Millwright-Inspector: A Methodology for Software Development with AI Coding Agents
The Millwright-Inspector methodology introduces a structured approach to software development using AI coding agents. In this model, an AI agent generates artifacts while a human inspector reviews and approves them before moving to the next step. This process aims to enhance productivity without replacing traditional software development stages.
- ▪The methodology defines two roles: the Millwright, which is the AI agent, and the Inspector, the human reviewer.
- ▪Each artifact produced is a Markdown file that serves as both a review document and input for the next step.
- ▪The workflow advances only when the Inspector approves the artifacts, ensuring quality control.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3293810) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Emin Akkoç Posted on May 27 Millwright-Inspector: A Methodology for Software Development with AI Coding Agents #ai #agenticai #softwareengineering #productivity TL;DR. Two roles. An AI agent (the millwright) drafts every artifact in the workflow. A human (the inspector) reviews each one. Each artifact is a Markdown file that doubles as the next step's input. The workflow only moves forward when the inspector approves. The pattern is called the Context Artifact Relay.
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