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TOPIC GUIDE

Coding agents & editors

Explore Codex, Claude Code, Cursor, GitHub Copilot and Gemini CLI by development workflow.

products
9
things to compare
3
updated
2026-09-28

Start with where you work: a terminal, an editor or a repository review flow. These products can help implement changes, but the useful comparison is how well each handles your codebase and verification steps.

What to compare

  1. Use the same small repository task to evaluate each tool.
  2. Inspect the resulting diff and run your existing checks.
  3. Compare workflow fit, permissions and usage limits before expanding adoption.

This is a focused selection, not an exhaustive ranking. See each profile for evidence and review scope.

Projects to explore

Codex

OpenAI’s coding agent for understanding repositories, implementing changes, running checks, and reviewing code.

Read the project profile

Claude Code

Anthropic’s coding agent for reading codebases, changing files, and running development tools from the terminal and other interfaces.

Read the project profile

Cursor

An AI editor and coding agent for exploring code, planning features, fixing bugs, and reviewing changes.

Read the project profile

GitHub Copilot

GitHub’s AI development assistant for code suggestions, codebase questions, reviews, and delegated coding tasks.

Read the project profile

Gemini CLI

A terminal agent that brings Gemini models to code exploration, local tools, and automated development workflows.

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Junie

JetBrains' AI coding agent for its IDEs and the terminal, working with the model you choose.

Read the project profile

Qodo

An AI code review platform that uses codebase context to review pull requests, with workflows in the IDE, in pull requests and for security.

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Greptile

AI code review that understands your entire codebase and comments on pull requests to catch bugs.

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Open Interpreter

An open-source coding agent built for low-cost and open-weight models.

Read the project profile

Go a little deeper

How to evaluate an AI tool before adding it to your stack

A practical checklist for comparing AI tools by task, evidence, failure behavior and maintenance cost.

Read the guide

Open-source AI tools and their licenses: MIT, Apache 2.0, AGPL and source-available

What the licenses behind popular open-source AI tools allow, with examples from our catalog. Not legal advice.

Read the guide