One book rarely changes your life. A system of books can.Learn how to build a portfolio of small nonfiction titles that create leverage, audience growth, and long-term income.
An AI-powered framework for predictive bug analysis and security auditing. BugHawk combines AST-based structural validation with transformer-based reasoning to detect vulnerabilities and improve software reliability.
What happens when software begins to think for itself? The Rise of AI-Native Software takes you on a journey through the evolution of coding, from human-written logic to AI-generated intelligence. Ayodeji Stephen Saliu reveals how artificial intelligence is transforming development workflows, redefining productivity, and birthing a new generation of “AI-native” applications that learn, adapt, and co-create with humans.Through vivid examples and frameworks, the book uncovers how developers can move beyond automation toward true cognitive collaboration. This is not a story of machines replacing engineers, but of a partnership that amplifies human potential, unleashing creativity, precision, and innovation at scale.
What happens when machines stop merely assisting developers and start thinking with them?Developer Productivity and Cognitive Automation takes you inside the next evolution of software engineering: where AI becomes your co-creator, automation becomes cognitive, and productivity is measured not in lines of code, but in focus, creativity, and flow.Through vivid stories, from high-pressure fintech teams in Lagos to AI-powered engineering squads in the UK, the book unveils how the smartest organizations are redefining “developer productivity” around mental energy, collaboration, and innovation. Whether you’re a coder, team lead, or tech executive, this book shows you how to build systems that amplify human intelligence, not replace it
A strategic, executive-level guide to making the most of your company's AI efforts.
Learn to think like AI through a working LLM you build yourself. Battle-tested systems thinking from Cray Research applied to modern AI. Accomplish what others consider impossible.
Unlock the secrets to skyrocketing website traffic, mastering SEO, and dominating Google’s first page with practical strategies, expert insights, and long-term growth techniques.
Did you ever wonder which ChatBot fits you better? Could bots have distinct personalities? And what about inference transparency, like system prompts? Explore how AI models and frontends differ in structure, personality, and usability – and find the best fit for your needs!
In diesem Primer führen wir systematisch in die Konzepte und Architektur von RAG ein. Wir behandeln sowohl theoretische Grundlagen als auch praktische Implementierungsaspekte wie Chunking, Embedding und Vektordatenbanken. Außerdem teilen wir unsere Praxiserfahrung aus echten Projekten. Für Softwarearchitekt:innen und -entwickler:innen, die einen kompakten, aber fundierten Einstieg ins Thema suchen und den Einsatz von RAG in der eigenen Organisation bewerten wollen.
AI can generate an answer. But can it safely take action?AI agents are changing software by giving intelligent systems the ability to plan, use tools, interact with external systems, and execute multi-step workflows.Moving from an impressive prototype to a dependable production system, however, requires much more than a powerful model.AI Agents & Agentic Workflows in Production explores the engineering principles behind production-grade agentic systems—from architecture and tool use to memory, planning, orchestration, evaluation, security, reliability, observability, scalability, governance, and continuous operation.Learn how to build agents that don't just act—but act reliably, safely, measurably, and under control.
Unlock NVIDIA GPU performance from Rust. This practical guide takes you from GPU architecture and memory hierarchies to writing and optimizing real CUDA Rust kernels. Explore both official Rust CUDA approaches with runnable examples and learn how to build fast, production-ready GPU code without giving up Rust’s safety and clarity.
Most AIOps material is written by people selling AIOps. This one separates what works in production today from what is still a roadmap promise — and says which is which, chapter by chapter.
This textbook accompanies a year-long Discrete Mathematics course for Computer Science and AI students, covering classical topics such as combinatorics, graph theory, probability, logic, and set theory. It emphasizes applications across computer science and complements the standard curriculum with advanced topics in each chapter.
Ideas are abundant. Outcomes are rare.What happens when Forward Deployment evolves beyond an engineering role and becomes an enterprise operating capability?Idea to Outcome explores how enterprises can bring business context, engineering, AI and multidisciplinary teams together to move from discovery to deployment—and from activity to measurable outcomes.The distance between an idea and its outcome is where enterprise value is either created—or lost.
Stop choosing between an AI that's powerful and one you can certify. From Shannon's entropy to a reproducible, auditable Industry Language Model — built in C#, wrapped in Deterministic Islands, with every number independently verified.