Building a Technical Book with Claude Code: Process and Pitfalls

A developer on r/ClaudeAI documented their process for creating a technical EPUB book about intermediate Claude Code features when they couldn't find existing resources. The complete Claude assignment file is available on GitHub for others to adapt.

The Book Creation Process

The developer followed this specific workflow:

• Asked Claude to collect all Anthropic documentation onto a local drive as reference material
• Used Claude, Gemini, and Perplexity to research real-world examples of how people use Claude Code, specifically in front-office finance (their field)
• Asked Claude Code to write the technical book using a standard non-fiction structure: each chapter opens with a recap, follows with technical features from Anthropic's docs, then real-world examples of that feature in practice, then closes with the most important points from the chapter

Key Learnings About the Process

The developer discovered important constraints when working with Claude Code:

• If you simply ask Claude Code to write a book from all the collected material, it reads everything, compacts it, and produces mediocre results described as "borderline dumb"
• If you tell it to "use agents" without constraints, it spawns one agent per chapter, hits the session limit (they were on Pro at the time), and all work from all agents is lost
• The fix: tell Claude to run no more than 2-3 agents at a time, wait for them to finish, then launch the next batch

The developer notes that the resulting book is about 1.5 months old, which in AI terms means it's "basically obsolete," comparing AI-related books to newspapers in terms of shelf life.

The GitHub repository contains the complete Claude assignment file with everything mentioned, allowing others to build their own versions without reinventing the wheel. The developer notes this same approach can be used for any book - collect materials, formulate the assignment, and let Claude do the rest.