Cursor: An AI-First Code Editor

Cursor looks like VS Code (because it's built from it) but every feature has AI inside. Tab completes whole functions, Cmd+K rewrites code from a description, and chat knows your whole codebase.

Some examples

• Press Tab — Cursor predicts the next 5 lines of code based on context.
• Hit Cmd+K, type 'add error handling,' and watch your function get wrapped in try/catch.
• Open chat and ask: 'Where is the user logged in across this codebase?'
• Use 'composer' to make multi-file changes from one prompt.

Try it!

Download Cursor (free tier exists). Open one of your projects. Try Tab completion on a function and Cmd+K to rewrite something. Compare to your normal flow.

Cursor is VS Code with AI baked in. It reads your whole project, so when you ask 'how do I add a login,' it knows your existing code structure. Free tier is enough to start.

Some examples

• Use Cmd+K to edit selected code
• Use Cmd+L for chat about your project
• Use 'Composer' for multi-file changes
• Use @ to reference specific files

Try it!

Install Cursor. Open a small project. Ask it 'what does this codebase do?' Then ask it to add one small feature. Read every change before accepting.

Understanding "AI and Cursor: a code editor that actually understands your code" in practice: Understanding AI in this area gives you a real advantage in how you work and think. Use Cursor to write code with full project context, not just one file — and knowing how to apply this gives you a concrete advantage.

• Apply cursor in your tools workflow to get better results
• Apply ide in your tools workflow to get better results
• Apply coding in your tools workflow to get better results

1. 1Apply AI and Cursor: a code editor that actually understands your code in a live project this week
2. 2Write a short summary of what you'd do differently after learning this
3. 3Share one insight with a colleague

Cursor's Composer (Cmd+I) is like chat but it edits multiple files. Add files to context, describe a feature, and Composer writes diffs across all of them.

Some examples

• Tell Composer 'add dark mode' — it edits Tailwind config, layout, and toggle component.
• Composer asks before editing a file outside your context set.
• Use @file to pin reference files Composer should read but not change.
• Always review the diff before clicking Apply All.

Try it!

Open Cursor on any project. Use Composer to add one small feature touching 2+ files. Review every diff.

Cursor is a fork of VS Code with AI features baked in from day one — multi-file edits, agent mode, smarter autocomplete. VS Code with Copilot is the same editor your school might already have, with AI features added on. For teens, the answer is usually: try both for a week, keep the one your fingers are happier in.

Some examples

• Cursor wins for: agentic refactors, big multi-file edits, learning the new hotness.
• VS Code+Copilot wins for: matching your school setup, classroom plugins, slower laptops.
• Cursor's free tier covers casual use; heavy use needs Pro ($20/mo).
• GitHub Copilot is free for verified students — check at education.github.com.

Try it!

Install both. Code the same small project in each for 30 minutes. Note which one felt smoother.

Cursor (and similar AI editors) follows project-level rule files. A short `.cursorrules` listing your stack, conventions, and 'never do X' rules saves you from correcting the same mistake every day.

Some examples

• A `.cursorrules` saying 'use pnpm not npm' stops the install-command suggestions you keep undoing.
• A line 'use Tailwind classes, not styled-components' keeps Cursor on-brand for your codebase.
• 'Prefer named exports over default exports' enforces your team's convention silently.
• 'No console.log in committed code' keeps debug statements out of suggested completions.

Try it!

Add a `.cursorrules` (or equivalent for your AI editor) listing 5 conventions. Note how often the AI now respects them.

both edit code with AI; the differences are in workflow and speed

Some examples

• Cursor's compose mode for multi-file edits
• Copilot's tighter inline ghost-text
• How each handles your private repo

Try it!

Open your favorite AI tool and try one of the examples above. Pick the one that matches what you are actually working on this week. Spend 10 minutes, no more. Notice what worked and what did not — that's the real lesson.