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Claude Code: Building Production Agents That Actually Scale

Thomas De Vos

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Welcome to the Leanpub Launch video for Claude Code: Building Production Agents That Actually Scale https://leanpub.com/claude-code-building-production-agents-that-actually-work by Thomas De Vos! About the Book A Best-Selling Book on LeanPub for weeks since releasing. A mandatory guide for building Claude production AI agents. This is a Claude Code production agents book for engineers who need agents that can run with tools, permissions, MCP servers, evals, observability, and cost controls in real systems. Most Claude Code tutorials stop at "hello world." This book covers what happens after that: when your agent needs to run reliably in production, at scale, in environments where failure has real consequences. Written by an AI engineer who builds Claude Code agent systems for regulated financial institutions, it walks through the full production stack. Part I covers the agent loop, context management, and model selection. Part II builds the primitive layer: tools, hooks, skills, MCP servers, and plugins. Part III bridges the CLI to the Claude Agent SDK, covering the dispatch loop, session management, and tool registration for headless deployment. Part IV tackles governance: permissions, sandboxing, secrets, audit trails, and managed settings. Part V covers evals, LLM-as-judge patterns, observability, cost engineering, and failure modes. Part VI puts it together with team workflows, deployment patterns, multi-agent orchestration, and a full walkthrough of Anthropic's open-source financial services reference agents (the production-grade agent templates Anthropic released in May 2026). Thirty-one chapters, five practical appendices (including a ninety-day production-readiness checklist, an eval starter kit, and an MCP server audit template), and code extracted from production systems. If you are a senior AI engineer, technical lead, or architect evaluating Claude Code for production use, this is the reference that will save you months of trial and error. About the Author Engineer and AI practitioner with over a decade building production AI systems for global financial institutions. Focused on the intersection of autonomous agents, regulatory compliance, and operational reliability. Currently leading AI strategy for banking, insurance, and fintech clients across multiple continents. Follow the author here! https://x.com/thomasdevos69 Thank you for watching, please like and leave a comment, we'd love to hear from you! Please Subscribe and Follow! YouTube: https://www.youtube.com/leanpub X: https://x.com/leanpub Instagram: https://www.instagram.com/leanpub Facebook: https://www.facebook.com/leanpub Create Your Own Leanpub Book! You can create your own book anytime here: https://leanpub.com/create/book Here's the tutorial showing how to write and publish a Leanpub book in your browser (it's free!): http://help.leanpub.com/en/articles/2932527-getting-started-writing-a-book-in-the-web-browser-writing-mode If you're a Leanpub author and you'd like to submit your own Launch video for us to publish, or if you'd like to record a Launch video with Len, please go here: https://leanpub.com/launch. #books #leanpublishing #selfpublishing #leanpub #writing #ai #softwareengineering