Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

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...

18,280 Aufrufe • vor 1 Jahr •via X (Twitter)

12 Kommentare

Profilbild von Alex Stojcic
Alex Stojcicvor 1 Jahr

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.

Profilbild von Tembo - Multi-Workload Managed Postgres
Tembo - Multi-Workload Managed Postgresvor 2 Jahren

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.

Profilbild von Afiq
Afiqvor 1 Jahr

hey matt, can you do stripe subscription demo next?

Profilbild von Jakub Polec
Jakub Polecvor 1 Jahr

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

Profilbild von Jim, S𐤊i ₿um ⛷️
Jim, S𐤊i ₿um ⛷️vor 1 Jahr

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

Profilbild von Tom Osman 🐦‍⬛
Tom Osman 🐦‍⬛vor 1 Jahr

nice vid dude. love that format

Profilbild von Mohamud Salhan
Mohamud Salhanvor 1 Jahr

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

Profilbild von Michael Bruun-Larsen
Michael Bruun-Larsenvor 1 Jahr

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?

Profilbild von matt palmer
matt palmervor 1 Jahr

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

Profilbild von weisser
weisservor 1 Jahr

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

Profilbild von Fernando Gonzalez
Fernando Gonzalezvor 1 Jahr

I am your friend

Profilbild von matt palmer
matt palmervor 1 Jahr

🫶

Ähnliche Videos

Cursor Complete Guide for AI Coding... 1. The Basics, Composer, Cursor 2.0, Why use Cursor? 2. Multiple Agent Testing, Adding Database, Deploying to Vercel 3. Comparing the big 4: v0, Replit, Lovable, Cursor And more... with Senior Software Engineer Kehan Zhang TIME STAMPS --------------- 1. BASICS: 00:00 Introduction 01:01 Overview of Cursor and Its Features 01:47 Getting Started with Cursor 02:39 Understanding IDE and Vibe Coding 06:00 Cursor For Mobile Apps 10:26 Downloading and Installing Cursor 11:17 Creating and Managing Projects in Cursor 15:14 Building a Simple Game with Cursor 19:10 Advanced Features and Customization 40:28 Fixing Styling Rules 40:53 Redesigning the App 42:17 Exploring Cursor 2.0 Features 43:22 Setting Up the Project Structure 44:17 Adding and Testing Meme Templates 46:08 Debugging Text Issues 2. ADVANCED 49:46 Using Multiple Agents 01:10:40 Creating Custom Commands 01:14:15 Creating Commands in Settings Tab 01:15:11 Introduction to Instant DB 01:16:04 Setting Up Instant DB in Your Project 01:18:24 Building a Full Stack Application 01:19:04 Using the Agent to Plan and Build 01:26:06 Testing and Debugging the Application 01:53:02 Deploying the Application with Vercel 01:55:35 Setting Up the CLI 01:56:15 Understanding Command Line Interfaces (CLI) 01:57:32 Deploying Code to Vercel 01:58:07 Handling Environment Variables 01:58:44 Interacting with the Vercel Deployment 02:00:34 Exploring Cursor's Capabilities 3. COMPARING VIBE CODING TOOLS 02:09:48 Comparing Vibe Coding Tools 02:31:04 Final Thoughts and Recommendations

Riley Brown

65,392 Aufrufe • vor 9 Monaten

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 Aufrufe • vor 9 Monaten