•AI
RAG Explained for Full-Stack Developers (2027)
What RAG is and how retrieval-augmented generation works, explained from scratch: chunking, embeddings, vector search, the prompt, hybrid search, reranking, and keeping the index in sync.
Latest Articles
•AI
20 Important Concepts of AI Engineering (2027)
The 20 AI engineering concepts to know in 2027, explained simply and in order: tokens, embeddings, attention, transformers, self-supervised learning, fine-tuning, few-shot prompting, RAG, vector databases, MCP, context engineering, agents, reasoning models, distillation and quantization.
•VPS
How to Deploy a Full Stack App on a VPS: Frontend, Backend, Nginx and SSL
Deploy a full stack app on a VPS step by step. Serve a React frontend with Nginx, run a Node.js backend under PM2, add free SSL, fix CORS and automate deploys.
•AI
Top 50 AI Interview Questions and Answers for Full Stack Developers (2026)
50 AI interview questions and answers for full stack developers: RAG, embeddings, vector search, tool calling, MCP, agents, evals, cost, latency, and security.
•React
50 Most Asked React JS Interview Questions and Answers (2026)
The 50 most asked React JS interview questions and answers for freshers and experienced developers, covering JSX, the virtual DOM, React hooks, re-renders, performance, Redux, React Router, reconciliation, and React 19 features like Server Components and Actions.