Vibe Expert Bundle

This book teaches you how to build reliable, maintainable, production-grade software using AI coding assistants. You will learn context engineering, spec-driven development, agentic workflows, security practices, testing strategies, and CI/CD integration. Every chapter includes working code examples, configuration files, and step-by-step walkthroughs you can apply immediately. Whether you are a seasoned engineer looking to level up your AI workflow or a motivated beginner wanting to understand the modern development landscape, this book gives you the practical skills to ship quality software at AI velocity.

Most companies use less than one percent of what their AI models can actually do. The gap between mediocre and transformative AI use in business is not the model itself. It is the prompt. This book provides 100 battle-tested, production-grade Claude prompts that solve expensive business problems across every major function: strategy, sales, marketing, customer success, operations, finance, HR, legal, product, engineering, data, automation, consulting, and entrepreneurship. Each prompt comes with the full context you need to deploy it immediately. You will find the business objective, required inputs, expected outputs, customization options, advanced variations, common mistakes to avoid, measurable ROI benchmarks, and follow-up prompts for iterative refinement. If you want AI that generates real business value instead of interesting conversation, this is your playbook.

The intersection of artificial intelligence and financial markets is the defining technological frontier of modern trading. This book bridges the enormous gap between academic research and production systems, taking you from foundational concepts in market microstructure through to deploying autonomous AI agents that research, plan, and execute trades in live markets. Every concept is explained before implementation; every code example is production-oriented, fully runnable, and thoroughly annotated. By the end of this book, you will have built a complete AI-driven trading system from data acquisition through live execution, with professional-grade architecture, risk management, monitoring, and continuous improvement baked in throughout.

This book is a comprehensive guide to harness engineering: the discipline of designing the scaffolding that wraps around AI models to make them reliable, observable, and governable in production. Whether you are building an internal AI copilot, a customer-facing chatbot, or an autonomous agent system, the model alone will not deliver. The surrounding infrastructure: context management, guardrails, testing, monitoring, and governance: determines whether your AI system succeeds or fails. This book covers the principles, architectures, tools, and practices that constitute the emerging discipline of harness engineering, with real-world case studies from companies like OpenAI, LangChain, Stripe, and major financial institutions. Written for software engineers, AI practitioners, technical leaders, and advanced students.

Vibe coding has taken the software industry by storm since Andrej Karpathy coined the term in February 2025. What started as a provocative idea has become a $4.7 billion market, reshaping how startups build products and how enterprises approach software delivery. But can vibe coding be trusted to deliver production-grade systems? This book answers that question with evidence, not hype.

Drawing on the latest research from METR, CodeRabbit, Veracode, GitClear, and others, this book presents a comprehensive framework for building serious SaaS products using AI-assisted development workflows. It covers everything from idea validation through architecture, backend and frontend engineering, security, testing, DevOps, team governance, and business growth. Every chapter combines real-world case studies with practical frameworks, checklists, and reusable prompts that you can apply immediately.