Software Engineering

Build an Obsidian second brain your AI can actually use, without making it read everything you have ever written.

Software development is changing fast, and Claude Code is at the center of that shift. Learn how to work effectively with AI agents to write code, automate workflows, and build larger projects with confidence. From setup and prompt design to real-world engineering practices, this book provides a practical guide to modern software development in 2026.

Jetpack Compose is the future of Android UI. Master how it works internally and become a more efficient developer with it. You'll also find it valuable if you are not an Android dev. This book provides all the details to understand how the Compose compiler & runtime work, and how to create a client library using them. You could also be interested on the Jetpack Compose Internals course by Jorge Castillo. Find it in composeinternals.com

173 C++ interview questions. Junior to Senior. auto to C++26. Every question has follow-ups, code samples, and cross-references. A 100-day study plan with spaced repetition gets you through them all. A code-reading capstone sharpens your skills under pressure. Not just the answers — the reasoning that survives the follow-up questions.

Has visto a un modelo de lenguaje hacer media hora de trabajo por su cuenta. Este libro trata de la pregunta que vino después: ¿hasta qué punto puedes confiar en él?

Legacy modernization is an evidence problem before it is a code-generation problem. Use Claude Code to recover hidden behavior, build a verification harness, and move critical systems in controlled, reversible slices without handing production decisions to AI. Includes 26 practical chapters, 86 diagrams, and a runnable companion lab.

Learn how modern LLM inference engines work by building one from scratch in Rust. From transformers and tokenization to KV caching, quantization, batching, and GPU optimization, this book combines theory, hands-on code, and performance engineering to help you create fast, production-ready AI systems.

RAG answers you can trace to a source: ingestion, permissions, hybrid search, reranking, evals and regression gates, drawn and built in Python.

#1 Best Seller in Management Science (Amazon International, France, Germany, Netherlands, Poland, Sweden – Feb 2026) and in other categories. Available worldwide on Amazon (Hardcover, Paperback, Kindle) and across all major digital platforms, including Leanpub, Apple Books, and Google Play. Learn how to drive your organizational performance with people and AI to 10X and beyond — in impact and relevance.

You want to analyse, understand and capture the subject matter of a domain, typically because you want to build a software system in that domain? You're looking for abstractions to describe and ultimately execute said subject matter? Then this book is for you: it's chock-full of experience and practices for tackling this challenge.

Ready to build AI systems that work beyond the demo? This book takes you from the fundamentals to production-ready AI, covering everything from neural networks and LLMs to RAG, agents, optimization and deployment. Learn the theory, understand the code and gain the skills to build reliable AI systems from the ground up.

A local model returns the expected answer. How do we know which layers ran on the GPU? In Local AI on RTX Spark Laptops, we investigate questions like this through 251 hands-on WSL2 exercises, following the evidence from model-loader logs down to individual CUDA kernels.

This book takes you straight into the Compose compiler, runtime, and UI layer, all about Compose performance tuning, reading the source line by line and explaining the why behind every design decision, then connecting each internal mechanism back to the code you write every day. The Course: Jetpack Compose Mechanisms | Hardcover | ISBN-13: 9798185354780

본 책은 단순히 “코틀린을 어떻게 사용하는가”를 넘어, “코틀린이 실제로 어떻게 동작하는가”까지 안내합니다. 내부 구현을 들여다보고, 바이트코드와 컴파일러의 동작을 명확히 탐구하며, 언어를 형성하는 핵심 내부 구조를 파헤칩니다. 기초 문법부터 코루틴, 컴파일러에 이르기까지 더 깊이 이해하고, 더 자신 있게 코틀린 코드를 작성하고 싶은 분들께는 좋은 지침서가 될 것입니다. 특히, 우리가 일상에서 친숙하게 사용하던 모든 언어적인 형태가 왜 지금과 같은 형태로 설계되었는지를 탐구하며 사고의 깊이를 더할 수 있습니다. Hardcover | Paperback | ISBN: 979-8243872744 [Course] Practical Kotlin Deep Dive Course