Cursor in Practice: Tab, Agent, and Multi-File Refactors

What Cursor is

Cursor is an AI coding editor that controls the whole editor rather than plugging into an existing one, which is what lets it do multi-file edits, project-wide codebase context, and inline diff previews. GitHub Copilot installs as an extension into the editor you already use, so the two differ in how much context they can reach.

The product shape changed considerably in 2026: Cursor Agent is now the core, opened with Cmd+I (Ctrl+I on Windows/Linux), and extends into Projects, Cloud Agents, Automations, Bugbot and a CLI. The Cmd+K inline edit and Cmd+L chat panel that older articles describe are no longer the main entry points.

It launched in 2023. Before switching, check two things: how much of your day is cross-file refactoring, and whether you are willing to pay up to Premium for Agent-grade capabilities.

Pricing

Cursor is now sold as part of The X Subscription — one subscription covering Grok, Cursor and X. Official tiers as of 2026-10-21:

Annual billing is $80/yr for Plus, $300/yr for Premium, $1,000/yr for Super, and $2,000/yr for Ultra. Tiers, prices and usage rules come from the Cursor Models & Pricing docs and cursor.com/pricing, checked 2026-10-21.

The old Pro / Pro+ / Ultra / Start / Teams tiers are now marked legacy. The official note is that they "keep working as they are, with two monthly usage pools and on-demand usage." If you see Pro at $20 or Business at $40 in older documentation, those are legacy plan prices that new users can no longer buy.

Usage refreshes weekly, in one pool shared across the editor Agent, CLI, Cloud Agents, Grok Bot and the Grok apps; different models draw from the pool at different rates. Remaining usage and the next reset date appear in editor settings and under Usage at grok.com/dashboard.

For reference, GitHub Copilot tiers as of 2026-10-21 are Free / Pro $10 / Pro+ $39 / Max $100 (github.com/features/copilot/plans). Cursor Plus at $8 is compared against Copilot Pro at $10 — $2 cheaper, but Plus only includes Cursor's own models; third-party models like Claude, GPT or Gemini require Premium or above.

Two entry points, plus where the context comes from

Tab completion: while you write

The most frequently used feature. It doesn't just predict the next token — it predicts your next logical edit:

• Completes multi-line code blocks
• Predicts follow-up edits (rename a variable on line 10 and it suggests the same on line 25)
• Fills repeated cross-line patterns
• Predicts cross-file edits — when a change in one file requires an update in another, it follows through
• Pressing Tab again after accepting jumps to the next editing location, saving you a manual scroll

Official docs state it supports multi-line edits, adding missing imports, and coordinated changes across related code. The actual usable rate depends on the language and how strictly the codebase follows patterns; this article ran no head-to-head test.

Where it fails: complex business logic with domain-specific patterns, and the occasional wrong import.

Agent (Cmd+I): when you hand off a task

Select code or ask a question, and the Agent completes multi-step tasks independently: editing files, running terminal commands, searching the codebase.

Tasks with a clear scope and boundary can be handed off directly, such as "add error handling for when the API returns a 429 status code", "convert this class component to a function component with hooks", or "add JSDoc comments to every exported function in this file".

What runs away instead: instructions with no acceptance criteria like "make this code faster", refactors across interdependent files without explicit constraints, and code it has no context for such as a project's private internal API.

What is worth trying first is diff preview: you see the exact change and accept or reject it block by block. The common Copilot Chat flow is to get code in a chat window and paste it yourself, so the two differ in review granularity.

For larger bodies of work, use Projects: the coordinator agent writes no code itself. It plans, delegates implementation to other agents, and hands the finished work back for you to check. Projects live in the left-hand nav of the Agents Window and run on Cloud Agents.

Because they depend on Cloud Agents, Projects are only available on plans that include it (Premium and above), not on Free or Plus; Enterprise needs Cursor 3.21.9 or later. They also cannot be combined with Privacy Mode (Legacy), since Cloud Agents store code in the cloud while they run.

Where the context comes from: what the Agent can see

The Agent finds code mainly through local search, not a cloud semantic index. Official docs state it uses a built-in Instant Grep for exact matches (function names, variables, error strings, regex); the index is built and queried on your machine, and Cursor does not upload file paths or code to build a search index, nor does it store embeddings of your codebase for search. The content of files it opens is still sent with the request to the model.

Around that mechanism it can:

• Search by symbol automatically — ask "how does the auth middleware work" and it greps for the relevant files
• Reference specific files with @filename — "@schema.prisma which indexes does the User table have?"
• Spawn an Explore subagent — runs in its own context window with a faster model to execute many searches
• Edit multiple files — request changes across several files and it generates a diff for each
• Reference docs with @docs — point at an external documentation URL for context

Illustrative prompt (not run):

@utils/auth.ts @middleware.ts
Refactor the auth check: extract JWT verification into a shared utility,
have both middleware and auth utils call it, and delete the duplicated logic.

Cursor reads both files, proposes changes for each, and shows per-file diffs you can accept individually.

Cursor vs GitHub Copilot

Pick Cursor when you refactor often, work across files, want AI that understands project context, and will pay for Cloud Agents and Bugbot.

Pick Copilot when you are happy with your current editor, mainly need completion and inline suggestions, and don't want to switch editors.

Practical tips

1. Constrain project conventions with Rules

Project rules live under .cursor/rules; only those with alwaysApply: true enter every request, while the rest trigger on glob or description match. A root-level AGENTS.md is the official simpler alternative. The more specific the conventions, the less the output drifts from them. For example:

This is a Next.js 15 project using the App Router and TypeScript.
Default to Server Components; use "use client" only when required.
Style with Tailwind CSS, not CSS modules.
Every API route must validate input with zod.

Official docs split Rules into four kinds: project rules stored in .cursor/rules and version-controlled, user-level global rules, team rules managed from the dashboard for Team and Enterprise, and AGENTS.md as a simple alternative. Skills, Subagents, Hooks and MCP exist as separate extension mechanisms.

2. Be specific in prompts

Weak: "Fix this bug."

Strong: "The useEffect in UserProfile.tsx runs on every render instead of only when userId changes. Fix the dependency array and explain why the current implementation is wrong."

3. Review diffs carefully

Suggestions are not infallible. Common mistakes:

• Removing null checks that existed for a reason
• Adding unnecessary async/await
• Importing from the wrong package version
• Subtle type-narrowing errors in TypeScript

4. Use Tab to accelerate repetition

When writing similar code in test files, config entries or API handlers, write the first one by hand and let Tab predict the rest. The more repetitive the code, the bigger the gain.

5. Index external documentation

For fast-moving frameworks (Next.js, SvelteKit, tRPC), point @docs at the latest documentation. Otherwise it may generate code against an outdated API version.

Limitations

• Resource footprint — As a standalone editor it is not the same runtime as VS Code + Copilot, so measure responsiveness on your own machine and projects before switching.
• Extension compatibility — Most VS Code extensions work, but deeply editor-integrated ones can break. Check your must-haves before switching.
• Usage resets weekly, not monthly — A 2026 change. The upside is that one heavy day doesn't consume the whole month; the downside is you cannot bank quota for a month-end push.
• Third-party models cost extra — Premium and above unlock Claude, GPT and Gemini, but they bill at API list price from prepaid credit, not from the monthly fee.
• Learning curve — Good results require learning to state task scope and acceptance criteria up front.