How I Use Agents Without Losing Ownership of My Code

A developer shares a structured workflow for using AI coding agents without losing code ownership or quality. The approach uses agency-agents (a registry of specialized AI agent personalities) with defined roles like Frontend Developer, Code Reviewer, and Accessibility Auditor. Key practices include tight prompt scoping, a 7-step delivery loop from idea to execution, mandatory governance gates (lint, test, type-check before every commit), and reading every diff. The author identifies what agents handle well — boilerplate generation, consistency checks, test failure diagnosis — and what stays human-owned: API design decisions, accessibility judgment, architecture, and documentation voice.