Cursor vs VS Code With Copilot: What You Gain by Switching

Cursor vs VS Code is a narrower choice than it looks. Cursor is built on the VS Code codebase, so the editor, the shortcuts and most extensions carry over in one import. What changes when you switch is the layer on top: Cursor’s own agent, modes and rules instead of GitHub Copilot’s; extensions from the Open VSX registry instead of Microsoft’s Visual Studio Marketplace; Cursor’s models, including its own, in place of the Copilot model picker; and a Cursor plan with two usage pools in place of a Copilot plan billed in AI credits. Both have an agent, a plan mode, instruction files, MCP and a choice of models. Pick by which of those differences matters to your work, not by which is better in general. Everything below is as of October 1, 2026, from each vendor’s documentation.

The editor base

Cursor’s VS Code migration help↗ (opens in a new tab) covers the move: Cursor Settings, General, Account, then Import under VS Code Import brings over extensions, themes, settings and keybindings. The default shortcuts are the same, and the two run as separate applications, so you can keep both and open the same project in either. Cursor’s migration guide adds that it rebases onto recent VS Code versions regularly, often slightly older ones for stability, so a new VS Code feature can reach Cursor later.

The extension store is the bigger difference. Cursor’s extensions page↗ (opens in a new tab) says it uses the Open VSX registry, through its own proxy that runs malware and supply-chain checks before an extension is offered. “Most popular extensions are available on Open VSX, but not every Microsoft Marketplace extension is listed there,” and Cursor publishes its own Anysphere builds to replace some that are missing. VS Code installs from the Visual Studio Marketplace. If your team depends on a Microsoft-only extension, check it in Cursor before you switch.

Agent modes

• Cursor: Agent edits, runs commands and checks its work; Ask is read-only; Plan researches, asks questions and writes a plan you approve; Debug forms hypotheses and adds logging to find a root cause. Design Mode lets you click or draw on a running page in the Agents Window’s browser to direct a change. Shift+Tab cycles the modes. The Agents Window is a second, agent-first interface for parallel agents, worktrees and cloud handoff.
• VS Code with Copilot: Agent, Ask and Plan in the Chat view, plus an Agents window for assigning tasks and reviewing results. VS Code’s page on agent harnesses↗ (opens in a new tab) lists Local, GitHub Copilot, Anthropic Claude and OpenAI Codex harnesses, and a Cloud target for a task that runs remotely against a GitHub repository and returns a pull request.

The VS Code harnesses are the structural difference: you can run Anthropic’s or OpenAI’s own agent inside VS Code, with its own tools and permission options, rather than only a different model behind one agent. How the two agents handle planning, approvals, checkpoints and cloud runs on a long task is compared in GitHub Copilot agent vs Cursor agent.

Rules and instructions files

• Cursor: project rules are .mdc files in .cursor/rules with frontmatter that decides when each applies; a plain .md file there is ignored. Cursor’s rules documentation↗ (opens in a new tab) adds user rules, team rules on team plans (applied in the order team, project, user), and AGENTS.md at the root and in subdirectories. Its help pages say a root CLAUDE.md is read like AGENTS.md and always applied.
• VS Code: .github/copilot-instructions.md for project-wide guidance, .instructions.md files with an applyTo glob for matching files, and AGENTS.md, which VS Code’s custom instructions page↗ (opens in a new tab) calls “a cross-agent format for project guidance”. Nested AGENTS.md files are experimental and behind a setting. CLAUDE.md applies to Claude harness sessions.

The file both read is AGENTS.md. If some of the team stays in VS Code and some moves to Cursor, put the shared rules there and keep each tool’s extras in its own folder:

AGENTS.md                          # shared: build, test, style, what never to touch
.cursor/rules/frontend.mdc         # Cursor only: globs: src/components/**
.github/copilot-instructions.md    # Copilot only: anything Cursor does not need
.github/instructions/api.instructions.md   # Copilot only: applyTo: "src/api/**"

Ready-made files are in Cursor rules examples and Copilot instructions examples.

MCP

Both are MCP clients for local and remote servers. Cursor keeps servers in .cursor/mcp.json for a project or ~/.cursor/mcp.json for every project, over stdio, SSE or Streamable HTTP, with OAuth for remote servers and one-click installs from its marketplace. VS Code keeps them in .vscode/mcp.json, a portable .mcp.json at the project root, or your user configuration; you can search @mcp in the Extensions view, workspace servers follow Workspace Trust, and organizations can manage access through GitHub policies. A remote server such as a task board works the same in both; only the file it is written in differs. The files side by side are in MCP clients compared.

Model choice

• Cursor: its own models, which its docs name as Grok 4.7, its flagship, and Composer, its fast model, alongside models from OpenAI, Anthropic and Google. Auto picks for you, with Cost, Balance and Intelligence modes; on Teams and Enterprise, Cursor Router makes that choice. The free Hobby plan gets a smaller set of models.
• VS Code: a model picker in the chat input, and Auto with Efficiency, Balance and Intelligence tiers. VS Code’s language models page↗ (opens in a new tab) also describes bring your own key: models from a compatible provider “work without signing into a GitHub account and without a Copilot plan”, though Copilot Business and Enterprise users need an administrator to allow it.

The plan model, by name

Both charge by usage inside a plan rather than a flat allowance of requests, so the model you choose changes how fast you use your plan up.

• Cursor: Hobby (free, limited), Pro, Pro Plus and Ultra for individuals; Teams, with Standard and Premium seats, and Enterprise for companies; and Start, a lower-cost plan for developers in India. Paid individual plans have two usage pools, one for Cursor’s own models and one for third-party models at their API rates.
• GitHub Copilot: Copilot Free, Copilot Student, Copilot Pro, Copilot Pro+ and Copilot Max for individuals; Copilot Business and Copilot Enterprise for organizations. VS Code’s setup guide says models included with Copilot “consume AI credits from your Copilot plan”, and signing in without a plan enrolls an eligible account in Copilot Free.

Limits and plan names change often; read each vendor’s current plans page before you commit a team.

What you gain by switching, and what you give up

• You gain: an editor built around one agent, with Debug and Design modes, the Agents Window, plans saved as files, Cursor’s own models, and cloud agents that can start from Slack or Linear as well as GitHub.
• You give up: the Visual Studio Marketplace for Open VSX, VS Code features until Cursor rebases onto them, the choice of Claude and Codex harnesses inside the editor, and Copilot’s place inside GitHub, where its cloud agent and code review already sit.
• Neither changes: the editing, the keybindings, AGENTS.md, MCP, and the need to review every diff yourself.

If neither fits, other editors and terminal agents are compared in Cursor alternatives, and what Cursor is in full is in what is Cursor AI.

Trying Cursor without leaving VS Code

1. Install Cursor beside VS Code and import your setup.
2. Open your extension list and check the ones you rely on in Cursor’s Extensions panel.
3. Move shared instructions into AGENTS.md so both editors read the same rules.
4. Run the same small, tested task in each for a week, on its own branch, and compare the diffs you had to fix.
5. Decide per person. Nothing stops half a team using each, as long as the rules file and the work list are shared.

One board, whichever editor

A mixed team’s plans and chats end up split across two editors. fenbs keeps the work list outside both: tasks in To Do, Next Up, In Progress and Completed, each with a note for the problem, a plan, and a test status with test notes. Both editors connect to https://fenbs.ai/api/mcp with an OAuth sign-in, or a token you issue under Settings with a name, scopes and an optional expiry. History records each change under the assistant’s name and yours, whichever editor made it. fenbs has no sprints, due dates or settable assignee; it is the shared list, not a scheduler.