Agentic AI for Developers: Build Autonomous AI Workflows for Coding, Problem Solving, and Software Development (The AI-Powered Developer Series: ... for Modern Software Development, Band 2) - Softcover

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Learn how to design AI systems that do more than answer prompts.
Agentic AI for Developers provides a practical introduction to building autonomous and semi-autonomous AI workflows for software development, coding, testing, debugging, planning, and technical problem solving. You will explore how agents interpret goals, plan tasks, use tools, evaluate results, recover from failures, and coordinate multi-step processes.
The book focuses on the engineering principles needed to create useful agentic systems rather than simple demonstrations. Topics include task decomposition, state management, context, memory, tool access, validation, multi-agent coordination, failure handling, and human oversight.

Designed for developers and technically minded builders, this guide helps you understand how to move from traditional prompt-response interactions to AI systems capable of executing structured workflows while remaining observable and controllable.

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