Leanpub Header

Skip to main content

Filters

Category: "Harness Engineering"

Books

  1. Claude Code: From Basics to Mastery
    The Complete Guide to Agentic Software Development in 2026
    Steve T. Publications

    Software development is changing fast, and Claude Code is at the center of that shift. Mastering Claude Code shows developers how to work effectively with AI agents to write code, automate workflows, and tackle larger projects with confidence. Covering everything from setup and prompt design to real-world engineering practices, this book provides a practical roadmap for anyone who wants to understand how modern software is being built in 2026.

  2. Claude Fable 5: The Definitive Guide to Prompt Engineering and Harness Design
    Building Production-Grade AI Applications at Scale
    Steve T. Publications

    Unlock the full potential of Claude Fable 5 with a practical guide built for developers who are shipping real AI applications. From prompt engineering and agent orchestration to RAG, memory, safety, evaluation, and production deployment, this definitive reference delivers proven patterns, hands-on examples, and reusable templates to help you build reliable, scalable AI systems with confidence.

  3. The Art of Harness Engineering
    Building, Testing, and Governing AI Systems in Production
    Steve T. Publications

    The hardest part of building AI is not the model. It is everything around it. The Art of Harness Engineering is a practical guide to the systems, processes, and controls that turn AI prototypes into production-ready products. Covering testing, guardrails, observability, governance, and more, it provides a blueprint for building AI systems that users can trust and organizations can operate with confidence.

  4. PydanticAI: Building Production-Grade AI Agents
    From Fundamentals to Advanced Agent Workflows with Python's Type-Safe Framework
    Steve T. Publications

    Learn how to build reliable AI agents with PydanticAI, from simple chatbots to production-ready multi-agent systems. With practical examples, clear explanations, and hands-on projects, this book helps you write AI applications that are structured, testable, and easy to maintain.

  5. AI-Assisted Exploit Development
    Using Large Language Models to Accelerate Vulnerability Research, Reverse Engineering, and Offensive Security
    Steve T. Publications

    What if your next exploit development workflow had an AI-powered copilot? AI-Assisted Exploit Development explores how large language models are transforming vulnerability research, reverse engineering, and offensive security. From accelerating binary analysis in IDA Pro, Ghidra, and Binary Ninja to enhancing web application testing, fuzzing, debugging, and proof-of-concept exploit creation, this hands-on guide demonstrates how security professionals can leverage AI to work faster and more effectively. Through practical examples, real-world case studies, and offensive security exercises, readers will learn where AI excels, where human expertise remains essential, and how to safely integrate AI assistance into modern exploit development pipelines.

  6. The Hyper-Drive Algorithms ​From Raw Python Formulas to High-Performance GPU & Machine Code
    From Raw Python Formulas to High-Performance GPU & Machine Code
    Anas AhmedAdawy

    ​Stop letting standard Python choke your CPU. Discover how to bridge the gap between pure applied mathematics and bare-metal hardware acceleration. This is your ultimate engineering blueprint to transforming raw formulas into lightning-fast, production-ready GPU and machine code.Master elite, low-level optimization techniques to bypass all hardware bottlenecks and claim absolute, unmatched speeds

  7. The CISO's AI Firewall
    A CISO's Guide to Securing, Governing, and Deploying Artificial Intelligence
    Steve Sharma

    Built around the CISO's Decision Journey — a five-stage loop of Assess, Govern, Defend, Monitor, and Improve — this book across fourteen chapters moves from the AI threat landscape and the regulatory environment to threat modelling and red teaming, a layered security-controls architecture, AI incident response, the AI-assisted SOC, and a 90-day programme roadmap.

  8. The Ollama Assistant Handbook
    Build a Personal AI Assistant Locally: From Installation to Production Deployment
    Steve T. Publications

    Build a powerful AI assistant that runs entirely on your own hardware. The Ollama Assistant Handbook takes you from installation to a production-ready assistant with memory, tools, voice, vision, and automation through practical, hands-on examples you can use immediately.

  9. Vibe Engineering
    Building Production-Grade Software with AI-Assisted Development
    Steve T. Publications

    AI can generate code in seconds, but shipping production-grade software requires far more than fast prompts. Vibe Engineering shows you how to work with AI coding assistants to build systems that are reliable, secure, and maintainable. Through practical examples and proven workflows, you will learn how to turn AI from a code generator into a trusted engineering partner.

  10. Intelligent Markets
    Building AI-Driven Algorithmic Trading Systems from First Principles to Production
    Steve T. Publications

    Artificial intelligence is reshaping financial markets. Intelligent Markets shows you how to build production-ready AI trading systems from first principles, combining market fundamentals, practical architecture, and fully runnable code to create autonomous agents that can research, execute, and manage trades in live markets.

  11. Hands-On AI Agents with Google ADK
    Build, orchestrate, and deploy production-ready multi-agent systems using Python and Google Cloud
    Steve T. Publications

    Build AI agents that do real work with the Google Agent Development Kit (ADK), Python, and Google Cloud. Through complete, runnable examples, you'll learn how to build, orchestrate, and deploy production-ready multi-agent systems with practical skills you can apply from day one.

  12. Building Production-Ready AI Agents with LlamaIndex
    From First Query to Multi-Agent Systems: A Practical Guide for Python Developers
    Steve T. Publications

    Go beyond simple chatbots and build production-ready AI agents with LlamaIndex. Through practical projects and working Python code, you will learn to design reliable systems with retrieval, workflows, multi-agent architectures, observability, and deployment techniques for real-world applications.

  13. CrewAI in Action
    Building Production-Ready AI Agents and Multi-Agent Systems
    Steve T. Publications

    Discover how to build production-ready AI agents and multi-agent systems with CrewAI. Through practical examples and real-world projects, you will learn to create autonomous agents that collaborate, use tools, integrate with external data, and scale from prototype to production.

  14. Building AI Agents with the OpenAI Agents SDK
    A Complete Guide from Fundamentals to Production-Ready Systems
    Steve T. Publications

    Learn how to build intelligent, production-ready AI agents with the OpenAI Agents SDK. Through practical Python examples and step by step guidance, you'll master everything from the fundamentals to advanced multi-agent workflows, tools, and deployment.

  15. Mastering LangChain for Python Development
    Building Intelligent Applications with LLMs, Chains, and Agents
    Steve T. Publications

    Build intelligent AI applications with LangChain using practical, production-ready Python examples. From intelligent agents and retrieval-augmented generation to scalable deployment and observability, this book equips you with the skills and architectural understanding needed to create reliable, real-world LLM-powered systems.