A technical guide for Developer Relations professionals on creating high-quality technical books using AI-assisted authoring with Claude Code.

https://cloudstreet-dev.github.io/Writing-Books-with-Claude-Code/

This book documents a complete methodology for creating technical documentation using Claude Code as a collaborative authoring tool. The approach is not about generating content and publishing it unchanged—it's about establishing a structured dialogue between human expertise and AI capability.

The central thesis: the quality of AI-assisted writing is determined by the quality of your feedback, not the quality of your initial prompt.

The book emphasizes iterative refinement through targeted questioning:

• "Is this comprehensive enough?"
• "What else should be covered?"
• "Give me more detail on X"
• "What would a reader struggle with here?"

This pushback process is what transforms generic AI output into excellent technical documentation.

1. Introduction — Why use AI for technical documentation
2. Setup and Configuration — Claude Code and mdBook setup
3. Project Structure — Organizing a book project
4. Writing Strategy — Prompting for technical content
5. The Art of Pushback — Iterative refinement through questioning
6. Chapter Development — Creating individual chapters
7. Code Examples — Including and formatting code
8. Quality Control — Ensuring comprehensiveness
9. Publishing — Building and deploying mdBooks
10. Best Practices — What works well
11. Troubleshooting — Common issues and solutions

Requires mdBook:

cargo install mdbook

Build and serve:

mdbook serve --open

Written by Claude Code.

This work is licensed under CC BY-SA 4.0.