Agentic AI is redefining how intelligent systems operate—moving beyond reactive prompts to autonomous, goal-driven behaviors. As demand grows for efficient, scalable, and trustworthy AI agents, developers are turning to Rust for its unmatched performance, safety, and concurrency. With the rise of Retrieval-Augmented Generation (RAG), multi-modal pipelines, and low-latency deployments, Rust is fast becoming the backbone for next-generation AI infrastructure.
Written by systems engineer and AI practitioner Eli Morgan, this book distills years of hands-on experience building intelligent, autonomous agents in production environments. Eli brings together deep expertise in Rust and modern LLM-based architectures to teach you how to build performant, secure, and extensible AI systems that go far beyond simple chatbot interactions. Developing Agentic AI in Rust is your complete guide to building, scaling, and deploying goal-oriented AI agents using the Rust programming language. You’ll explore advanced architectures like Retrieval-Augmented Generation (RAG), build custom toolchains, integrate APIs and external tools, and apply reinforcement learning techniques—all with a focus on real-world application and reliability. From command-line utilities to cloud-native microservices, this book walks you through the entire lifecycle of an agentic AI system.
Design patterns for building modular and agentic AI systems in Rust
Practical guidance for integrating APIs, feedback loops, and memory modules
Step-by-step tutorials on profiling, benchmarking, and deploying Rust AI agents
Secure data handling, fairness, explainability, and maintenance strategies
Edge deployment for IoT, embedded systems, and resource-constrained environments
Advanced topics including reinforcement learning, streaming data, and real-time decision-making
Proven techniques to scale your AI agents in production with confidence
This book is written for software engineers, AI developers, Rust programmers, and technical leads looking to build scalable AI agents using robust, memory-safe, and performant tools. Familiarity with Rust and basic AI concepts is assumed. Whether you're aiming to deploy a production-grade autonomous agent or just exploring RAG-based workflows, this book accelerates your learning curve with concise explanations, expertly structured chapters, and fully documented code examples. It’s the fastest way to move from concept to deployed, intelligent systems. Unlock the power of intelligent, autonomous agents—build, train, and deploy agentic AI systems with confidence using Rust. Get your copy of Developing Agentic AI in Rust today and become a leader in next-generation AI development.