achieving “true” AGI. In this episode, Marc Andreessen and Erik Torenberg sit down with Replit ⠕ co-founder and CEO Amjad Masad to discuss the upward trajectory of agents, how RL unlocked reasoning for modern models, why verification loops changed everything, and whether LLMs are hitting diminishing returns. 00:00 Intro 03:00 The vision behind Replit 07:00 Building apps with AI agents 09:30 When the agent becomes the programmer 13:45 Reinforcement learning and problem solving 17:30 The verification loop and multi-agent systems 26:00 Why coding is advancing faster than other Fields 33:45 AGI debate 41:15 Functional AGI and automating labor 53:10 Creativity, reasoning, and finding truth in AI 57:30 The origins of Replit 01:03:00 Hacking his university and getting caught Amjad Masad Marc Andreessen 🇺🇸 Erik Torenberg

a16z

741,248 次观看 • 10 个月前

Wow... Claude Code might kill the entire Saas market He built his own PersonalOS with 5 functional apps in 19 minutes. The Apps: > LinkTree > X Video Downloader > Tally > Bear Note > AI Content Writer All Built using Claude Code w Opus 4.5 inside the vibecode.dev new web app builder, then he deployed it with password protection in one click. TIMESTAMPS: 00:00 Intro 00:54 Starting prompt on vibecode.dev 02:29 Claude Code is Working 02:48 A look at the Database 04:09 Testing Linktree 05:34 Testing Notes App 06:53 Testing Tally 08:19 Testing Video Downloader (Now it works) 09:20 Making the Personal OS look better 10:10 Generating App Icons 13:27 Adding Content Writer Mini App 15:16 Testing Video App 17:32 Deploying to the Internet

Wow... Claude Code might kill the entire Saas market He built his own PersonalOS with 5 functional apps in 19 minutes. The Apps: > LinkTree > X Video Downloader > Tally > Bear Note > AI Content Writer All Built using Claude Code w Opus 4.5 inside the vibecode.dev new web app builder, then he deployed it with password protection in one click. TIMESTAMPS: 00:00 Intro 00:54 Starting prompt on vibecode.dev 02:29 Claude Code is Working 02:48 A look at the Database 04:09 Testing Linktree 05:34 Testing Notes App 06:53 Testing Tally 08:19 Testing Video Downloader (Now it works) 09:20 Making the Personal OS look better 10:10 Generating App Icons 13:27 Adding Content Writer Mini App 15:16 Testing Video App 17:32 Deploying to the Internet

Vibecoding Explained

52,722 次观看 • 7 个月前

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 次观看 • 9 个月前

Someone just open-sourced the world's largest integration database for AI agents. - 47,000 agentic actions across 250+ apps - Connect to Slack, GitHub, Gmail, Stripe, Discord, Google Sheets and more - Every action is verified your agent never hallucinates API knowledge again - Deploy with a single CLI, connect once, use everywhere This is the integration layer agents have been missing. Built by Moe

Someone just open-sourced the world's largest integration database for AI agents. - 47,000 agentic actions across 250+ apps - Connect to Slack, GitHub, Gmail, Stripe, Discord, Google Sheets and more - Every action is verified your agent never hallucinates API knowledge again - Deploy with a single CLI, connect once, use everywhere This is the integration layer agents have been missing. Built by Moe

0xMarioNawfal

122,279 次观看 • 4 个月前