I’m thrilled to announce that my new book, “Docs as Tests & AI: A Strategy for Self-Healing Technical Documentation,” is coming soon! It’s the follow-up to Docs as Tests, written for the new reality every documentation team is navigating: AI is in the pipeline. It generates content, consumes your docs through chatbots and RAG, and executes your procedures as agents — and every error along the way amplifies to thousands of users.
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What You’ll Learn
Docs as Tests & AI extends the original strategy to the four places AI shows up in your documentation pipeline, and shows you how to verify each one. By the end, you’ll be able to:
- Identify the four AI integration points in your doc pipeline and what each one needs from testing
- Choose between probabilistic and deterministic verification based on cost, risk, and product cadence
- Write workflow documentation — project descriptions, agent definitions, plans, skills — that AI agents can actually execute
- Build self-healing systems that detect drift, diagnose the cause, fix the docs, verify the fix, and report what happened
- Establish governance frameworks that balance agent autonomy with the right amount of human oversight
The book also includes lessons and case studies from teams at Anthropic, Avalara, Google, Kong, and Vercel — real numbers, real tradeoffs, and real workflows you can adapt.
Who It’s For
Technical writers, documentation engineers, developer advocates, and any team using AI in their documentation workflow, whether you’re generating drafts with an LLM, feeding docs into a chatbot or RAG system, or letting agents act on your procedures. The book assumes basic familiarity with documentation work but doesn’t require any prior experience with Docs as Tests.
With forewords by Scott Abel and Michael Iantosca.
Get Your Copy Today
If your docs touch AI — or AI touches your docs — this book gives you the verification layer that makes the whole pipeline trustworthy.
Ready to make your AI-powered docs trustworthy? Get your copy today!