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How to Use Claude Code and Codex
1. Introduction
- I use Claude Code (Anthropic) and Codex (OpenAI).[1][2]
- Both tools let AI write or fix code, but each works best at different steps, so I use them for different parts.
- Here is how I use them now.Things change fast, so think of this as my current best method.
2. Overall steps
- Check requirements & give short instructions: Codex (high quality from short prompts).[2:1]
- Build features & edit many files: Claude Code (fast at making changes).[1:1][3]
-
Review & focus: Codex
/review(can review a PR and also uncommitted Git changes with a command).[4]
- I use MCP/Serena to load related files into the context.
3. Basics
3.1 What is Claude Code?
- An AI coding agent from Anthropic.[1:2]
- Good practice is to edit several files together and work with your local tools.[3:1]
- It can read and edit your repo and run it locally, so it helps speed up the build phase.
3.2 What is Codex?
- A CLI agent from OpenAI that reads your local folder and can edit and run code.[2:2]
- It uses GPT-5-Codex, so you can do reviews and refactoring with very short instructions.[5]
- In short, it is designed to work well with minimal prompts.
4. Why I use them this way
- Requirements & checks → Codex: It reads local context and helps work out details from short instructions.[2:3]
- Implementation → Claude Code: When changing many files, the structure is easier to see, and the speed feels high.[1:3][3:2]
-
Review → Codex
/review: It matches your goal with the Git changes and shows the key issues first, so you read less AI-made code at the start.[4:1]
5. Tips for running /review locally
- In a talk from the Codex team, they show running
/reviewon local changes before a PR.[6] - Codex reads the changed files, runs and tests if needed, and reports the most important points first.[4:2]
- This step helps clean up long AI-made changes before people read them.
6. My impressions (not official)
- In my experience, Codex sometimes avoids creating too many new files compared to Claude Code during refactoring.
- So I often choose Codex for refactoring.
Discussion