# Best AI coding assistants compared by how they work

Source: https://listme.name/blog/best-ai-coding-assistants-compared
Published: 2026-10-10


AI coding assistants differ most in where they run. Some are editors with AI built in, such as Cursor and Zed, or extensions such as GitHub Copilot in VS Code. Others are terminal agents that read a project, edit files and run commands from a shell, such as Claude Code, Aider and OpenAI Codex. Cline sits between the two as an open-source agent that works in a desktop app, an IDE or the terminal. Choose by where you already work, then by pricing and by how much of the tool you can inspect.

The [best AI coding assistants ranking](/best/ai-coding-assistants) scores these products against each other. Its scores are editorial judgments against the criteria, not measurements of code quality, because agent quality depends on the model and on the codebase.

## Editor-integrated assistants

These tools put AI inside the screen where you already write code.

[Cursor](/software/cursor) is an AI-first code editor for macOS, Windows and Linux, with coding agents, cloud agents and team controls. According to the vendor's pricing page, it has a free Hobby plan with limits, and paid Individual and Teams plans, with Teams billed per user. It is an editor you switch to, so a team that wants to keep its current editor may prefer an extension. It ranks second in the ranking.

[GitHub Copilot](/software/github-copilot) works in VS Code, a desktop app, the Copilot CLI and GitHub.com. Its agents can take an issue to a pull request. Usage is measured in GitHub AI Credits, which adds a metered cost on top of the plan. It fits best where your code already lives on GitHub, and it ranks third.

[Zed](/software/zed) is a fast code editor with real-time multiplayer editing and optional AI. Its Personal plan is free, and AI features need the Pro plan or your own API keys. Its source is on GitHub, mostly under GPL-3.0. Because AI is an add-on to the editor, it ranks below the dedicated coding agents, at seventh.

## Terminal agents

Terminal agents run in a shell and act on the project in front of them. They suit scripted work, remote machines and people who prefer a command line to a graphical editor.

[Claude Code](/software/claude-code) is Anthropic's agentic coding tool. It can run from the terminal, an IDE, Slack or the web, read a codebase, edit files and run commands. It is included in the Pro and Max plans of Claude, and no separate free tier is listed. It ranks first in the ranking, and it uses Anthropic's models only.

[Aider](/software/aider) is a terminal tool for AI pair programming. It edits code in a local git repository and commits each change, so every AI edit is a commit you can review or revert. It can run lint and test loops after changes and works with cloud or local models. It has no graphical editor, which suits developers who already work in the terminal.

[OpenAI Codex](/software/openai-codex) is a coding agent from OpenAI that runs locally in the terminal. Its CLI is open source under Apache-2.0. The pages checked for this ranking tie model access to an OpenAI sign-in, and the tool has no graphical interface.

[Cline](/software/cline) is open source under Apache 2.0 and runs as a desktop app, an IDE extension, a command-line tool or an SDK. It has Plan and Act modes that separate proposing changes from running them, and it works with any model you connect. The cost depends on the model provider you choose. Because the agent can run commands, its permissions need careful settings.

## Pricing models

The field mixes several pricing models, and each one changes what a monthly bill looks like.

| Tool | Type | Pricing model | Source code |
|---|---|---|---|
| Claude Code | Terminal agent | Included in Pro and Max | Not open source |
| Cursor | AI editor | Free Hobby plan with limits, paid plans | Not open source |
| GitHub Copilot | Editor extension and agent | Free plan, paid plans, metered AI Credits | Not open source |
| Zed | Code editor | Free Personal plan, AI with Pro or own keys | Mostly GPL-3.0 |
| Cline | Agent | Free software, model costs paid to the provider | Apache-2.0 |
| Aider | Terminal agent | Free software, model costs paid to the provider | Apache-2.0 |
| OpenAI Codex | Terminal agent | Open-source CLI, tied to OpenAI sign-in | Apache-2.0 |

Subscriptions bundle usage into a plan, as Claude Code does on Pro and Max. Freemium editors such as Cursor and GitHub Copilot set usage limits on their free tiers and meter heavier use. The open-source agents cost whatever the model provider charges for the tokens you use, which can be more or less than a subscription depending on how much you work. Compare the free-tier limits and the metering rules before you commit, because heavy users reach limits first.

## Open source and what you can inspect

Aider, Cline and OpenAI Codex publish their code under Apache 2.0, and Zed publishes its editor under GPL-3.0. That lets you read what the agent does and how it handles your files. It does not make the model behind the tool open, since model access is separate from the agent code.

Claude Code, Cursor and GitHub Copilot are not open source, so you rely on the vendor's documentation and terms for their behavior.

## Completion tools

Completion tools, which suggest the next few lines as you type, are not a separate group in this ranking. The ranked products are mostly agents that plan and edit across files, and some editors include inline suggestions alongside them. If you want only inline completion, check each product's own page before choosing, because this ranking does not score completion-only tools.

## Choosing among them

- Already on GitHub and in VS Code: GitHub Copilot is the simplest fit.
- Already on a Claude plan and comfortable in a terminal: Claude Code.
- Want an AI-first editor and accept switching editors: Cursor.
- Want source you can audit and your own choice of model: Cline or Aider.
- Work in git with a commit for every AI change: Aider.

Whatever you choose, read the diffs an agent produces before you accept them, run tests, and limit the commands an agent can run in shared or production environments.

## What to do next

Start with the ranking and test two tools on a small, real task in a branch of your own project. Note how much each one needs from you, what it costs after one week of normal use, and how often you have to correct it. Those observations will tell you more about fit than any single score.