AI-Native DevOps

Companion · Tafoh Publishing

AI-Native DevOps

Build faster. Verify rigorously. Operate intelligently.

Thirteen projects that build a delivery platform you can defend: containers, pipelines, infrastructure as code, Kubernetes, GitOps, observability, security, incident response, and two bounded AI systems of your own.

This site is the companion: the repository, the route through the book, and an honest statement of what each chapter proves and what it does not.

Cover of AI-Native DevOps

Use AI to accelerate DevOps work without surrendering engineering judgment

Every chapter builds one working thing against the same reference service, then breaks it on purpose, verifies the AI-generated draft, and records what the result establishes and what it does not. Nothing in this book requires a cloud account or a paid tool.

What you need, in three tiers

The route through the book

Each chapter states which tier it needs, so you can see the cost of a chapter before you begin it rather than four chapters later.

Tier 1

Python, Bash and Git

The method, the reference service, the operations assistant and the bounded agent. No containers, no cluster.

Tier 2

Add a container runtime

Images, continuous integration, delivery and rollback, and the security pipeline. Needs a repository you control.

Tier 3

Add a disposable cluster

Kubernetes, GitOps, observability, incidents and capacity. The interlude builds this cluster for you, and tears it down once so cleanup is rehearsed.

Latest updates

From the blog

All posts

October 14, 2026 · 4 min read

Tools Without Authority: Designing a Bounded Operations Agent

If a safety boundary disappears when a model ignores a sentence, it was guidance, not a control. Here is how to put an operations agent's limits in identity, code, and tests instead.

ai agentsoperationsleast privilegekubernetes

Errata, companion releases, and new notes on verifying AI-generated DevOps work.

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