Books

It is three in the morning and something is wrong with your LLM application. This is the book you open. Not a tutorial — a reference manual, organised by symptom, for the moment something you built has already broken.

What connects a mechanical calculator, a modern smartphone, the Internet, and artificial intelligence?Everything.The technologies that define today's digital world did not emerge independently. They are chapters in a much larger story—a story that begins with binary numbers and mechanical calculation and leads to machines capable of learning, generating content, understanding language, and taking action.The Code Revolution follows this extraordinary journey from early computation to intelligent machines.Discover how code became software, software became infrastructure, information became data, data became intelligence, and intelligence is now becoming increasingly autonomous.From Binary to Brains, this is the story of how computing changed the world—and where it may go next.

Agentic Cybersecurity: Engineering Autonomous AI Defense Cybersecurity is moving beyond traditional automation toward intelligent systems capable of continuously analyzing telemetry, investigating threats, using security tools, and executing controlled defensive actions. Agentic Cybersecurity: Engineering Autonomous AI Defense provides a practical technical overview of how to design, build, secure, and operate autonomous AI-driven cybersecurity systems.

When machines can create compelling work, what makes human involvement matter? Explore the value of authorship, the experience of making, and the relationships that give creative work its meaning.

From Companion to Control: Weaponizing AI Artificial Intelligence was introduced as a companion, an assistant, and an accelerator of human potential. But what happens when the same technology becomes an instrument of surveillance, behavioral manipulation, censorship, and control? From Companion to Control: Weaponizing AI is a deep technical investigation into how modern AI systems can be transformed from helpful tools into powerful mechanisms of influence, monitoring, and coercion.

AI-generated content is everywhere, but how do you know what is real? The AI Forensics Handbook explores the science behind detecting synthetic text, images, video and audio, revealing the signals AI leaves behind and the methods used to uncover them. Practical, rigorous and grounded in real-world limitations, this is a guide to understanding what detection can really prove.

AI search is changing how customers discover what to buy, who to trust and which businesses to choose. The AI Visibility Handbook gives you a practical roadmap to get found, cited and recommended across ChatGPT, Google, Gemini, Perplexity and more. No hype, just clear strategies you can put to work.

Advanced Aerospace Engineering: Lockheed & Partners Advanced Aerospace Engineering: Lockheed & Partners is a comprehensive, multi‑volume technical doctrine covering the full spectrum of fifth‑ and sixth‑generation aerospace systems. Designed for engineers, researchers, and defense‑technology professionals, this work provides an end‑to‑end exploration of modern air dominance—spanning stealth physics, hypersonic propulsion, sensor fusion, digital engineering, and next‑era autonomous combat platforms.

AI models do not have to be huge, slow or expensive. Distilling Intelligence explores how to build smaller models that perform at scale, then secure the APIs that serve them. From compression and distributed serving to extraction attacks, observability and incident response, this book covers what it takes to run AI reliably in the real world.

Найпоширеніша помилка самвидавця — не лінь, а неправильний порядок. Ви дописали чернетку, і перше, що хочеться, — почистити мову. Приємна робота: кожне речення стає кращим, є відчуття руху. А через два місяці з'ясовується, що четвертий розділ треба викинути цілком. І всі ті відшліфовані речення підуть із ним. Нова книжка — про те, у якому порядку це робиться.

Build and publish TapGlint, a fast reflex web game with a global leaderboard, using browser-based AI tools and no prior coding experience. This hands-on beginner's guide teaches clear prompting, step-by-step app building, online data with Supabase, debugging, mobile-friendly polish, and deployment to a live link you can share.

AI has moved from the lab to the boardroom. The Chief AI Officer offers a practical guide to leading that shift, from deciding whether you need a CAIO to building the teams, governance and strategy that turn AI into real business value.

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.

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.

Build AI agents that reason when necessary, preserve what they learn, and stop paying the intelligence premium for work they already know how to perform. Smart AI Agents combines architecture, working implementations, public source code, and measured experiments to show how agents can learn once and execute many.