Web Development

The battle-tested prompt framework and architectural system rules to turn any AI coding assistant into a principal full-stack engineer.

Web accessibility is not a special project or a legal box to tick. It is good design and good development for everyone. This practical guide shows how to build interfaces that work for real people, without the confusion, jargon or guesswork.

Costruisci da zero un archivio documentale completo con Django 6.1, HTMX e ricerca per significato con pgvector, fino alla messa in produzione.

Design reliable, secure, and evolvable APIs with visual explanations, practical HTTP and OpenAPI examples, and production troubleshooting. Follow the path from service boundaries and contracts to resilience, safe change, and operations.

Tabs are easy until someone presses a key. Build ten web components hard enough to expose the real problems: focus, forms, keyboard models, virtualization and pointer geometry. Every one is built with Lit, tested in a real browser, and accessible by construction. Read the concept, build the component, run the tests, then try the exercises and compare with tested solutions.

Prepare for real-world frontend interviews with practical answers, coding patterns, trade-offs, and senior-level insights across React Native, React, JavaScript, TypeScript, Node.js, DSA, and System Design.

Complete Ebook + Quick Reference Guide + All 5 Project Folders (Pre-written Starter Templates + Complete Final Source Code).

In this book, one estate runs through all fourteen chapters. There are eight services across two regions, a hybrid link to an older data centre, a storefront that real customers use, and one service backed by a language model. We use OpenObserve for that, bring all the signals into it, shape the data until long-term storage becomes affordable, and then spend the rest of the time diagnosing the estate when it breaks. There won't be a feature tour here. The features don't stand the test of time, and the screenshots are even worse. What you'll find is a method. First, scope the flag, orient before acting, form a hypothesis you can disprove, test it against evidence rather than instinct, repair, verify, and add the prevention that stops the same failure twice. That loop works whatever platform you use.

Build real cross-platform apps with Python and Flet. This practical guide takes you from your first app to production, covering controls, navigation, architecture, testing and deployment. Along the way, you’ll learn where Flet shines, where it falls short and how to make smart technology choices.

Learn Node.js and Express.js by building practical web applications, not by memorizing endless syntax. Node.js and Express.js Simplified guides you through the essential concepts you need to create servers, handle requests and data, organize Express applications, connect frontends, test your code, and deploy real projects. Clear explanations, practical examples, and a focus on understanding make this an approachable guide for anyone ready to take their JavaScript skills beyond the browser. Printed copies of this book are also available on Amazon.

Frameworks come and go; components built on the browser's own element model don't have to. This book teaches the platform first, then Lit on top of it, and builds one real design system the whole way through: from a bare button to a versioned, documented, server-renderable npm package.

Build a complete TypeScript MCP App with a portable text fallback, accessible React dashboard, server-validated action, and tests at every boundary. Includes the tested companion project.

What if your browser could run AI without sending your data to a server? AI in the Browser shows you how to build fast, private and fully local AI applications using WebGPU, WebAssembly and on-device LLMs. From GPU compute to a complete local chat interface, you’ll build everything yourself with practical code.

Build a strong foundation in Gleam and learn how to turn its simplicity into reliable, concurrent systems. From language basics and the BEAM to OTP, web development and deployment, this practical guide uses clear explanations and runnable examples to help you build software that is safe, scalable and ready for production.

Build real machine learning applications with TensorFlow.js, from your first model to production-ready systems. Learn how to train and deploy models in the browser and Node.js, tackle real-world challenges and explore modern techniques with practical JavaScript and TypeScript examples you can run and adapt.