Books

This book explains Samman Technical Coaching. It is a method for helping software teams to become more agile, learn Test-Driven Development, and raise the quality of their work.

For those who want to build controlled, reproducible AI systems entirely within their own infrastructure, this book is the most practical and implementation-focused trainer. Instead of relying on external APIs or cloud-hosted intelligence services, this book clearly demonstrates how Apache Spark can orchestrate data preparation, model training, batch inference, reporting, and LLM acceleration in a disciplined and transparent way.

Learn how to design embedded systems the sane way: on your Linux host, with modern C++, predictable timing, clean interfaces, and no unnecessary complexity.

A high-performance data access layer must resonate with the underlying database system. Knowing the inner workings of a relational database and the data access frameworks in use can make the difference between a high-performance enterprise application and one that barely crawls.

Are you a VP or Head of Engineering considering the best quality engineering model for your company? Are you a director of Engineering tasked with rolling out a Quality Coach Model? Are you a test lead or software tester shifting to a quality coach role? The Quality Coach Handbook is your practical guide to shifting to a model where the whole team owns quality and in particular software engineers design, build, test and support software. Print version: Paperback and hardcover are available on Amazon. Use your country's Amazon site (e.g., Amazon.com.au for Australia) to minimise shipping time and cost.

Discover the power of thinking in logic. This hands-on guide takes you from your first Prolog query to advanced techniques in constraints, grammars, AI search, meta-programming and production development. With clear explanations and executable SWI-Prolog examples, you’ll learn not just how Prolog works, but how to use it well.

Discover Smalltalk, the language that shaped object-oriented programming. From its core philosophy to hands-on techniques and modern tools, this guide takes you from your first message to confident development in a live, interactive environment. Learn why Smalltalk still matters and how its ideas can change the way you think about code.

Transform the way you think about code with Clojure. From your first expression to professional application design, The Clojure Programming Journey reveals the power of functional programming, immutability, and elegant software architecture. Build lasting skills in a language designed for simplicity, clarity, and mastery.

The “perfect architecture” is a myth. The adaptable enterprise wins. Learn how to design evolutionary systems, quantify technical debt, and align engineering with business ROI.

Facing the insanity that is pipeline development alongside a production in full swing, "Practical Python for Production under Pressure" helps TDs to deliver quality tools and pipelines amidst the chaos.This book focuses on practical workflows and theory to build practical tools and pipelines within an ever changing environment using python, PySide and duct tape ingenuity. Learn about managing communications, building pipelines, working with AI in production, user experience and more.

What does it take to build distributed systems that keep working when things go wrong? Engineering Distributed Systems on the BEAM goes beyond syntax to show how Erlang/OTP turns concurrency, failure and recovery into practical design tools. Build a real system from the ground up, then learn how to scale, deploy and operate it with confidence.

Most AI systems can talk, but few can actually do. This book shows you how to build AI agents that reliably use tools, call APIs and automate real workflows. Using DSPy, Pydantic AI, the Claude Agent SDK, the OpenAI Agents SDK and Google ADK, you'll learn practical patterns for building reliable agents that work in production.

Concurrency is where small mistakes become serious problems. This practical guide takes you from hardware and memory models to locks, atomics and lock-free algorithms, with a focus on building fast, reliable systems that hold up under real production workloads.

React Native got you far. But when performance, maintainability and long-term control start to matter, native development deserves another look. This book explores Swift, SwiftUI, Kotlin and Jetpack Compose, helping you understand when going native makes sense and how to make the move without losing what already works.

Discover Mojo, a language that pairs Python-friendly syntax with serious systems-level speed. This hands-on guide takes you from your first program to optimized CPU and GPU workloads, with practical techniques for debugging, profiling and building production-ready software for high-performance computing and AI.