Tool Comparison Overview

Cursor, Claude Code and Codex are coding agents that run the same loop: read the codebase, plan a multi-file change, edit files, run the project’s checks and retry until they pass. Cursor runs the loop in an editor, Claude Code in the terminal, and Codex across a desktop app, CLI, IDE and cloud.

This page is for the developer choosing a tool, the tech lead standardising a team on one, and the CTO signing the order. A teammate asks which one to buy, and the honest answer is “it depends on where you already work and what you want to run without you”. Below you get that answer as one table, a one-task bake-off that settles it with evidence, and links to every detailed comparison.

Which coding agent fits which developer?

If you…	Start with	Because
Think best in a visual editor and want to accept or reject each diff	Cursor	The agent, Plan Mode and inline diffs live in one VS Code-based window
Live in the terminal, or need hooks, subagents and headless runs in CI	Claude Code	`claude -p` scripts the loop, and hooks enforce the rules a prompt can only request
Want one agent across a desktop app, CLI, IDE and cloud tasks	Codex	`codex exec` scripts it, `codex --worktree` isolates it, and `@codex review` reviews pull requests
Lead a team	The tool most of the team already uses, plus one review agent	Shared instructions and review by evidence matter more than the brand

You can also pair two: an editor agent for interactive work and a CLI agent for unattended runs. For the agents outside these three (GitHub Copilot, Gemini CLI, Kiro, OpenCode and others), see the coding-agent landscape beyond the big three.

How does each tool run the agent loop?

You describe the task in the agent panel, or use Plan Mode to get a plan before any code is written. Edits arrive as diffs you accept or reject. Worktrees isolate a run in its own checkout, and Cloud Agents and Automations move longer or scheduled runs off your machine. Project instructions are Cursor Rules. See the Cursor guide.

You run claude in the repository. It reads CLAUDE.md, explores, plans (--permission-mode plan keeps that step read-only), edits within its permission mode and runs the tests. claude -w starts the session in a new git worktree, and claude -p runs the same loop headless in CI. It reads AGENTS.md when a project has no CLAUDE.md from v2.1.277 (the latest channel on 2026-09-26). See the Claude Code guide.

You start a task in the desktop app, the CLI, the IDE extension or Codex cloud, guided by AGENTS.md. codex --worktree runs the session in a new managed git worktree. The agent works inside its sandbox and approval policy, and codex exec runs the same loop non-interactively in scripts and CI, and codex review runs a code review there. See the Codex guide.

How do you choose with evidence instead of opinion?

A feature table cannot tell you which agent handles your codebase. A bake-off can: give every finalist the same real task, with a test that proves it, and compare what each run hands back.

Pick a task from your backlog that touches three to five files and already has a test pattern to copy.
Run the prompt below in each tool, in a fresh session, on a clean branch or worktree.
Judge each run on evidence, not on reading the diff: does CI pass on the branch, did the agent report the commands it ran, did it add tests for every case you listed, and how many follow-up prompts did it need?
The tech lead signs off on the winner, and the team commits that tool’s instruction file (CLAUDE.md, AGENTS.md or Cursor Rules) to the repository before rolling it out.

Add cursor-based pagination to the GET /api/posts endpoint.
Use the Post model's createdAt field as the cursor and return nextCursor in the response.
Default page size 20, maximum 100.
Follow the pattern in the /api/users endpoint, which already paginates.
Add tests for the first page, a middle page, the last page and an invalid cursor.
Run the tests and fix any failures before you stop.
Finish with a list of changed files, the exact commands you ran, and their results.

Cursor shows each edit as a diff in the open files, Claude Code prints the changed files and the test run in the terminal, and Codex in a worktree hands back a reviewable diff while your working copy stays untouched. For the scorecard, runner commands and decision rule, see how to run a coding-agent bake-off.

Where do all three agents fail in the same way?

The failure modes are shared, and so are the recoveries:

No project instructions. The agent invents its own conventions. Write CLAUDE.md, AGENTS.md or Cursor Rules before the bake-off, or you compare defaults, not tools.
A goal with nothing to verify. “Make it better” gives the agent no finish line. State the acceptance criteria and the command that proves them.
A long, drifting session. Early instructions lose weight as context fills. Start a fresh session per task: /clear in Claude Code, a new agent chat in Cursor, a new thread in Codex.
Stale library knowledge. Models have training cutoffs. Connect a documentation MCP server or let the agent search the web.

Start fresh. Here is exactly what I need.
GOAL: add rate limiting to POST /api/login.
CURRENT STATE: no rate limiting; the auth routes live in src/routes/auth.ts.
CONSTRAINTS: 5 attempts per minute per IP, respond 429 with Retry-After, use the existing Redis client.
PROOF: a test that makes six requests and expects the sixth to fail.
Read the relevant files first, then propose a plan and wait for my approval before editing.

Plan prices change every few weeks, so they live in one place, the pricing analysis; models and model prices live on the models hub. Why checks rather than line-by-line reading are the review standard is the subject of the autonomy ladder.

Where to go next with tool comparisons

Cursor vs Claude Code IDE-first against CLI-first, task by task

Codex vs Cursor and Claude Code Where the multi-surface approach wins and where it costs you

Feature matrix The detailed capability table

Pricing analysis Current plan prices and monthly cost by profile

GitHub Copilot as a coding agent Cloud agent, app, CLI and billing

Migration guide A decision framework for switching tools

Choose a primary harness The scorecard check for your main tool

Agent tools Shells, multiplexers and sandboxes you run these agents inside

To send someone a side-by-side table and verdict that needs no account, use the free Compare AI coding tools page.

Frequently asked questions

What is the difference between Cursor, Claude Code and Codex?

All three run the same agent loop: read the code, plan, edit, run the checks and retry. Cursor runs it in a VS Code-based editor, Claude Code starts in the terminal, and Codex spreads it across a desktop app, a CLI, IDE extensions and the cloud.

Which AI coding agent should my team choose?

Choose by where your developers already work and what you want to run without a human watching, then give the finalists the same real task with a test that proves it and compare the evidence each run produces.

Where are the current plan prices for these tools?

Plan prices change often, so they live on one page, the pricing analysis. Model prices live on the models hub.