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The Claude Code Operating Model. Build scalable AI coding systems with Skills, MCP, Hooks, agent orchestration, and SDK patterns Jia Huang

Książka w języku angielskim angielski
The Claude Code Operating Model. Build scalable AI coding systems with Skills, MCP, Hooks, agent orchestration, and SDK patterns Jia Huang - okladka książki

The Claude Code Operating Model. Build scalable AI coding systems with Skills, MCP, Hooks, agent orchestration, and SDK patterns Jia Huang - okladka książki

The Claude Code Operating Model. Build scalable AI coding systems with Skills, MCP, Hooks, agent orchestration, and SDK patterns Jia Huang - audiobook MP3

The Claude Code Operating Model. Build scalable AI coding systems with Skills, MCP, Hooks, agent orchestration, and SDK patterns Jia Huang - audiobook CD

Autor:
Jia Huang
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
340
Dostępne formaty:
     PDF
     ePub

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125,10 zł 139,00 zł (-10%)
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Claude Code is evolving from a coding assistant into a programmable platform for building intelligent development workflows. As teams adopt AI-assisted development, the challenge is no longer just generating code but building reliable systems that can be extended, governed, and integrated into daily work. This book shows how to turn Claude Code into a structured development platform.
You will learn to add persistent project context, create reusable capabilities, coordinate agents, automate routine checks, and connect Claude Code with the tools behind modern delivery. Drawing on concrete engineering examples, the book covers scalable workflows for individual projects, teams, and enterprise environments. You will discover ways to improve consistency, enforce standards, manage risks, and keep control as AI becomes part of the development lifecycle.
Through hands-on examples, you will build extensible workflows, integrate external systems, automate governance, and support continuous delivery. The book also covers security, debugging, cost management, and adoption strategies that help teams move from experimentation to production use. By the end, you will be able to design and manage Claude Code-powered environments that improve productivity while supporting quality, reliability, and maintainability.

O autorze książki

Jia Huang is a Lead Research Engineer at A*STAR (Agency for Science, Technology and Research), Singapore, where his work focuses on NLP, large language models, and applied AI engineering. With over twenty years of experience leading large-scale AI and data projects across government, finance, healthcare, and e-commerce, he brings an unusually practical lens to technically rigorous subjects. In recent years, his research has primarily focused on NLP pre-trained large models and FinTech applications.
He is the author of six bestselling technical books, including Hands-on AI Agent Development for Large Model Applications selected as one of JD Best Books of 2024 and GPT: How Large Models Are Built, named CSDN's Most Influential IT Book of 2023. His online RAG engineering course has been completed by over 10,000 students.

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