Books

Build a working SQL database engine in C++20 -- from raw pages to a realquery executor -- one compilable, measured challenge at a time. Everyperformance claim is a benchmark you run yourself; every unit ends with areal bug, caught red-handed and fixed. Nothing asserted. Everythingdemonstrated.

The book about advanced Kotlin features most of us use, but nearly nobody understands, like variance modifiers, property delegation, interface delegation, contracts, multiplatform development, annotation processing, KSP, compiler plugins, and static analyzers.

A practical guide to fine-tuning Large Language Models (LLMs), offering both a high-level overview and detailed instructions on how to train these models for specific tasks.Get the paperback version here. Get the Kindle version here.

What if TransE, ComplEx, RotatE and the rest of the knowledge graph “model zoo” were different views of one geometric operator? Learn the mathematics, code and practical design principles behind structured memory for trustworthy AI.

A good software architecture should keep the cost of development low over the complete lifetime of an application. This book discusses how the Hexagonal Architecture style tries to fulfill this goal and translates the concepts into actual code to provide inspiration for software developers.

GPU Parallel Computing: From Basics to Breakthroughs — A Technical Guide to GPU Programming If you want to understand how modern GPUs work and how to use them effectively for high-performance workloads, this book provides the technical foundation required.This book assumes no prior exposure to GPU internals; however, a working knowledge of electronics and general computer architecture is recommended. It is written for students, engineers, researchers, and data scientists who are new to GPU architecture and parallel programming and want a rigorous introduction before progressing into optimization and large-scale GPU systems.

This book will show you how to effectively use Ableton Live's capabilities to produce music, enhancing the standard of your musical endeavors and enabling you to confidently include production methods in your music projects.

It's never been easier to build an AI agent — and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems with the depth to predict failure before it happens, engineer graceful degradation over catastrophic failure, and take absolute architectural ownership. Get the paperback from amazon.

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.

Leanpub revenue supports OpenIntro. OpenIntro is a US-based nonprofit that provides textbook services to help increase adoption of OER textbooks and save students money. These textbook services are fully financed by Leanpub contributions on supported books. APEX Calculus website: apexcalculus.comOpenIntro website: openintro.org

Get up to speed with C++20 and its most impactful features.

Ever wonder why things get harder over time? You were only taught half of coding. Learn the other half and reverse code rot.

Documentation format explains 10 to 127 times more variance in AI-generated code than model choice. We ran 21,462 tests to prove it. This book shows you which formats work, which ones break, and why the industry standard is the worst option for AI consumption.

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.