About the Book
Claude for Developers: Designing Subagent Systems with Modular AI, Functions, and Tools
Unlock the full potential of Claude and modern LLMs to design, build, and operate production-grade subagent systems. This practical, hands-on guide teaches experienced developers, AI engineers, and technical teams how to decompose complex tasks into specialist subagents, connect them to tools and APIs, and orchestrate reliable, auditable workflows that scale.
What you will learn
The foundations of modular AI and subagent architectures, including when to use pipelines, graphs, supervisors, and networked agents.
How to design and implement subagents with Claude and OpenAI, using function calling, tool integrations, and clear function contracts to avoid hallucination and enforce determinism.
Practical, production-ready patterns with LangChain, LangGraph, and Python toolchains for routing, memory management, RAG, and context compression.
Techniques for integrating external systems (databases, search, CI/CD, ticketing), multimodal inputs (vision, audio), and vector databases for long-term memory.
Security, privacy, and ethical controls: least-privilege permissions, sandboxing, prompt sanitization, and audit logging.
Testing, observability, scaling, and reliability: unit and integration testing, LangSmith tracing, batching LLM calls, caching, retries, and durable checkpoints.
Real-world case studies and end-to-end projects: automated code review, analytics pipelines, research assistants, customer support bots, and more.
Why this book
Written for technically proficient readers, this book blends rigorous theory with complete, runnable Python examples and step-by-step architectural guidance. It favors clarity over fluff and gives you templates, checklists, and patterns you can apply immediately to accelerate development and reduce operational risk.
Who this book is for
Developers, ML engineers, data scientists, and architects building agentic systems, tool-augmented LLM integrations, or enterprise AI workflows who want a practical, implementation-focused resource for Claude, OpenAI, LangChain, and modern agent architectures.
Includes
Full working code examples, deployment strategies, security checklists, testing suites, and reference appendices to help you go from prototype to production with confidence.
