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Explore comprehensive notes and tutorials covering programming, web development, and more. Each note includes code examples, detailed explanations, and learning resources.
Showing 1-6 of 15 notes
My Ultimate Tech Stack for 2026
A step-by-step breakdown of the best modern web development stack for creating any kind of application, with real-world tools for 2026.
AI-based Tool Scaling and Rate Limiting in 2026
When traffic grows for an AI-powered app, 429 errors and high costs appear. This guide explains rate limiting, proxy and application-level controls, caching, queuing, autoscaling patterns, and monitoring with actionable examples for Node.js, Nginx, Redis, and Kubernetes.
DevOps Practice on AWS for Students
A clear and human guide that removes the fear of high AWS bills for students, explains safe ways to practice DevOps, serverless alternatives, EC2 cost control, and how to set budget alarms.
Introduction to AI
A simple and beginner-friendly explanation of what Generative AI is, how it works, why it is different from traditional AI, and what real-world applications it powers.
Transformer Architecture In LLM
A simple, visual, and beginner-friendly explanation of how the Transformer architecture works - including embeddings, positional encoding, self-attention, multi-head attention, feed-forward layers, normalization, encoder–decoder stacks, linear layers, softmax, and output embeddings.
Master Prompt Engineering
Master Prompt Engineering is the foundation skill behind all Generative AI development. It teaches you how to communicate with LLMs in a way that gives accurate, structured, and reliable outputs.