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A lightweight, interpreted, object-oriented language. JavaScript engines execute JavaScript code in client-side (in web browsers) or server-side(for example, the V8 engine is a core component of the Node.js and Deno runtimes).- Latest
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10X Your Development Speed: Prisma + MongoDB + Next.js Ultimate Stack
Sign-up for a free cluster → https://mdb.link/7t_cL2BQ5Ok-try" target="_blank" rel="noreferrer">https://mdb.link/7t_cL2BQ5Ok-try Subscribe to MongoDB YouTube→ https://mdb.link/subscribe 🚀 Prisma + MongoDB Full-Stack Tutorial with Next.js 15 ✅ Build Modern, Type-Safe Web Apps Faster In this in-depth tutorial, Jesse Hall (aka codeSTACKr) shows how to build a full-stack Next.js 15 app using Prisma ORM and MongoDB. Learn how to boost your development speed, enforce type safety, and scale easily with Prisma Accelerate for serverless environments. Whether you're a seasoned dev or exploring type-safe MongoDB for the first time, this video covers everything you need—from schema modeling to caching strategies. 🔧 What You’ll Learn: - Why choose Prisma - How to connect Prisma to MongoDB Atlas - Modeling MongoDB data with full type safety - Building server actions and server components in Next.js App Router - Using Tailwind CSS + shadcn/ui for modern UI - Improving performance with Prisma Accelerate: connection pooling, edge caching, with TTL and SWR - Deploy-ready example: users, posts, comments—all working together 🧠 Tech Stack: Next.js 15 (App Router) Prisma ORM + Prisma Accelerate MongoDB Atlas Tailwind CSS + shadcn/ui TypeScript 🛠 Prerequisites: Node.js 20+ MongoDB Atlas account Prisma Data Platform account 🔗 Resources & Repo: 👉 Full source code & bonus homework: https://github.com/codeSTACKr/prisma-mongodb-demo 👉 Prisma Docs: https://www.prisma.io/docs/orm/overview/databases/mongodb 👉 MongoDB Atlas: https://mdb.link/7t_cL2BQ5Ok-try" target="_blank" rel="noreferrer">https://mdb.link/7t_cL2BQ5Ok-try 👉 Prisma Accelerate: https://www.prisma.io/accelerate ⏱️ Timestamps ⏱️ 00:00 - Intro 00:44 - The tech stack 02:07 - Agenda & prerequisites 02:36 - Prisma ORM + MongoDB project setup 04:18 - Data modeling with Prisma ORM 06:56 - Setting up a singleton Prisma Client 07:33 - Building API routes with serer actions 10:04 - Building the user interface with server components 13:51 - Expanding app functionality with posts and comments 17:04 - Integrating Prisma Accelerate 20:57 - Accelerate caching strategies 24:48 - Bonus!! This video is not affiliated with, endorsed by, or sponsored by Prisma. The use of any trademark is solely for informational and identification purposes, so that we may provide clear and accurate descriptions. All opinions and critiques provided in this video are those of the creator and do not reflect the views of Prisma or its affiliates. Visit Mongodb.com → https://www.mongodb.com Read the MongoDB Blog → https://www.mongodb.com/blog Check out the MongoDB Developer Center → https://www.mongodb.com/developerMar 28, 2025
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Realtime Voice Agents with OpenAI and MongoDB
✅ Try MongoDB 8.0 → https://mdb.link/3mLqmlG9-hw ✅ Sign-up for a free cluster → https://mdb.link/3mLqmlG9-hw-try ✅ Gen AI Showcase (GitHub) → https://mdb.link/3mLqmlG9-hw-github - We will live code a realtime speaking agent which will interact with the database get information and store information to facilitate human like representative whithin an application.Feb 12, 2025
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Next Generation Commerce as Code: Storecraft
✅ Try MongoDB 8.0 → https://mdb.link/OO4arXfO75U-8.0 ✅ Sign-up for a free cluster → https://mdb.link/OO4arXfO75U-free ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - Let's explore the next generation of commerce as code. In this live stream we'll take a look at Storecraft and quickly deploy a backend for an e-commerce website. To get started just run npx storecraft create! Check it our here: https://storecraft.app/Jan 31, 2025
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From Freelancing to MongoDB Champion: Nenad's Journey in Software Development
✅ Try MongoDB 8.0 → https://mdb.link/oVBBMDnaLHw ✅ Sign-up for a free cluster → https://mdb.link/oVBBMDnaLHw-try - In this episode, we sit down with Nenad, a Senior Software Engineer and MongoDB Champion, who shares his inspiring journey from freelancing to becoming a key contributor in the MongoDB community. Nenad discusses his experiences with MongoDB, highlighting how its flexible schema and seamless integration with JavaScript have transformed his approach to software development.Nov 15, 2024
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WhoAmI? The latest JavaScript Runtime Update
Did you know all the updates with Deno 2.0? It really could be a Node.js killer now. Check out the full tutorial on our channel.Nov 13, 2024
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LangGraph.js & MongoDB
As a web developer, the idea of integrating AI into your applications might seem overwhelming. But don't worry—I've been there! In this tutorial, I'll walk you through building an AI agent using LangGraph.js and MongoDB, making it way simpler than it sounds.Sep 25, 2024
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JavaScript AI Agents
As a web developer, the idea of integrating AI into your applications might seem overwhelming. But don't worry—I've been there! In this tutorial, I'll walk you through building an AI agent using LangGraph.js and MongoDB, making it way simpler than it sounds.Sep 17, 2024
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Building AI Agents with JavaScript
✅ Written tutorial → https://mdb.link/5gXn3EXD01U-written ✅ Create your free Atlas cluster → https://mdb.link/5gXn3EXD01U-register ✅ Get help on our Community Forums → https://mdb.link/5gXn3EXD01U-forums - Let's build an AI Agent using LangGraph.js and MongoDB.Sep 13, 2024
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Build a JavaScript AI Agent With LangGraph.js and MongoDB
✅ Written tutorial → https://mdb.link/article-qXDrWKVSx1w ✅ Create your free Atlas cluster → https://mdb.link/free-qXDrWKVSx1w ✅ Get help on our Community Forums → https://mdb.link/forums-qXDrWKVSx1w As a web developer, the idea of integrating AI into your applications might seem overwhelming. But don't worry—I've been there! In this tutorial, I'll walk you through building an AI agent using LangGraph.js and MongoDB, making it way simpler than it sounds. We'll cover the following: ⭐ Understanding what AI agents are and how they work. ⭐ Using LangGraph.js to create agents that can remember past conversations and use "tools" to gather more information. ⭐ Integrating MongoDB for storing conversation history and data retrieval, specifically leveraging MongoDB Atlas Vector Search for context-aware responses. By the end of this video, you'll have built an AI agent capable of managing HR-related queries, looking up employee info from a database, and continuing conversations across multiple sessions. It's like creating your own J.A.R.V.I.S., but for practical, real-world applications! What You'll Learn: ⭐ How to set up LangGraph.js for AI workflows. ⭐ How to integrate MongoDB Atlas to store and retrieve data. ⭐ How to build an AI agent that can manage conversations, look up data, and persist state across sessions. Prerequisites: ✔︎ Node.js and npm ✔︎ Free MongoDB Atlas account ✔︎ OpenAI and Anthropic API keys Clone the project repo and follow along as we create this powerful AI tool. Let’s get started! 🔗 Project Repo: https://github.com/mongodb-developer/LangGraph.js-MongoDB-Example ⏱️ Timestamps ⏱️ 00:00 - Intro 02:50 - Setting up the project 04:29 - Configure MongoDB 05:36 - Seeding the database 12:45 - MongoDB Atlas Vector Search Index 13:50 - Building the AI agent with LangGraph.js 22:47 - Creating the Express.js server 25:44 - Testing the AI agent Subscribe to MongoDB YouTube→ https://mdb.link/subscribeSep 06, 2024
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AI Structured output and MongoDB Atlas services
✅ Sign-up for a free cluster → https://mdb.link/7sF3BRGKRUk-free ✅ Get help on our Community Forums → https://mdb.link/7sF3BRGKRUk-forums - In this live stream we will explore the new Structured Output features from OpenAI that allows a schema definition for AI responses. We will leverage Atlas triggers to use the structured output to automate various application tasks.Sep 05, 2024