Intermediate Tutorial: How To Build Reliable Workflows With OpenAI Codex
Five systems separate reliable Codex workflows from fragile ones: AGENTS.md for project rules, skills for reusable processes, worktrees for parallel execution, plan mode for architecture, and verification gates for quality. Working code and patterns from OpenAI's own team.
Most developers hit the same wall with Codex. The first week feels electric. You prompt, it codes, things work. Then the codebase grows. Fixes start landing in the wrong layer. Architecture quietly degrades. The tool that felt like a superpower starts feeling like a liability.
The gap between casual Codex use and productive Codex use comes down to five systems: AGENTS.md, skills, worktrees, plan mode, and verification gates. None of them are complicated. All of them change the quality of what Codex produces.
This tutorial assumes you already have Codex installed and have run a few sessions. You know the basic commands. What you need now is structure. The kind that turns a chatbot into something closer to a reliable engineering teammate.
Prerequisites: Codex CLI or the Codex app, an OpenAI Plus/Pro/Team subscription, a Git repo you actively work in, and terminal comfort.
Senior broadcast journalist and former ARD correspondent for Europe's largest public broadcaster. Covering the tech industry from San Francisco for 10+ years. Founded implicator.ai for independent, rigorous AI reporting.
E-mail: [email protected]
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