Why should the Claude Code be replaced by the Codex?

Some people started using Claude Code as their primary programming assistant, and it met many requirements. It runs locally, reads files directly, and integrates with your Git setup. It also supports large context windows and even experimental features like agent-based workflows for large refactoring projects. But it also uses a lot of tokens. In one test, it consumed four times as many tokens as Codex for a similar frontend task. With a $20/month plan, that number adds up quickly. You can reach the limit much faster than expected, especially if you work continuously. So, many people decided to abandon it entirely in favor of Codex, and don't regret that decision.

Claude Code is good, but it has problems.

Claude Code remains a powerful tool, especially for complex tasks requiring full context. Its interactive, developer-involved approach can uncover errors in complex refactoring projects. Because it runs on your computer, it can utilize any local tools or custom hooks you've set up, and by default, it never sends your code to the cloud. You can even write a CLAUDE.md file with project-specific instructions, and Claude Code will read it every time.

But these features come with a price. One problem is token usage. Claude Code's output is highly detailed, which means it consumes a lot of tokens. For example, in a Figma styling task, Claude consumed 6.2 million tokens compared to Codex's 1.5 million for the same result.

Another challenge is the interactive workflow. Claude Code shows you each planned change and waits for your approval before proceeding. This gives you control but means you can't let it perform a task on its own without proofreading. For quick bug fixes or writing simple functions, this can feel cumbersome. In fact, you have to say "No, continue" a lot, which disrupts the workflow. Finally, Claude Code's Pro plan has a fixed usage limit. With heavy use, the $20 plan often expires, forcing users to switch to the more expensive Max plan.

The Codex turned out to be better than we thought.

The latest version of the Codex has addressed many of the weaknesses we saw in Claude Code. Firstly, it has proven to be very capable of automating programming tasks. You describe the goal in English, and the Codex will plan and execute it automatically. In tests, the Codex handled tasks such as generating sample code, refactoring functions, and even complete features well.

It also has a larger context window than you might think – it pulls your entire repository when working, and uses a difference-based context strategy to be able to continue long work sessions without losing track. The Codex output is generally excellent. It often produces concise, well-functioning code rather than lengthy comments.

Claude often tries to match the original structure with lots of comments, while the Codex 'just settles' with minimal text. For example, when you ask the Codex to write unit tests or bug fixes, it will provide quick patches. It can even automatically generate pull requests via GitHub integration. This has completely changed how people view code and work with CI/CD – being able to tag @Codex and get automated reviews or bug fixes without having to write any pipelines themselves.

You can also use the Codex CLI, an open-source and easy-to-install tool. Simply run:

npm install -g @openai/codex codex "refactor this module to use async/await"

The CLI has modes like 'suggested' and 'fully automatic', so you can choose the level of autonomy you want. Additionally, a nice touch is that the Codex reads the AGENTS.md file if you have one, which is an open standard, so any existing project instructions will be carried over. Finally, while Claude Code has limited official tools, the Codex now has an official VS Code extension and a macOS application (Windows support coming soon). This means you can use the Codex in the cloud or on your computer flexibly, giving you the flexibility that Claude Code doesn't offer.