Books

The first book that addresses engineering management specifically for the AI-native era. Classic EM books like The Manager's Path and An Elegant Puzzle predate agentic coding tools — this one starts where they left off. Every chapter produces a concrete artifact: a hiring rubric, a performance calibration guide, a budget template, a rollout plan. By the end, you have a complete management playbook for leading engineering teams where agents write most of the code.

This book introduces screenshot testing (also called visual or snapshot testing): an automated approach that records a reference image of the expected design, then compares each test run against it to detect visual changes. It’s a natural complement to functional UI tests, which verify behavior but not appearance. The book focuses on the fundamental principles that apply to all frameworks. It works through the questions teams actually face: when to use screenshot tests and when not to, what to verify, which frameworks and tools fit your workflow, how to generate tests from preview functions in Jetpack Compose, how to integrate tests into a CI/CD pipeline, and how to optimize the whole process. By the end, you’ll be able to choose the framework that best suits your project and build a safety net that catches visual bugs before release. Every concept is demonstrated with a demo mood tracker application, with all code available online.

88 per cent of AI agent projects never reach production, not because the model failed, but because the harness around it was never built. This is the practitioner's handbook for engineers who deploy AI inside real organisations, covering the complete journey from discovery to handover with harness engineering as the core technical discipline.

Every .map(), .filter(), and .collect() you write is built on a single method: next(). This book shows you what's underneath — and what you can build on top.

Das Buch behandelt alle Themen des aktuellen CISSP-Prüfungslehrplans in einem Format, das es ermöglicht, spezifische Prüfungsdomänen und Konzepte auf einen Blick zu vertiefen, wodurch es sich zu einer unverzichtbaren Prüfungsressource für alle entwickelt, die sich ohne Zeit- und Geldverschwendung auf die Prüfung vorbereiten möchten.

The Corporate Sabotage Field Guide is a satirical field manual examining how organizations quietly undermine themselves from the inside. Framed like a classified dossier from the Office of Strategic Systemic Decay (OSSD), it catalogs familiar managerial practices — subtly weaponized to erode clarity, stall momentum, and sabotage culture under the guise of professionalism. Darkly humorous, uncomfortably accurate, and grounded in real systems behavior, it’s written for those who recognize that dysfunction often wears a lanyard.

Unit Testing has moved from fringe to mainstream, which is great. Unfortunately, developers are creating mountains of unmaintainable tests as a side effect. I've been fighting the maintenance battle pretty aggressively for years, and this book captures what I believe is the most effective way to test.

A practical, systems-first guide to understanding LLMs, RAG, AI agents, GraphRAG, evaluation, fine-tuning, and modern AI applications — without needing to start with equations.

How to develop an Artificial Intelligence application? This book includes Agility foundations, engineering practices, real examples, and suggestions for implementing them in your company. Foreword by Jeff Sutherland, co-author of Scrum and the Agile Manifesto.

Want to learn Python from the ground up and master its real-world applications?Python Programming: Basics to Advanced Concepts is your complete guide to one of the world's most powerful and versatile programming languages. Whether you are a BCA or MCA student, an aspiring software developer, a competitive examination candidate, or a technology enthusiast, this book provides a structured learning path from Python fundamentals to advanced programming techniques.Inside this book, you will learn:✔ Python syntax, variables, data types, and operators✔ Conditional statements, loops, and functions✔ Lists, tuples, dictionaries, sets, and strings✔ Object-Oriented Programming (OOP)✔ Exception handling and file management✔ Modules, packages, generators, and decorators✔ Database programming with SQLite and MySQL✔ GUI development using Tkinter✔ Web development with Flask and Django✔ Data analysis using NumPy and Pandas✔ Machine Learning fundamentals with Python✔ Network programming and cybersecurity applications✔ Testing, debugging, and performance optimization✔ End-to-end Python project developmentThe book combines academic rigor with practical learning, offering clear explanations, coding examples, exercises, and real-world applications throughout every chapter.Whether your goal is to excel in university examinations, prepare for interviews, build software projects, or launch a professional programming career, this book provides the knowledge, skills, and confidence required to become a proficient Python developer.Start your Python journey today and unlock opportunities in software development, data science, artificial intelligence, cybersecurity, automation, and beyond.

A beginner-friendly introduction to machine learning with Python, that is based on the PyCaret and Streamlit libraries. Readers will delve into the fascinating world of artificial intelligence, by easily training and deploying their ML models!

Learn how to find interesting behaviour and flaws in JavaScript. Reading this book you will find the latest and greatest techniques for hacking JavaScript and generating XSS payloads. Includes ways to construct JavaScript using only +[]()! characters. Never heard of DOM Clobbering? This book has all the details.

"Your Kubernetes cluster is one expired certificate away from disaster. Are you ready?" Master Certificate Management in Kubernetes—automate, secure, and scale TLS like a pro. No more downtime, no more manual renewals. Just peace of mind.

STOP building fragile AI wrappers. START designing resilient AI systems. Lots of companies are trying to make their small AI experiments into big products, but they don't have a good plan. Engineers need a practical guide to build these new AI systems the right way - so they can handle scale, be reliable, and won't cost too much. This book is that guide. It explains how to design systems that use AI models. This book breaks down the architecture of real AI applications, like an AI-powered code editor or a smart learning app. It gives you a deep, practical look at the real-world challenges and solutions for building these systems. It discusses system design concepts for systems that use LLMs.

Have you ever wondered how certain pieces of C++ code work and how you can apply the technique to your code? What can you do with decltype beyond the usual type deduction? Then, have a look into Tips and Tricks with templates, which is part of the brand new Notebook C++ series. The paperback version is available in color @Amazon.