دانلود کتاب ساخت سیستم‌های چندعاملی پیچیده با استفاده از الگودهی به پرامپت (Pattern Prompting)

We are living through one of the most significant technological shifts in the history of software engineering. GenAI has arrived with the force of a tidal wave, and like every major wave before it—the internet, cloud computing, and mobile—it brings both genuine opportunity and considerable hype. By 2025, the headlines were difficult to ignore: “95% of generative AI pilots at companies have already failed.” Much of this failure stems from a large knowledge gap between engineers who know how to build production quality software and specialists in AI and agentic AI. This book closes that gap from the engineering perspective by providing a concise survey of what engineers and architects need to begin building GenAI applications. By focusing on fundamentals, relating concepts to established engineering practices, and productively avoiding unnecessary terminology, it helps readers quickly become familiar with GenAI technologies and best practices. With engineers in mind, the book introduces a new methodology for working with coding agents called Pattern-Guided Coding (PGC). PGC reduces errors by communicating through well-known software patterns, especially those from the Gang of Four and Enterprise Integration Patterns books. Patterns provide precise engineering language designed to reduce miscommunication within software teams. Because coding agents are trained on these smaller, highly precise, and internally consistent datasets, rather than billions of arbitrary lines of code, hallucinations become far rarer and easier to detect.