Leanpub Header

Skip to main content

Filters

Category: "Artificial Intelligence"

Artificial Intelligence

New to Artificial Intelligence? Read the Artificial Intelligence article

  1. AI for Product Managers
    AI for Product Managers
    Leverage Artificial Intelligence to Build Great Products
    Valerio Zanini

    AI is reshaping industries and products. This book helps Product Managers understand how to use AI tools to plan, design, and deliver great products. It explains the AI stack and strategic frameworks for integrating AI features into products; how to use GenAI to perform customer discovery, market research, and prototypings; and how the Product Development Life Cycle and the Model Development Life Cycle intersect when creating AI-driven products.

  2. Building AI-Native Software Systems

    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.

  3. Developer Productivity and Cognitive Automation

    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

  4. Stop Implementing AI
    Stop Implementing AI
    The No-BS Playbook for AI That Works
    Cliff Robbins

    Most companies are stuck in "pilot purgatory"—endless AI experiments that never scale. Teams spend weeks sharing clever prompts and one-off scripts, but nothing makes it into production. Budgets evaporate, engineers' enthusiasm curdles into cynicism, and executives start asking "we spent how much on this?" The problem isn't the AI tools—it's the approach. AI models are inherently non-deterministic (ask the same question twice, get different answers), while software engineering demands deterministic, reliable results. Without structure to bridge this gap, AI adoption fails spectacularly. This book introduces PIT™ (Plan Implement Test), a proven methodology that transforms unpredictable AI outputs into reliable engineering workflows. Built from thousands of hours of real development work, PIT™ channels AI's capabilities through structured planning, phased implementation, and comprehensive testing—delivering the consistency that production code demands.

  5. Creating AI Agents with MCP - Model Context Protocol
    Creating AI Agents with MCP - Model Context Protocol
    Part of the series, "The Only Book You'll Need On..."
    Lydia Evelyn and Bruce Hopkins

    Get started quickly, creating applications for the Model Context Protocol (MCP) using the official MCP SDKs for Python, Java 21, and Node.js. Quickly master, all of the concepts needed in order to build MCP servers, including transport protocols, tools, resources, prompts, roots, and sampling. Learn how to get familiar with popular MCP client applications such as, Claude Desktop, Postman, and the MCP Inspector.

  6. Agent-Friendly Code: Architecting for AI-First Development
    Agent-Friendly Code: Architecting for AI-First Development
    Build Smarter Code for Humans, Machines, and the Future
    Dmitriy Zhuk

    Code isn’t just for humans anymore. Agent-Friendly Code is your guide to building clean, modular, and AI-native systems that collaborate with tools like Cursor, Copilot, and GPTs. Learn how to design smarter codebases with flows, metadata, and naming patterns that empower both developers and intelligent agents. The future of development starts here.

  7. Generative AI in a Nutshell
    Generative AI in a Nutshell
    How to Survive and Thrive in the Age of AI
    Henrik Kniberg

    This is a fast-paced, practical, and visual guide to the strange new world of Generative AI. It is like an extended version of Henrik's viral video with the same name. Course version: The book is also available as a course on Leanpub. If your company wants to pay for you to take an AI course, now you can :) Print version: Paperback & Hardcover are available on Amazon. Use your own country's amazon site (ex: Amazon.se for Sweden) to minimize shipping time and cost.

  8. Windows 11 QuickStart
    Windows 11 QuickStart
    A Complete Visual Reference Guide For Beginners, Students & Seniors
    Anand Narayanaswamy

    Windows 11 QuickStart provides a detailed overview of all the core features of Windows 11 in a simple style and language. The book will serve as a perfect study material for beginners, students & senior citizens. The book includes 300+ pages of content with colored screenshots. The latest update includes Windows Copilot coverage.

  9. Practical Python Artificial Intelligence Programming
    Practical Python Artificial Intelligence Programming
    Using Large Language Models, Deep Learning, Machine Learning, Symbolic AI, and Knowledge Representation
    Mark Watson

    A fun dive into AI programming with Python.

  10. AI Engineering Native Patterns
    AI Engineering Native Patterns
    Principles, Architectures and Production-Ready Implementations
    Steve Publications

    Building AI-powered software takes more than plugging into an LLM. This book explores the engineering principles and architectural patterns behind reliable, secure and scalable AI systems. Learn how to move from prototypes to production with practical techniques that stand the test of time, even as models and frameworks evolve.

  11. The AI Engineer's Path
    The AI Engineer's Path
    Skills, Strategies and Principles for Building a Successful Career in Artificial Intelligence Engineering
    Steve Publications

    Breaking into AI engineering takes more than knowing how to code. You need the right skills, practical experience and a clear sense of where the field is heading. Whether you're starting out or looking to move into leadership, this book shows you how to build real-world AI systems, stand out in the job market and grow a career that lasts.

  12. The Shape of Generated Code, Vol. 1 — Edycja polska
    The Shape of Generated Code, Vol. 1 — Edycja polska
    The Reviewer's Kit: Praktyczna metoda przeglądu kodu generowanego przez AI
    Enneal IT

    Kod generowany przez AI kompiluje się, przechodzi testy i wygląda na gotowy. Błędy, które się liczą, kryją się w tym, czego brakuje. Praktyczna metoda przeglądu przed wdrożeniem.

  13. The Shape of Generated Code, Vol. 1 — Edição em português
    The Shape of Generated Code, Vol. 1 — Edição em português
    The Reviewer's Kit: um método prático para revisar código gerado por IA
    Enneal IT

    Código gerado por IA compila, passa nos testes e parece pronto. Os defeitos que importam estão no que falta. Um método prático para revisar esse código antes do deploy.

  14. Building AI Agents with the Cursor Agent SDK
    Building AI Agents with the Cursor Agent SDK
    Engineering Reference for Production-Grade Agentic Systems
    Steve Publications

    Building reliable AI agents takes more than connecting an LLM to a few tools. This book takes you inside the Cursor Agent SDK, showing you how to build, test and deploy agents that hold up in production. Learn the APIs, understand the architecture and turn agentic ideas into systems you can trust.

  15. A Practical Guide to Pruning Experts in Mixture-of-Experts (MoE) Models
    A Practical Guide to Pruning Experts in Mixture-of-Experts (MoE) Models
    From First Principles to Production Deployment
    Steve Publications

    What if you could make massive Mixture-of-Experts models smaller without retraining them from scratch? This book takes you from the fundamentals of expert pruning to practical implementation, covering proven methods, working code and real-world deployment challenges. Learn how to identify redundant experts, preserve model performance and build pruning solutions that work in production.