Choosing Your Tool: Cursor, Claude Code, Windsurf

You want to start using an AI coding tool and there are four names in every thread: Cursor, Claude Code, Windsurf, GitHub Copilot. The reviews contradict each other, the benchmarks change monthly, and nobody tells you the thing that matters: they are different shapes, not different rankings.

This is a buyer’s guide, not a leaderboard. As covered in article 01: How AI Coding Tools Actually Work, these are all agents pointed at your repo. What differs is where they live and how you talk to them.

Three shapes, not four products

Every tool here is one of three form factors. Pick the form factor first; the specific product second.

The AI-first IDE. A full editor built around the agent. Cursor and Windsurf are the examples. You edit files, the agent lives in a side panel, and the two are tightly wired: it knows which file you have open, what you selected, what errors the language server shows.
The terminal agent. A CLI that runs in your project directory with no editor at all. Claude Code is the example. You describe a task, it reads and edits files and runs commands, and you review the diff. It layers on top of whatever editor you already use.
The editor plugin. A plugin inside an editor you already have, usually VS Code or a JetBrains IDE. GitHub Copilot started here as strong autocomplete and grew an agent mode. You keep your setup and bolt the AI on.

That is the real decision tree. The specific product is a detail once you know which shape fits your day.

flowchart TB
    START([Pick a form factor]) --> IDE["AI-first IDE<br/>Cursor, Windsurf"]
    START --> TERM["Terminal agent<br/>Claude Code"]
    START --> PLUGIN["Editor plugin<br/>GitHub Copilot"]
    IDE --> A["Agent wired into<br/>a purpose-built editor"]
    TERM --> B["Agent in your shell,<br/>keep your editor"]
    PLUGIN --> C["Autocomplete plus agent<br/>inside your current editor"]

The AI-first IDE: Cursor and Windsurf

Cursor and Windsurf are forks of VS Code with the agent as a first-class citizen. Your extensions and keybindings mostly carry over, so the switch is low-friction. The payoff is integration: the tool always knows your editor state, so pointing it at “this function” or “the file I have open” just works.

This shape suits people who live in an editor and want AI woven through it: inline autocomplete while typing, a chat panel for questions, and an agent mode for larger changes, all in one window. The cost is adopting a new primary editor. If your whole workflow is already tuned in a JetBrains IDE or plain VS Code, a fork is a real switch.

Cursor and Windsurf are close cousins. Both do autocomplete, chat, and agent mode. Treat them as one category and try whichever feels better under your hands.

The terminal agent: Claude Code

Claude Code has no editor. It runs in your terminal, in your project directory: you ask, it reads files, edits them, runs the tests, and shows you a diff.

This shape suits backend engineers especially well, because you already live in the terminal. It stays out of your editor, so you keep vim, VS Code, or JetBrains as they are. It composes with the tools you already script: pipe it into a Makefile target, call it from a git hook, run it over SSH on a box with no GUI. The tradeoff is no inline autocomplete as you type; it is an agent, not a tab-completion engine. You reach for it for tasks, not keystrokes.

Why would I want a coding tool with no editor at all?

Because the editor is not where the agent does its work. It reads and writes files on disk and runs commands, none of which needs a GUI.

A terminal agent composes with everything else in your shell: run it in a container, over SSH, or inside a CI job, and pipe its output into other commands. And it never asks you to change editors, which for someone with years of muscle memory is the highest switching cost of all. The catch: no inline autocomplete. If you want the AI to finish your current line as you type, you want an IDE or a plugin instead.

The editor plugin: GitHub Copilot

GitHub Copilot is the plugin that popularized AI autocomplete: it suggests the next few lines as you type, and you press tab to accept. It runs inside VS Code, JetBrains IDEs, and others, so you add it without leaving your setup. It has since grown a chat panel and an agent mode that edits across files.

This shape suits people happy with their editor who want to add AI without changing anything else. The autocomplete is the strongest reason to reach for it: for the obvious next line, a fast tab suggestion beats firing up an agent. The agent features are real, but in this form factor the agent is a guest in someone else’s editor, not the center of it.

Comparing the shapes

Here is the same information as a table. Read it across the “how you interact” column; that is what you will feel every day.

	Cursor / Windsurf	Claude Code	GitHub Copilot
Form factor	AI-first IDE (VS Code fork)	Terminal / CLI agent	Plugin in your existing editor
Best at	Editor-integrated agent plus autocomplete	Task-driven, scriptable, headless work	Fast autocomplete, add-on to current setup
How you interact	Chat panel and agent inside the editor	Type a task in the shell, review a diff	Tab to accept, plus a chat and agent panel
Switching cost	Adopt a new primary editor	None; keep your editor	None; keep your editor
Composes with scripts, CI, SSH	Limited	Strongly	Limited

None of these rows is a winner. They are describing where each tool sits in your workflow.

How to actually decide

Do not pick on this month’s benchmark. The models underneath these tools change often, and today’s top scorer may not be next quarter’s. Pick on fundamentals that will still be true in a year:

Where do you want the AI to live? In a dedicated editor (IDE), in your terminal alongside the editor you already love (terminal agent), or bolted onto your current editor (plugin)? Answer this first; it eliminates most options.
Autocomplete or agent, mostly? If you mainly want the next line finished as you type, weight toward a plugin or IDE. If you mainly want to hand off whole tasks, a terminal agent or IDE agent mode fits better.
Does it need to run headless? CI jobs, remote servers, scripted pipelines. If yes, a terminal agent is the natural fit. If you only ever code on your laptop, this does not matter.
What is your switching cost? Adopting a new IDE is a real cost if your setup is dialed in. A plugin or terminal agent adds AI without disturbing it.

A concrete default for the reader of this site, a backend engineer who lives in the terminal and wants to hand off tasks: start with a terminal agent, and add a plugin for autocomplete if you miss it. If you would rather have everything in one window, try an AI-first IDE. There is no wrong first pick; the fundamentals transfer.

You can also pin the choice for a team in config so everyone starts the same way:

{
  "ai_tooling": {
    "primary_form_factor": "terminal_agent",
    "autocomplete_plugin": "editor_extension",
    "reason": "backend team, terminal-first, tasks handed off as diffs",
    "revisit": "when the primary model changes materially"
  }
}

The skills you build transfer between tools anyway: scoping a task, supplying the right files, reviewing the diff. Learn them once and you can switch products in an afternoon.

Common beginner mistakes

Picking on a benchmark: the ranking changes constantly. Pick on form factor, which does not.
Assuming they are ranked: they are different shapes, not better and worse versions of one thing.
Ignoring switching cost: adopting a new IDE is a real cost if your current setup is tuned; a plugin or terminal agent is not.
Expecting autocomplete from a terminal agent: it hands off tasks, it does not finish your line as you type.
Over-researching before trying: an hour with each shape teaches you more than a pile of reviews.
Thinking the choice is permanent: the skills transfer, so switching later is cheap.

Questions you will face in production

“Which one is the best?” Wrong question. Ask which shape fits your workflow. A terminal agent and an AI-first IDE can run the same underlying model and produce the same code; the difference is whether it lives in your shell or your editor. Pick the shape you will actually use every day.

“Should I standardize my whole team on one tool?” Standardize on the shape and the context setup, not the exact product. A shared rules file and clear conventions help every tool equally. Let people use the product they like, as long as the diffs get reviewed the same way.

“The benchmarks say tool X is ahead. Should I switch?” Probably not on that alone. Benchmark leads are temporary and the models get swapped underneath these tools regularly. Switch when a tool’s shape fits your workflow better, not because it topped a chart this month.

What to remember

These are three form factors, not four ranked products: AI-first IDE, terminal agent, editor plugin
Cursor and Windsurf are AI-first IDEs; Claude Code is a terminal agent; GitHub Copilot is a plugin with strong autocomplete plus an agent mode
Pick the shape first, the specific product second
Decide on fundamentals (where the AI lives, autocomplete versus agent, headless needs, switching cost), not on this month’s benchmark
The skills (scoping, context, review) transfer between tools, so a first pick is not a life sentence

What to study next

You have a tool. The next thing that decides output quality is what you feed it. Read article 03: Setting Up Context, which covers rules files and how to point any of these tools at the right slices of your codebase. That setup matters more than which product you chose, and it works the same across all three shapes.