Cursor vs Copilot: the AI editor against GitHub's assistant

What is the difference between Cursor and Copilot?

Cursor is a standalone AI code editor; GitHub Copilot is an AI assistant that plugs into the editor you already use and into GitHub itself. With Cursor you switch editors and get autocomplete, an agent panel, cloud agents and a CLI from one company. With Copilot you keep VS Code, Visual Studio, a JetBrains IDE, Eclipse or Xcode, and add suggestions, agent mode, a terminal agent and an agent that works from GitHub issues.

So the main question is whether you want to change editors. If you are happy to move to a VS Code style editor built around AI, Cursor is the natural fit. If your team is spread across IDEs, or your work starts in GitHub issues and pull requests, Copilot fits more easily.

How does Cursor work?

Cursor describes itself as "a coding agent for building ambitious software." It ships as a desktop editor, and the main pieces are:

• Tab, which Cursor calls its "AI-powered autocomplete." It suggests code as you type, can change several lines at once and adds missing imports.
• Agent, opened in a side pane with Cmd+I, which can "complete complex coding tasks independently, run terminal commands, and edit code."
• Cloud Agents, which "run in isolated VMs in the cloud." You can start them from the editor, cursor.com/agents, the iOS app, Slack, Linear, an @cursor comment on GitHub, or the API.
• Cursor CLI, a command called agent, with a -p print mode for scripts and CI.
• Bugbot, which "reviews pull requests and identifies bugs, security issues, and code quality problems."

Cursor can also run inside JetBrains IDEs through the Agent Client Protocol, on a paid plan. On models, it ships its own (Composer 2.5 and Grok models jointly trained with SpaceXAI) and offers Claude, GPT and Gemini on Premium and higher.

How does GitHub Copilot work?

GitHub Copilot is "an AI assistant that helps you write, understand, and ship software." It runs in several places:

• In your IDE, with code completion and next edit suggestions as you type, plus agent mode. GitHub's feature matrix lists agent mode in VS Code, Visual Studio, JetBrains, Eclipse and Xcode.
• Copilot cloud agent, which works "in an ephemeral cloud development environment, rather than your local IDE." You start it from the agents panel, a conversation, an issue or a pull request, and it opens one pull request per task.
• Copilot CLI, the copilot command, with plan mode (Shift+Tab), -p for one-shot tasks and /model to switch models.
• Copilot code review on pull requests.
• Third-party coding agents, such as OpenAI Codex, which work alongside cloud agent and are in public preview.

Cursor vs Copilot side by side

How do the agents compare?

In the editor. Both give you an agent that edits files and runs commands while you watch. Cursor's agent is built into its own editor and has plan, debug and design modes. Copilot's agent mode lives in whichever supported IDE you use, so a team on mixed editors gets the same assistant everywhere.

In the cloud. This is where the two feel most different. Cursor Cloud Agents get a full development environment, can run many tasks in parallel and can work across several repos at once. They connect to GitHub, GitLab, Bitbucket or Azure DevOps. Copilot cloud agent is part of GitHub: assign an issue to it and it creates a branch, commits and opens a pull request for review.

Safety. Cursor uses run modes: Auto-review runs allowlisted calls, sandboxes shell commands when it can and sends the rest to a classifier. Copilot CLI asks before it changes files, has /sandbox enable for local sandboxing, and copilot --cloud starts a session in a cloud sandbox, which is in public preview.

How do rules and skills carry over?

Rules. Cursor's project rules are .mdc files in .cursor/rules/, with description, globs and alwaysApply in the frontmatter. A plain .md file in that folder is ignored; Cursor points you to AGENTS.md if you prefer plain Markdown. See the Cursor rules guide.

Copilot's own files are .github/copilot-instructions.md and path-specific .github/instructions/*.instructions.md (the Copilot custom instructions guide covers them). GitHub's support table shows AGENTS.md read by cloud agent, Copilot CLI, code review on GitHub.com and VS Code Chat, but not JetBrains Chat.

Skills. Both support Agent Skills, folders with a SKILL.md file. Cursor's skills docs list .agents/skills/ and .cursor/skills/, and say Cursor "also loads skills from Claude and Codex directories." GitHub's agent skills page lists .github/skills, .claude/skills and .agents/skills. A skill in .agents/skills/ works in both. The Cursor skills guide has more.

How much do Cursor and Copilot cost?

Prices below are as of October 2026.

• Cursor (pricing, models and pricing docs): Free with limited usage; Plus at $8 a month with Cursor's own models only; Premium at $30 with 4x Plus usage, Cloud Agents, Bugbot and third-party models at API list price from prepaid credit; Super at $100 (15x Plus) and Ultra at $200 (50x Plus). Teams seats are $30, $100 or $200 a month. Cursor is sold as part of The X Subscription, which also covers Grok and X.
• GitHub Copilot (plans): Free, limited to 2,000 completions a month and auto model selection; Pro at $10 a month with 1,500 AI credits; Pro+ at $39 with 7,000; Max at $100 with 20,000; Business at $19 per seat and Enterprise at $39 per seat. GitHub says completions and next edit suggestions "remain unlimited for all paid plans," and Copilot CLI is on every plan.

Model access differs too. Copilot Pro includes a selection of models such as Claude Sonnet 5.5, GPT-6 Luna and Gemini 3.8 Flash; Pro+ and Max add models such as Claude Opus 5.5, GPT-6.1 Sol and Gemini 4 Argon. In Cursor, those third-party models need Premium or higher and are billed per token on top of the plan.

Which should you pick?

Cursor tends to fit when:

• You are happy to switch to one AI-first editor and want everything in it.
• You want cloud agents you can start from Slack, Linear, your phone or the API, including across several repos.
• Cursor's own models cover most of your work and you want a low entry price.
• You already keep skills in .claude/skills/ or .codex/skills/, which Cursor loads directly.

GitHub Copilot tends to fit when:

• Your team uses different IDEs and does not want to change.
• Your work starts in GitHub issues and you want an agent that turns them into pull requests.
• You want Claude, GPT and Gemini models included in a paid plan rather than billed separately.
• Your company already buys Copilot Business or Enterprise.

Neither list is a verdict. Both offer a free plan, so try a real task from your backlog in each before you commit.

Keep your rules and skills portable

Whichever tool you choose, the instructions you build up are worth keeping separate from any one editor. Putting shared guidance in AGENTS.md and shared skills in .agents/skills/ means both tools find them. Kipt keeps your prompts and skills as Markdown in a private GitHub repo you own. If you have a prompt you keep pasting into chat, the free SKILL.md generator turns it into a skill folder in your browser.