Books

Ser un Domain-Driven Software Engineer no significa saber patrones complejos de codigo. Se trata de entender el problema del negocio antes de tocar el teclado. Es la diferencia entre ejecutar tareas y aportar soluciones. Es la diferencia entre ser considerado un gato o una inversión.

Most data modelling books teach you the craft. This one teaches you the reality. Seven chapters of honest, practical guidance from real project experience — covering conceptual modelling, governance, enterprise challenges, and the human side of data work that nobody else writes about.

Aprende a llevar Claude Code más allá de las demos: agentes que usan herramientas, respetan permisos, dejan trazas y funcionan dentro de sistemas reales de producción. Una guía práctica para diseñar, evaluar y escalar agentes sin perder control, calidad ni seguridad.

Python Engineering Judgment is for engineers who already know Python and want to build the skill AI makes more valuable: the ability to reason about code, systems, tradeoffs, and failure modes. This deep, practical field guide teaches the Python object model, type system, decorators, generators, concurrency, asyncio, multiprocessing, API design, packaging, performance, debugging, security, observability, and reliability through the lens of real-world engineering judgment. Use it to prepare for senior, staff, principal, and tech-lead interviews, and to make better decisions in code reviews and production systems.

In a world of infinite AI-generated text, fluency is no longer a credential—trust is. Learn how to engineer "signal" into your technical writing and build an authoritative presence that algorithms can't replicate. This is the definitive practitioner’s guide for publishing in the AI era.

Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.

Spring Security 7 from the inside out. Trace requests through the filter chain, build a custom identity provider with Spring Authorization Server, secure reactive WebFlux services, and ship production hardened systems backed by JWT, OAuth2, OIDC, SAML2, WebAuthn, and zero trust microservice patterns. Built around CineTrack on Spring Boot 4 and Java 21. Written for engineers who already ship Spring Boot in production.

Postgres woke you up at three in the morning. Same code. Same hardware. Something changed. This book explains what changed and why, starting from the one idea that makes everything else legible: MVCC.

Navigate the architectural discontinuity of the Foundation Model Era with this comprehensive guide designed for professionals sitting at the intersection of technology and leadership. Master the intersection of technical precision and strategic oversight through the RACE framework, robust ethical principles, and the operational realities of MLOps. From the legal mandates of the EU AI Act to the emerging risks of agentic AI, this guide empowers you to lead AI transformation with intention and accountability.

Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.

Stop being a 'Syntax Coder' and start becoming a 'Diagnostic Architect' by mastering the hidden mental models of software failure. This book teaches you how to own every logical branch of your system and eliminate bugs before they even happen. Stop guessing and start diagnosing.

If you've ever wondered what the quantum computing stack actually looks like from top to bottom, this is the book.

如果惯性可以被编程会怎样？本书在 11 种编程语言中实现了 NKTg 定律 = f(x, v, m)，并通过真实 ESA 火星数据验证，误差仅为 0.208% —— 从 Python 到 Assembly，从人工智能到量子计算。

From the "original sin" of the stateless web to the looming threat of quantum-powered breaches, Something You Don't Know decodes the thousands of years of human ingenuity behind the login box. You will master modern engineering essentials like passkeys, Zero Trust architecture, and ML-KEM while learning to secure the next frontier: autonomous AI agents. It is the definitive guide for senior engineers who want to understand the physics of identity and build systems that are truly unshakeable.