TL;DR
A companion guide to the OpenAI Codex video: a tour of the Codex desktop app, its plan and goal modes, plugins, multi-agent workflows, and UI annotation. Here is what the video shows and where to go deeper.
| Resource | Description |
|---|---|
| Watch: OpenAI Codex in 7 Minutes | The full walkthrough on the DevDigest channel |
| OpenAI Codex | Official product page for Codex |
OpenAI Codex in 7 Minutes showcases OpenAI's Codex desktop app. The video walks through plan and goal modes, plugins, multi-agent workflows, and a UI annotation demo, presenting the desktop app as OpenAI's strongest coding product to date.
This post is a companion to the video above. Watch the seven-minute tour for the live demos, then use the links here to place each feature in context.
Codex is moving from a single prompt-and-respond loop to a desktop app with modes, plugins, and multiple agents. The pitch is less "chat with a model" and more "run a coding environment where the agent has structure to work inside."
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A few things stand out from the tour:
The desktop app is one part of a fast-moving product. For the fundamentals, the OpenAI Codex guide covers the basics, and Codex Record & Replay shows another recent feature that turns recorded tasks into reusable skills. If you want recurring work handled automatically, Codex automations for recurring engineering work is the next stop. Weighing tools? Codex vs Claude Code (June 2026) compares them directly.
The workflow the video demonstrates is to open the desktop app, pick plan or goal mode for a real task, and let the agent work while you review. Start small so you can see how the modes and plugins behave before handing over anything large.
Watch the full OpenAI Codex in 7 Minutes tour above, then try plan mode on a task of your own and see how the desktop app changes your loop.
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