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React, Next.js, JavaScript architecture and modern development — explained properly.

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SkillDham

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Engineering tutorials, architecture breakdowns, and practical development insights — short and to the point.

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I Knew the Answer - Still Failed My Interview
13:33

I Knew the Answer - Still Failed My Interview

5 views·May 2, 2026

8+ years of experience. Production React apps. Real user bugs solved. Still failed my MNC interview. The interviewer asked one question - "Can you explain Closures?" I knew it. I had used it. I had explained it before. But in that moment - I went blank. That failure taught me something important: Knowing something and explaining it clearly under pressure are two completely different skills. This video is the real lessons I learned after failing my frontend interview. No fake motivation. No generic advice. Only real engineering experience. In this video: ✅ JavaScript Closures ✅ Async JavaScript (Event Loop, Promise vs setTimeout) ✅ React Hooks Interview Questions ✅ useEffect Cleanup Logic ✅ useCallback Senior-Level Explanation ✅ Communication Mistakes in Interviews ✅ Why Product Companies Ask “Why Not X?” ✅ Real Frontend Interview Preparation Strategy If you are preparing for: - Frontend Developer Interviews - React Developer Interviews - Senior Software Engineer Interviews - Product Company Interviews - MNC Interview Preparation …this video is for you. Comment below — What is your biggest struggle in frontend interviews? I read every comment 👇 🌐 SkillDham: https://skilldham.com 📱 Munshi App: https://play.google.com/store/apps/details?id=com.skilldham.munshi 🌐 Blog Link : https://skilldham.com/blog/frontend-interview-tips-for-developers #FrontendInterview #ReactInterview #JavaScriptInterview #MNCInterview #SkillDham #SoftwareEngineer #ReactDeveloper #SeniorDeveloper #CodingInterview #TechInterview

I Connected Claude to My Real App Using JavaScript
23:26

I Connected Claude to My Real App Using JavaScript

34 views·Apr 22, 2026

In this video I built an MCP server from scratch in JavaScript and connected it to Claude Desktop. Claude read my actual Munshi app database and answered questions about my real expenses. No prompt engineering. No hardcoded data. Just plain English - Claude did the rest. What I built: ⚡ MCP Server in Node.js 🗄 Connected to real NeonDB database 🔧 2 tools - monthly summary + top expenses 🔒 Environment variables for security Stack used: - @modelcontextprotocol/sdk - Prisma + NeonDB - Zod for validation - Node.js v20 📺 Part 1 - I Built My Own Expense Tracker: https://youtu.be/ccjjCqo4rX8 📺 Part 2 - AI Feature Under ₹500: https://youtu.be/BM_XIuWJ-hE 📺 Part 3 - Full RAG Code Walkthrough: https://youtu.be/PeuIVhzepsQ 📱 Munshi App - Download: https://play.google.com/store/apps/details?id=com.skilldham.munshi 🌐 SkillDham: https://skilldham.com 🌐 Blog Link: https://skilldham.com/blog/mcp-server-nodejs-claude-desktop 📧 Contact: skilldham24@gmail.com #MCP #ModelContextProtocol #Claude #AI #JavaScript #NodeJS #IndianDeveloper #SkillDham #BuildInPublic #AITools

I Built My Own ChatGPT with JavaScript (Full RAG Code)
14:35

I Built My Own ChatGPT with JavaScript (Full RAG Code)

4 views·Apr 19, 2026

Part 1 mein Munshi App banaya. Part 2 mein AI add kiya ₹500 mein. Ab Part 3 mein - poora code. File by file. 4 files mein complete RAG system: 📁 embeddings.js - expense ko vector mein convert karo 📁 search-expenses.js - classify + vector search + RAG logic 📁 route.js — security + rate limiting + AI generation 📁 AiChatSheet.jsx - React Native UI component Jo cover kiya: ⚡ Groq - LLM inference, query classification 🔢 OpenAI Embeddings - meaning based search 🗄 pgvector - cosine similarity search 🔒 Prompt injection protection 📊 Rate limiting - user + request level 📺 Part 1 - Munshi App Story: https://youtu.be/ccjjCqo4rX8 📺 Part 2 - AI Add Kiya ₹500 Mein: https://youtu.be/BM_XIuWJ-hE 📱 Munshi App Download Karo: https://play.google.com/store/apps/details?id=com.skilldham.munshi 🌐 SkillDham: https://skilldham.com 📖 Blog: https://skilldham.com/blog/react-native-expense-tracker-app-munshi https://skilldham.com/blog/how-to-add-ai-chat-to-react-native-app #MunshiApp #RAG #AI #ReactNative #IndianDeveloper #Groq #pgvector #CodeWalkthrough #SkillDham

I Built AI Inside My App for Just ₹500/Month (Production Ready)
11:56

I Built AI Inside My App for Just ₹500/Month (Production Ready)

118 views·Apr 12, 2026

Part 1 mein Munshi App banaya - aaj us app mein AI add kiya. Sirf ₹500/month mein. Production mein. Real data pe. Hindi, English, Hinglish - sab support. Stack jo use kiya: Groq — Free tier, Llama 3, 500 tokens/sec OpenAI Embeddings - ₹100/month pgvector on NeonDB - Free Yeh hai RAG architecture - Retrieval Augmented Generation. Bada naam, simple concept. Part 1 dekho: https://youtu.be/ccjjCqo4rX8 Blog Post: https://skilldham.com/blog/build-rag-system-react-native SkillDham: https://skilldham.com Munshi Beta Access: skilldham24@gmail.com #MunshiApp #RAG #AI #ReactNative #IndianDeveloper #Groq #pgvector #BuildInPublic #SkillDham

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