Quick takeaways
- Cursor feels like VS Code with an AI pair programmer embedded at every layer.
- .cursorrules is the single most important file for consistent behavior across a repo.
- Agent mode can plan and execute multi-file changes, but review is still essential.
Cursor AI tutorial for beginners
Dave Gray walks through Cursor's interface, Composer, Agent mode, and practical coding workflows.
What Cursor is
Cursor is a fork of Visual Studio Code with built-in AI chat, inline predictions, Composer for larger edits, and an Agent mode that can reason across multiple files. It is designed for developers who want AI inside the editor rather than in a separate window. Because it inherits VS Code's extension and settings ecosystem, the switch is usually low-friction.
Setup and first run
- Download Cursor from the official site and install it like VS Code.
- Sign in and choose your preferred AI model under settings.
- Import your VS Code settings and extensions if prompted.
- Open a project and use Ctrl+L or Cmd+L to open chat.
- Try an inline edit with Ctrl+K or Cmd+K.
The first thing I do is pin the project context and verify the model selection. Cursor supports several backend models, and the right choice depends on task complexity and your plan's rate limits.
.cursorrules
.cursorrules is a project-level instructions file that shapes how Cursor
responds in that repository. It is the closest thing to giving Cursor a team style guide.
A good rules file is short, specific, and tied to your codebase.
Keep .cursorrules under version control so the whole team shares the same
behavior. Update it when you notice Cursor repeating a mistake; one bad pattern is often
cheaper to prevent with a rule than to fix in review every time.
Composer and Agent mode
Composer is Cursor's workspace for larger prompts. It can generate, rewrite, and refactor across files. Agent mode goes further: it plans steps, reads files, proposes edits, and can run terminal commands with your approval.
| Mode | Best for | Level of autonomy |
|---|---|---|
| Chat | Questions, explanations, small snippets | Read-only suggestions |
| Composer | Multi-file edits, refactors, generation | Suggested file changes |
| Agent | Complex tasks with tool and test execution | Autonomous with approvals |
Agent mode is powerful but should be treated like a senior intern with fast hands. Give it scoped tasks, require confirmation for destructive commands, and review every diff.
Multi-file edits
Cursor handles multi-file edits well when the relationships are explicit. Ask it to rename a field across the API, database layer, and UI, and it will usually find the relevant files. For larger refactors, start with a plan: ask Cursor to list the files it thinks need changing before it edits them.
A useful pattern is "inspect, plan, implement, verify." Make Cursor explain what it found, outline the changes, execute, and then run tests. This mirrors a strong code review loop and catches scope creep early.
Pricing and limits
Cursor offers a free tier with limited requests and paid tiers with higher limits and premium model access. The key metric is not just price but how many agent or composer requests your workflow consumes. Heavy multi-file or agent usage can move you up a tier quickly.
| Tier | Best for | Watch out for |
|---|---|---|
| Free | Trying Cursor on small tasks | Request limits and slower responses |
| Pro | Daily development with AI chat and composer | Track agent usage |
| Business | Teams with shared billing and admin controls | Usage can scale fast |
For API-style pricing comparisons across AI coding tools, see AI model API pricing compared.
Best use cases
- Writing boilerplate, tests, and component scaffolding.
- Refactoring across multiple related files.
- Explaining legacy code and generating documentation.
- Debugging with stack traces and log context.
- Rapid prototyping inside a familiar editor.
Limitations
- Cursor inherits all the usual AI risks: hallucinations, outdated knowledge, and overconfidence.
- Large agent runs can produce noisy diffs with unrelated changes.
- It works best in codebases with clear structure and tests.
- Privacy and compliance teams may want to review data handling before using it on sensitive code.
Without AI vs. with AI
| Task | Without AI | With AI |
|---|---|---|
| Project onboarding | Developers spend hours reading docs and exploring file trees to understand a new repo. | Cursor indexes the repo and answers natural-language questions about structure and logic. |
| Multi-file edits | Refactors require manual find-and-replace across files and risk missing call sites. | Composer plans and applies coordinated changes across multiple files in one pass. |
| Code style consistency | Style drift is caught only during code review or linting. | .cursorrules encodes team conventions so every suggestion follows the same guidelines. |
| Debugging | Developers read logs, set breakpoints, and manually trace execution. | Cursor can explain errors, suggest fixes, and run tests using terminal context. |
| Large generation tasks | Writing scaffolding, tests, and boilerplate from scratch is time-consuming. | Agent mode generates, edits, and verifies files based on a high-level task description. |
FAQ
Is Cursor a separate editor from VS Code?
It is a fork of VS Code, so most extensions, settings, and keybindings transfer over.
Can I use my own API key in Cursor?
Depending on your plan and version, you may be able to bring your own key or use Cursor's managed models.
What should go in .cursorrules?
Style preferences, naming conventions, testing rules, and any recurring correction you find yourself making.
Is Agent mode safe for production code?
Use it with approval prompts, review every change, and run tests. Do not let it deploy without human sign-off.
How does Cursor compare to GitHub Copilot?
See the detailed comparison in Cursor vs GitHub Copilot.
Can I use Cursor with my existing VS Code extensions?
Most VS Code extensions work because Cursor is a VS Code fork. Test critical extensions before switching fully.
What model should I use in Cursor?
Start with the default model for your plan, then compare on your codebase. Complex reasoning tasks may benefit from stronger models.
How do I stop Cursor from changing files I did not ask about?
Scope prompts tightly, use .cursorrules to define boundaries, and require approval for agent actions.
Is Cursor safe for production code?
Yes with review. Treat Agent mode like a fast teammate: verify diffs, run tests, and never auto-deploy.
Can Cursor help with legacy code?
Yes. It can explain, refactor, and add tests, but poorly structured legacy code may need more explicit guidance.