Best of MongoDB — October 2025

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   Article

   freeCodeCamp·34w

   Build a Full Stack Movie Streaming App with Go, React, MongoDB, OpenAI

   A comprehensive 15-hour course teaches building MagicStream, a production-ready movie streaming application with AI-powered recommendations. The stack includes Go with Gin-Gonic for the backend API, React for the frontend, MongoDB for data storage, and OpenAI integration via LangChainGo for intelligent movie suggestions. The course covers secure authentication with http-only cookies, token validation middleware, and deployment to Atlas, Render, and Vercel.

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2. 2
   Article

   MongoDB·33w

   The 10 Skills I Was Missing as a MongoDB User

   A developer shares lessons learned from transitioning from relational databases to MongoDB, covering common mistakes like improper data modeling (over-normalizing then over-embedding), ineffective indexing strategies, and reactive monitoring. The piece walks through how understanding document modeling patterns, query optimization with explain plans, aggregation pipelines, and proactive monitoring transformed their MongoDB experience from frustrating to efficient. MongoDB's new Skill Badges program is highlighted as a structured learning path that covers these fundamental skills.

   71

   3
3. 3
   Video

   JavaScript Mastery·30w

   Next.js 16 Full Course | Build and Deploy a Production-Ready Full Stack App

   Comprehensive tutorial covering Next.js 16 fundamentals and advanced features. Explores server and client components, file-based routing, data fetching strategies, API routes, caching mechanisms, and SEO optimization. Includes building a full-stack event booking application with MongoDB integration, image hosting via Cloudinary, analytics with PostHog, and deployment strategies. Demonstrates production-ready patterns including server actions, dynamic routing, error handling, and the new use cache directive.

   29

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   Video

   As a Programmer·29w

   MERN Stack Project: Video Calling Interview Platform with React & Node.js

   Build a complete interview platform featuring video calling, real-time chat, and a code editor supporting JavaScript, Python, and Java. The platform includes session management, screen sharing, message reactions, and code execution in isolated environments. Uses the MERN stack (MongoDB, Express, React, Node.js) with additional tools like Tailwind CSS, Clerk for authentication, Stream for video/chat, and deployment on Savala. Covers proper Git workflow with branches and pull requests, code reviews with Code Rabbit AI, and production deployment configuration including serving both API and React app from a single domain.

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