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Prompt Patterns

Timeless Design Patterns for Effective Communication with Large Language Models

Bilgin Ibryam

Prompting is a design problem, not a syntax problem. Prompt Patterns is a practical guide that introduces proven, timeless patterns for reliable interactions with large language models.

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About the Book

This book describes repeatable ways of working with large language models in production settings. It defines prompt patterns as named, reusable design moves for controlling intent, context, constraints, and output structure. The book avoids prompt "tricks" and surface-level optimization. Instead, it focuses on patterns that can be explained, combined, and evolved over time. Each pattern explains when it applies, how it works, and what trade-offs it introduces, forming a pattern language for prompt-driven interactions.

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Artificial Intelligence

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About the Author

Bilgin Ibryam

Bilgin Ibryam is driven by a long-standing passion for writing, and sharing his experience in building enterprise software in the real world. Throughout his career, he has focused on observing recurring problems, synthesising best practices, and turning hard-earned lessons into reusable patterns that help engineers think, communicate, and build better systems. This pattern-oriented mindset is reflected in his work as the author of Camel Design Patterns and co-author of Kubernetes Patterns. His approach starts from abstraction and intent first, before specific tools or platforms, and emphasizes timeless principles over transient technology trends. Bilgin spent many years as a consultant and architect at Red Hat, working closely with engineering teams to help them adopt emerging technologies and design scalable, resilient distributed systems. Today, he is a product manager at Diagrid, working on cloud native and AI developer tools, where he applies the same pattern-driven thinking to prompt design and AI-assisted software development. His current focus is on capturing Prompt Patterns as a new abstraction layer for working reliably and productively with AI systems.

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