Keywords AI

Devin vs OpenAI Codex

Compare Devin and OpenAI Codex side by side. Both are tools in the Coding Agents category.

Quick Comparison

	Devin	OpenAI Codex
Category	Coding Agents	Coding Agents
Pricing	Enterprise	—
Best For	Engineering teams who want a fully autonomous AI software engineer	—
Website	devin.ai	openai.com
Key Features	Fully autonomous software engineer Plans, codes, tests, and deploys Slack and IDE integration Parallel task execution Full development environment access	—
Use Cases	End-to-end feature development Bug fixing with full autonomy Repository-wide migrations Automated testing and QA DevOps and infrastructure tasks	—

When to Choose Devin vs OpenAI Codex

Choose Devin if you need

End-to-end feature development
Bug fixing with full autonomy
Repository-wide migrations

Pricing: Enterprise

How to Choose a Coding Agents Tool

Key criteria to evaluate when comparing Coding Agents solutions:

IDE integrationWhich editors and IDEs are supported — VS Code, JetBrains, Neovim, etc.

Autonomy levelAutocomplete vs chat-assisted vs fully autonomous code generation and execution.

Codebase awarenessHow well the tool understands your full project context, not just the current file.

Language supportQuality of suggestions across your primary programming languages.

Privacy and securityWhether code leaves your machine, data retention policies, and enterprise controls.

About Devin

Devin by Cognition is the first fully autonomous AI software engineer. It can plan, write code, debug, deploy, and handle entire development tasks from start to finish using its own code editor, terminal, and browser. Devin works alongside human engineers on real-world codebases, handling tasks like bug fixes, feature implementations, and codebase migrations with minimal human intervention.

View Devin profile →Visit website

About OpenAI Codex

OpenAI Codex is a cloud-based autonomous coding agent that runs in a sandboxed environment. It can read codebases, write and edit code across multiple files, run tests, and submit pull requests—all from a natural language task description. Codex operates asynchronously, handling tasks in parallel while developers focus on other work. Built on OpenAI's reasoning models, it excels at feature implementation, bug fixes, and refactoring on real-world repositories.

View OpenAI Codex profile →Visit website

What is Coding Agents?

AI-powered developer tools that can write, review, debug, and refactor code—ranging from IDE copilots to fully autonomous software engineering agents.

Browse all Coding Agents tools →

Frequently Asked Questions

What is a coding agent?▾

A coding agent is an AI tool that helps write, debug, review, and refactor code. They range from autocomplete tools to fully autonomous agents that can implement entire features, run tests, and submit pull requests.

Will coding agents replace developers?▾

No, but they significantly increase developer productivity. Coding agents handle routine implementation and debugging, freeing developers to focus on architecture, design decisions, and complex problem-solving.

How do I choose between GitHub Copilot, Cursor, and Claude Code?▾

GitHub Copilot is best for inline autocomplete and broad IDE support. Cursor provides the deepest codebase-aware chat experience. Claude Code excels at autonomous multi-file tasks from the terminal. Many developers use multiple tools.