Cursor is the AI-first VS Code fork that turned IDE autocomplete from “useful sometimes” into “your average pace just went up 2x.” But most users only scratch the surface. The difference between a casual user on Cursor Pro and a power user shipping 3x more is rarely the model — it’s the workflow. This is the playbook.
The Three Cursor Modes (Use Them Differently)
| Mode | What it does | When to use |
|---|---|---|
| Tab | Multi-line AI autocomplete | Default. Always on. |
| Cmd-K (Inline Edit) | Edit selected code with a prompt | Small targeted changes |
| Composer / Agent | Multi-file edits, runs commands | Refactors, new features |
Casual users live in Chat. Power users mostly use Tab + occasional Composer. Chat is for thinking out loud, not building.
Setup That Pays for Itself
1. Add a .cursorrules File
A single .cursorrules at the repo root sets style, conventions, and forbidden patterns. Example:
- Use TypeScript strict mode
- Prefer functional components and hooks
- Never use `any`
- Test files live next to the source file as *.test.ts
- Use Tailwind, not styled-componentsCursor injects this into every AI prompt. One file, repo-wide alignment.
2. Pick the Right Model Per Task
| Task | Model to pick |
|---|---|
| Tab autocomplete | Default (fast, cheap) |
| Plan a refactor | Claude Sonnet or GPT-5 thinking |
| One-shot edits | GPT-5 or Sonnet |
| Long-context analysis | Claude with 200k context |
Switching models is two clicks — use the heavy model only when the task needs it.
3. Index the Repo
Settings → Codebase → “Compute embeddings.” Once indexed, @codebase in prompts pulls the right files automatically. Without it, you waste tokens on irrelevant context.
Pro Workflows
Workflow 1: Tab-Driven Implementation
Write the function signature and a JSDoc comment describing what it does. Tab fills the body. Iterate on the comment to refine the body. Faster than typing the whole function or describing it in Chat.
Workflow 2: Composer for Multi-File Refactors
“Rename getUser to fetchUser everywhere, including tests and types.” Composer searches, edits, and shows a diff per file. Approve file-by-file.
Workflow 3: Inline Doc Generation
Select a function → Cmd-K → “Add a JSDoc comment with examples.” Faster than switching to Chat.
Workflow 4: Reading Unfamiliar Code
Select a file → “Explain how this connects to the rest of the codebase.” Cursor uses your indexed repo for real answers, not generic explanations.
Habits Power Users Share
- Commit before Composer runs. Always. The agent can touch 10 files.
- Keep tests fast. Cursor will run them; slow tests slow the loop.
- Talk to Cursor like a junior engineer. Specific files, specific behavior, specific constraints.
- Reject sloppy diffs. Better to retry the prompt than accept and fix.
Where Cursor Beats Other AI Coding Tools
- IDE feel: identical keybindings to VS Code, extensions work
- Tab quality: best-in-class multi-line autocomplete
- Composer: more controllable than Devin’s autonomous mode, faster than chat-only tools
For chat-first workflows where the AI runs the show, Claude Code is more conversational. For pure autocomplete inside JetBrains/Visual Studio, GitHub Copilot still has reach. For a side-by-side, see Windsurf vs Cursor and Cursor vs Windsurf vs Claude Code.
Plan Picker
| You are | Cursor plan |
|---|---|
| Trying it out | Hobby (Free) — limited fast requests |
| Daily user | Pro ($20/mo) ⭐ — 500 fast requests |
| Heavy multi-project | Pro+ ($60) |
| Power user with long sessions | Ultra ($200) |
| Team needing privacy | Teams ($40/user) |
Compare in Cursor free vs paid.
FAQ
Is Cursor worth $20/mo over Copilot? For Tab quality and Composer, most full-time devs say yes. Try the free Hobby tier first.
Can I use my own API key? Yes — settings let you bring an OpenAI/Anthropic key for unlimited use (paid usage to providers).
Does Cursor work with my VS Code extensions? Yes — it’s a VS Code fork, so most extensions install directly.
Cursor vs Windsurf? Both are VS Code-based AI IDEs. Cursor leads on ecosystem; Windsurf on UI polish. See our comparison.
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