[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzgwMTg","title","Claude Code: Building Production Agents That Actually Scale","state","published","contactAuthorMethod","email","aboutText","

Claude Code is Anthropic's framework for building AI agents that use tools, delegate to subagents, and run autonomously. Most tutorials stop at \"hello world.\" This book covers what happens after that: when your Claude Code agent needs to run reliably in production, at scale, in environments where failure has real consequences.

Written by an engineer who builds Claude Code agent systems for regulated financial institutions, it walks through the full stack: the agent loop, context management, tools, hooks, MCP servers, the permissions model, sandboxing, secrets handling, evals, LLM-as-judge, observability, cost engineering, and team workflows. Thirty chapters, five practical appendices, and code extracted from production systems.

If you are a senior engineer, technical lead, or architect evaluating Claude Code for production use, this is the reference that will save you months of trial and error.

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