Mongodb
MongoDB Security: Best Practices and Anti-Patterns
Mongodb

MongoDB is a leading NoSQL database and Mongoose is the de facto ODM (Object Document Mapper) for Node.js applications. However, security is often an afterthought in many development cycles. This guide delivers an authoritative, technical deep-dive into MongoDB and Mongoose security, equipping you with actionable best practices and highlighting critical anti-patterns to avoid. All code examples are real-world and production-relevant.

Reactjs
React Hooks Anti-Patterns: A Comprehensive Guide to Avoiding Common Pitfalls
Reactjs

React Hooks fundamentally transformed how we write functional components, introducing a more intuitive and powerful way to manage state and side effects. However, this power comes with significant responsibility. After extensive experience with hooks in production environments, I’ve identified critical anti-patterns that consistently lead to bugs, performance degradation, and maintenance nightmares.

Mongodb
Avoiding Common Mongoose Schema Design Anti-Patterns
Mongodb

MongoDB schema less flexibility combined with Mongoose’s rich feature set makes it a powerful combination for Nodejs applications. However, this flexibility can lead developers down problematic paths that hurt application performance, maintainability and scalability. This comprehensive guide examines the most common Mongoose anti-patterns and provides actionable solutions to help you build better MongoDB applications.

Mongodb
Mastering Mongoose Transactions: A Comprehensive Guide
Mongodb

Mongoose serves as a powerful abstraction layer between Nodejs applications and MongoDB, providing schema validation, middleware hooks and elegant query building. Instead of working with raw database commands directly, you get tidy schemas, handy hooks that run before or after data changes, and queries that almost read like plain English.

Javascript
Deep Dive into Object Memory Management in JavaScript
Javascript

In the world of JavaScript development, understanding how objects behave in memory can be the difference between a lightning fast application and one that crawls to a halt. Every time you create an object, array, or function in JavaScript, you’re working with a JS Object; the fundamental building block that powers the entire language. But have you ever wondered what happens behind the scenes when your code creates { name: 'John', age: 30 } or allocates a massive array?