Insights

Working Knowledge

Practical takes on infrastructure automation and applied AI. The fundamentals are free — the complexity is where we come in.

From the newsletter

Ryan writes about this work as he does it. These are the ones relevant to infrastructure and engineering teams — they open on Substack.

The Path Into AI From the Infrastructure Side

A network engineer messaged me this week.

POSTMORTUM: Token Black Holes

A junior dev's postmortem, from a 30 round PR review.

What Does an Observability Platform Actually Help You Do?

What building Milhouse is teaching me about signals, context, and learning whether a change really helped.

Introducing Milhouse: Observability For The Way I Actually Build Software Now

What would it look like if my development workflow, production systems, AI coding agents, deploys, bugs, alerts, and weekly operating feedback all lived inside one observability loop?

Distributed Filesystems in Agentic Work

and the Signs You Need One

Why Your AI Stack Needs a Model Router

The Case for Infrastructure Thinking

How We Skipped the Dashboard: A Case Study in Agent-Native Commerce

By Ryan Booth | April 24, 2026

How the Hotdog Is Made: MCP vs. Smart API from the code

Last post was for the room where decisions get made and plans get drawn.

Customers Don’t Want MCP. They Want Your API to Think.

Breaking down the hype of MCPs and why properly designed APIs are still the right approach.

Building an AI-Discoverable Portfolio with the A2A Protocol

A hands-on introduction building your A2A-enabled personal portfolio.

When the Agents Went Off the Rails (And What I Learned)

What happens when overconfidence meets orchestration and how to prevent it.

Bring a Spec, Not a Vibe

PRD fundamentals for agentic teams (spec‑first, test‑gated, read‑only by default).

Vibes don't ship.

Spec‑first, TDD workflows for skeptical engineers.

Welcome to Reliable AI Workflows

Where PRDs, tests, and tools learn to play nice.