Claude Code vs Codex: A Detailed Terminal Agent Comparison 

Coding assistants have moved past autocomplete into full brokers that may learn initiatives, run instructions, edit recordsdata, and iterate towards outcomes. Instruments like Claude Code and Codex each function on this area, however take totally different approaches. Claude Code facilities on a unified agent loop throughout environments, whereas Codex spreads capabilities throughout CLI, IDE extensions, cloud workflows, and delegated duties.

This isn’t about mannequin efficiency. It’s about workflow: management, intuitiveness, and the way simply you’ll be able to keep targeted whereas working inside an actual repository. On this article, we evaluate how every software suits into the act of getting work achieved.

Getting began with Claude Code and Codex CLI

Earlier than transferring onto the true workflows, First let’s set up each the instruments in our system. Please ensure your system has node already put in. 

Codex CLI 

Set up the Codex CLI with npm. Open your terminal and run 

npm i -g @openai/codex

Run Codex in a terminal. It may possibly examine your repository, edit recordsdata, and run instructions. 

Codex 

Sign up with an OpenAI account or API key

Claude Code 

Set up the Claude Code with npm. Open your terminal and run 

npm set up -g @anthropic-ai/claude-code 

Run in terminal by altering the listing to explicit challenge 

claude 

Sign up with an Anthropic Account

Now all set, let’s transfer to workflows.

The primary 10 minutes really feel totally different

Claude Code looks like an assisted accomplice. It needs to get a deal with on the repo, counsel a plan, then proceed with the duty with mode permission and checkpoints to maintain it protected. Codex looks like a configurable runtime. It’s nonetheless conversational, however the focus is extra on configuration, insurance policies, worktrees, evaluation, and cloud delegation. 

In case you are opening a repo for the primary time, the hands-on distinction reveals up instantly. 

With Claude Code, a pure first transfer is:

Clarify the auth movement, listing the dangerous recordsdata, and inform me the place login might be failing.

With Codex, the equal looks like: 

Clarify the auth movement, listing the dangerous recordsdata, and inform me the place login might be failing 

The identical immediate, however the expertise may be very totally different. Claude typically encourages you to plan and execute. With Codex it feels prefer it asks you to set the parameters of freedom, sandboxing and approvals earlier than leaping in. 

That distinction issues. If you happen to like being guided to productiveness, you’ll like Claude Code extra. If you happen to prefer to design a system, Codex is extra rewarding. 

The Translation Layer: How the ideas map?

A lot of the confusion of Claude Code vs Codex is because of totally different terminology. 

That is the mannequin to remember if you learn the remainder of this text. 

Repo directions: CLAUDE.md vs AGENTS.md

It is a vital a part of the article as a result of it impacts how the agent feels after the primary day. 

Claude Code hundreds CLAUDE.md initially of every session and makes use of it as context for the challenge, your Workflow, and even your organization. Anthropic’s documentation is evident that it is best to use CLAUDE.md to seize the foundations you don’t need to repeat, and use auto reminiscence for Claude’s studying.  

The Codex answer makes use of AGENTS.md, however in a extra subtle means. You could possibly have a worldwide ~/.codex/AGENTS.md, then AGENTS.md per repo, then sub AGENTS.override.md, all as a part of the config.toml construction.  

Right here’s the way it may work. 

Right here’s a helpful CLAUDE.md for a Node repo: 

A helpful AGENTS.md for a similar repo may seem like this: 

The hands-on lesson is straightforward. Don’t wait till the agent disappoints you 5 instances. Write the instruction file early. Each instruments get a lot better as soon as your requirements reside within the repo as a substitute of in your head. 

Reminiscence: What will get remembered and the way helpful it truly is?

The context window for Claude Code is wiped firstly of every session, however you’ll be able to load your CLAUDE.md and auto reminiscence. In line with Anthropic, auto reminiscence is notes that Claude writes based mostly in your corrections and preferences, equivalent to construct instructions, debugging hints and issues it has seen whereas modifying in that tree.  

Codex Reminiscences are related however they’re barely extra express. Reminiscences are disabled by default, are saved domestically (in ~/.codex), and are for mounted preferences, widespread routines, project-specific conventions, and customary gotchas. The OpenAI docs additionally advise to not retailer reminiscences of guidelines as the one place for guidelines that should all the time be adopted. These nonetheless must go in AGENTS.md or in paperwork within the repo.  

This ends in an ideal workflow. 

In case you are utilizing Claude Code, you’ll be able to have the agent be taught the tempo of the repo, then use CLAUDE.md for issues you should hold secure. 

In case you are utilizing Codex, don’t put the contract in Reminiscences. Put the contract in AGENTS.md. Put your platform guidelines in config.toml. Let reminiscences fill within the gaps. 

This makes Codex really feel extra mechanical. Claude is extra like a sensible teammate. 

Permissions and planning: That is the place the character cut up turns into apparent

Claude Code has very descriptive names for permission modes. The out there modes are at the moment default, acceptEdits, plan, auto, dontAsk, and bypassPermissions. plan is especially attention-grabbing because it permits Claude to plan and suggest modifications with out touching your supply, and auto is a analysis preview that makes use of an additional classifier to filter actions.  

Codex describes this when it comes to sandbox and approval coverage. OpenAI’s documentation calls sandbox mode the technical sandbox and approval coverage the rule for when to ask permission. Native Codex by default makes use of no networking and sandboxing beneath the OS, which is often configured by way of ~/.codex/config.toml and, optionally, project-specific .codex/config.toml.  

Right here is the hands-on model. 

If you’d like Claude Code to examine a repo and produce a proposal earlier than touching something: 

claude --permission-mode plan 

If you’d like Claude Code to maneuver sooner on protected file edits: 

claude --permission-mode acceptEdits 

If you’d like Codex configured for a tighter read-only cross first, the OpenAI docs present patterns like this: 

Open the .codex/config.toml file and add the next strains:

[profiles.readonly_quiet] 
approval_policy = "by no means" 
sandbox_mode = "read-only"

Then you need to use that type of profile for a first-pass audit and solely chill out it when you’re prepared. 

This distinction issues loads in actual groups. Claude exposes the protection mannequin as an interplay sample. Codex exposes it as a system configuration sample. 

Let’s say your checkout take a look at is failing and also you need the agent to research, repair, confirm, and clarify the change. 

A superb Claude Code workflow appears to be like like this: 

Discover why the checkout is failing. Begin in plan mode, establish the smallest protected repair, implement it, run the related checks, and summarize the change in plain English. 

A superb Codex workflow appears to be like like this: 

Examine the checkout failure, hold scope minimal, clarify root trigger first, then patch solely the recordsdata required, run the smallest related take a look at set, and present me the diff I ought to evaluation. 

Discover the distinction. With Claude Code, you naturally lean into movement. With Codex, you naturally lean into express scope and evaluation language. 

Each instruments can do the loop, however they encourage barely totally different kinds of prompting. 

Undo, restoration, and reviewing modifications

Claude Code’s undo/rewind is a strong function. Anthropic claims that each user-prompted change makes a checkpoint, the checkpoints are persistent, and /rewind can restore code, dialog, or each. So you’ll be able to “experiment” extra with out worrying about errors.  

A “actual” use case appears to be like like this: 

/rewind 

Then you definitely select whether or not to simply rewind the code, simply the chat, each, or begin summarising from a selected level and proceed. 

And Codex addresses security in one other means. The evaluation pane shows the modifications within the repo, lets you add inline feedback and to stage, hold or revert strains. The app additionally makes use of worktrees so many issues can occur when you work in your checkout. 

So the sensible cut up is that this: 

Claude says, “Strive the dangerous factor. You possibly can rewind.” 

Codex says, “Let the work occur in isolation. Then examine it fastidiously.” 

Each are good. They simply change how daring you’re feeling whereas iterating. 

Abilities, hooks, and reusable workflows

That is the part the place superior customers begin constructing actual leverage. 

Claude Code expertise use SKILL.md, and Anthropic claims Claude can routinely invoke expertise as wanted, or you’ll be able to explicitly use slash instructions (e.g. /review-pr or /deploy-staging). Claude additionally has hooks for operating shell instructions earlier than or after Claude Code actions, equivalent to formatting, linting or customized validation.  

OpenAI’s docs for Codex deal with progressive disclosure. Codex hundreds ability metadata and solely hundreds the total SKILL.md when it makes use of the ability. Codex additionally makes use of a built-in $skill-creator, and has hooks as an experimental extensibility framework (function flag is in place). 

Here’s a concrete hands-on sample you need to use in both software. 

Create a reusable code-review ability that claims: 

--- 
identify: backend-review 
description: Evaluation backend modifications for auth bugs, migration danger, logging gaps, and take a look at protection regressions. 
---

When invoked: 

1. Examine modified recordsdata first 
2. Prioritize auth, knowledge integrity, and silent failure modes 
3. Recommend the smallest fixes 
4. Finish with a brief danger abstract 

In Claude Code, that turns into one thing you’ll be able to naturally name from the dialog. In Codex, that turns into a cleaner reusable unit in a extra explicitly managed system. 

Which one must you select?

Primarily based of the comparability and the options the 2 provide, right here’s a comparability desk to summarise all of it:

Conclusion

Claude Code wins on simplicity and “movement.” The /rewind function is a top-tier security internet. The auto-memory system makes it really feel good over time. Select Claude Code if you would like aPair Programmer that simply works. It’s glorious for fast prototyping and refactoring. 

Codex wins on precision and configurability. The worktree mannequin is ideal for advanced automation. The policy-based permissions go well with enterprise safety wants. Select Codex if you wish to construct a customized platform. It’s a sturdy alternative for systematized improvement. 

These instruments aren’t simply opponents. They signify totally different futures for AI coding. One is a guided agent. The opposite is a programmable runtime. They’re catered to totally different customers and each help in bettering your workflows.

Steadily Requested Questions