Name: Claude Models and Agentic Systems. Technical Architecture and Production Deployment Practices for Experienced Developers (en Inglés)
SKU: 67389492
Price: 515.15 MXN
Availability: InStock
Author: Thane Arlowick
ISBN: 9798251344417

portada Claude Models and Agentic Systems. Technical Architecture and Production Deployment Practices for Experienced Developers (en Inglés)

Claude Models and Agentic Systems. Technical Architecture and Production Deployment Practices for Experienced Developers (en Inglés)

Formato

Libro Físico

Editorial

Independently published

Autor

Thane Arlowick

Año

2026

Idioma

Inglés

N° páginas

138

Encuadernación

Tapa Blanda

Dimensiones

25.4x17.8x0.7 cm

ISBN13

9798251344417

Claude Models and Agentic Systems. Technical Architecture and Production Deployment Practices for Experienced Developers (en Inglés)

Thane Arlowick (Autor) · Independently published · Tapa Blanda

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Reseña del libro "Claude Models and Agentic Systems. Technical Architecture and Production Deployment Practices for Experienced Developers (en Inglés)"

This book examines the technical foundations of Claude models from Anthropic and their application in constructing intelligent agents for production environments. It details core mechanisms including tool use, function calling, message handling, context management, and agent orchestration patterns. The content explores architectural approaches for building reliable, scalable agentic systems, drawing on established practices for error handling, memory persistence, workflow decomposition, and integration with external services.

Designed for software engineers, AI architects, and technical leads with prior experience in LLM integrations and system design, the discussion focuses on practical implementation considerations rather than introductory concepts. Readers will find in-depth coverage of Claude's API capabilities, agent harness design, and strategies to address challenges in long-running, autonomous operations.

Add this reference to your professional library to deepen your understanding of deploying robust AI-powered agents in real-world settings.