Books

The Future of Software Engineering Has Arrived.AI can now write code, generate tests, analyze requirements, explain systems, assist with debugging, and automate increasingly complex engineering tasks.But building great software has never been just about writing code.How do you design the right architecture?How do you build systems that remain secure and reliable at scale?How do you integrate AI without sacrificing quality, privacy, or control?How do you use AI to make engineers more effective without replacing engineering judgment?Engineering Software Systems in the AI Era explores these questions and provides a practical framework for designing, building, testing, securing, deploying, operating, and evolving modern software systems.Inside, you will explore:Modern software architecture and system designCloud-native and scalable systemsData architecture and intelligent data systemsAI engineering and AI-native applicationsCybersecurity and privacy by designSoftware quality and reliabilityDevOps, DevSecOps, and continuous deliveryObservability and production engineeringAI-augmented software developmentAI agents and intelligent engineering workflowsPlatform engineeringTechnical debt and engineering strategyAI governance and risk managementTechnical leadership in the AI eraThe future of software engineeringThe central message is simple:AI may make software development faster. Engineering makes software better.Learn how to combine the power of artificial intelligence with the discipline of software engineering to build systems that are secure, scalable, reliable, intelligent, maintainable, and ready for the future.

A practical, operations-focused handbook for engineers working with HPC and AI infrastructure. Learn how to troubleshoot Linux, InfiniBand, NVIDIA GPUs, Slurm, UFM, NCCL, storage, and cluster infrastructure using a structured, evidence-driven approach.

From mathematical foundations and PyTorch to production-grade training of language, vision-language, audio, diffusion, and embedding models

Master spatial computing, advanced algorithms, and mathematical modeling through practical code and theory.

Nature has already run the experiments. We just need to copy the results. Before human engineers built sensors, evolution spent millions of years perfecting them.Sensory Codex – Nature: The Big Scientist decodes 500 extraordinary biological mechanisms that bridge the gap between biology and the technologies of tomorrow. Ready to look at life through a different lens?

Chunmun Singh engineered his life to be a perfectly sterile, closed system—until nine caterpillars decided his kitchen was a playground. When his daily ritual of exiling the intruders inadvertently triggers a metaphysical metamorphosis, the newly formed butterflies systematically dismantle his perception of time, space, and memory. To survive his unraveling reality, a man obsessed with control must learn the hardest lesson of all: how to leave his front door open to the chaos of the world.

Take a practical journey through SGLang, from its core architecture to real-world deployment and optimization. Built for engineers who need to run LLM inference reliably at scale, this handbook breaks down the tools, techniques and operational know-how needed to build and maintain production-ready SGLang systems.

​"Feeling left behind by the AI revolution? Don't be! 'AI Made Simple' cuts through the tech jargon and gives you a clear, practical roadmap to understanding and using artificial intelligence in your everyday life. No coding skills required. Grab your copy today and stay ahead!"

A complete, cinematic EVL guide that teaches how to dispute credit errors, force investigations, and rebuild credit using certified mail, documentation, and structured timelines.

Take your IPv6 skills beyond the basics. Advanced IPv6 Engineering covers real-world network design, routing, security, automation and operations at scale, with practical examples for Linux, enterprise networks, cloud, containers and Kubernetes. Built for engineers who need to deploy, secure and manage IPv6 with confidence.

Tu equipo no va lento porque escriba mal código: va lento porque escribe código de más. Una guía práctica para gestionar el coste basal del software y recuperar la capacidad del equipo, combinando Lean Software Development, Extreme Programming y mentalidad de producto.

What if the Bhagavad Gita began with a code review? A Merge Request adds two harmless getters to an immutable Money Value Object. The tests pass. The pipeline is green. Arjuna still cannot approve it. Standing between the DDD Alliance and the Just Ship It Legion, he turns to Krishna for guidance on domain truth, technical karma, architectural duty, knowledge crunching, entropy—and the dangerous illusion that a working implementation must also be a truthful model. The Logs of the Bhagavad Gita is an affectionate, technically serious and occasionally irresponsible encounter between ancient philosophy and modern software development. No framework will attain enlightenment. Your Aggregate Root might.

Your AI assistant forgets you every time the session ends. Building Persistent AI shows you how to fix that — by moving memory, personality, and identity out of the model and into a file you own and control.

What really makes a compression system fast, efficient and effective? Using bzip3 as a practical case study, this book breaks down the building blocks behind modern compression, from data transforms and match finding to entropy coding and parallel processing. Learn how to design, implement and tune compression systems for real-world performance.