TypeScript

Bring the browser and the physical world together. Learn how to build secure, reliable JavaScript and TypeScript apps that communicate directly with real hardware. From serial terminals and sensor dashboards to test stations and device tools, this hands-on guide takes you from first connection to production-ready systems.

Learn Next.js by building a real AI-powered application, from project setup to production deployment. This book covers the complete journey: TypeScript, React, Next.js App Router, Prisma, authentication, the Vercel AI SDK (chat, RAG, tool calling), testing, security, and deployment. One project, 29 chapters, no toy demos.

From KNN to LLMs: build real AI applications in TypeScript — no GPU required. Implement machine learning from scratch, train neural networks with TensorFlow.js, integrate Google Gemini and OpenAI APIs, run local models with Ollama, build a chess engine with alpha-beta search, and query the world's knowledge graphs with SPARQL — all from the command line.

50 TypeScript F*ck Ups (Mistakes) and How to Avoid Them is a collection of common and challenging trouble spots that trip up JS and TypeScript developers, along with tips on how to recognize and resolve them. You’ll find troubleshooting tips on everything from basic mistakes like ignoring compiler warnings, to advanced patterns and tips for using JavaScript and TypeScript with your favorite libraries and frameworks. Throughout, each mistake and fix is illustrated with bite-sized examples, and easy-to-read code samples. You’ll soon be writing quality code faster than ever before!

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.

Rapid-development frameworks across Ruby on Rails, Node.js, PHP, Python, and .NET revolutionized how quickly we can ship software. But what happens when your business domain grows complex? Relying on Active Record and heavy ORM patterns tightly couples your database to your business logic. As your product matures, this coupling creates brittle, difficult-to-maintain codebases that resist change and slow down your team. The solution is the Domain Model Pattern (the foundation of Domain-Driven Design). It isolates business rules from infrastructure, creating a pure, scalable architecture. Historically, however, this pattern required a massive amount of effort and boilerplate, making it too slow for fast-paced development. That changes today. We are at an AI inflection point. Modern AI coding assistants excel at generating boilerplate and wiring infrastructure, effectively eliminating the traditional drawbacks of DDD. AI finally bridges the gap between the rapid speed of framework scaffolding and the architectural purity of a Domain Model. But to harness AI reliably, you cannot simply let it generate code unguided. You need a structured methodology to guide the machine. In this book, you will learn:How to build reliable, maintainable software using a strict, AI-assisted pipeline: Use Cases → Gherkin → Event Storming → Strategic & Tactical DDD.How to create implementation-agnostic class diagrams that serve as universal blueprints, allowing you to generate code in OOP languages (Java, C#, PHP, Python) or Functional languages (Elixir, Clojure, F#).How to future-proof your systems with a timeless methodology that prioritizes the longevity of business logic over the ephemeral nature of web frameworks.How to scale your architecture gracefully from a Majestic Monolith to Microservices without a complete rewrite. The methodology is language agnostics but in this edition all codes samples are in TypeScript. Whether you want to accelerate your development velocity, improve your system's resilience, or simply reclaim your craft by building beautiful, majestic systems, this book provides the blueprint.Discover how to combine the timeless principles of DDD with the power of AI.

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.

Your AI assistant forgets you every time the session ends. Building Persistent AI shows you how to fix that — by moving memory, personality, and identity out of the model and into a file you own and control.

Build production-ready applications with TypeScript in the age of AI. Go beyond the basics to master type-safe development, modern full-stack architectures, LLMs, intelligent agents, tool calling and the Model Context Protocol. With practical, runnable examples throughout, this book shows you how to build, test, secure and deploy serious TypeScript AI systems.

Build real-world web applications faster with Claude Code by your side. This hands-on guide takes you from web development fundamentals to production-ready full-stack engineering with React, Next.js, TypeScript and PostgreSQL. Learn practical AI-assisted workflows while building, testing, securing and deploying applications that are ready for real users.