Codex Architecture
How an AI coding agent like Codex plans, writes and tests code inside a secure sandbox.
Free to start · Fully editable · Export to SVG, PNG, GIF & MP4
What's in this template
6 connected components you can rename, recolor, and extend with AI.
This diagram maps how a Codex-style AI coding agent works. A model from OpenAI drives an agent loop that plans a task, writes code, and runs it. The agent operates inside an isolated sandbox — typically a Docker container with a Python (and other) runtime — so it can execute and test changes safely. It pulls context from your GitHub repository, opens pull requests with its results, and surfaces work in your editor and shell.
Use it to explain how autonomous coding agents work, to design guardrails and sandboxing for an internal agent, or to compare agentic coding approaches. Everything is editable so you can match it to your own pipeline.
Great for
- Explaining autonomous coding agents
- Designing sandbox and guardrail strategy
- Comparing agentic coding tools
- Engineering team onboarding
- AI safety and review discussions
Frequently asked questions
What is Codex?+
Codex refers to OpenAI’s code-generation models and the agents built on them. A Codex-style agent can plan a software task, write the code, run it and iterate — operating more autonomously than a chat assistant.
Why does a coding agent need a sandbox?+
Running AI-generated code is risky, so agents execute inside an isolated sandbox — usually a Docker container with the needed runtimes. The sandbox lets the agent test and verify changes without touching your real machine.
How does the agent use my repository?+
It reads your GitHub repo for context, makes changes on a branch, runs tests in the sandbox, and opens a pull request with the result for you to review.
Can I edit this Codex diagram?+
Yes. Rename nodes, add your own runtimes and guardrails, restyle it, and export to PNG, SVG, GIF or MP4.
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Open the codex architecture in the Infogiph canvas, then edit, animate, and export.
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