Cursor Editor: AI-Integrated IDEs

Cursor launched as a fork of VS Code with AI deeply integrated. By late 2024, it had become many developers’ primary editor. Here’s why.

What Is Cursor

Cursor is:

• VS Code fork (same extensions, keybindings)
• AI built into core editing experience
• Codebase-aware (indexes your project)
• Chat + edit in one flow

Key Features

Cmd+K (Inline Edit)

# Select code, hit Cmd+K, describe change
def calculate_total(items):
    return sum(items)

# Prompt: "add discount parameter with default 0"

# Result:
def calculate_total(items, discount=0):
    total = sum(items)
    return total * (1 - discount)

AI edits directly in place.

Cmd+L (Chat with Codebase)

> How does authentication work in this project?

Cursor searches your codebase and responds:
"Authentication uses Django's built-in system with a custom
 User model defined in accounts/models.py. JWT tokens are 
 issued via the /api/auth/token endpoint in api/views.py..."

Context-aware answers about YOUR code.

Tab (Autocomplete on Steroids)

def send_notification(user_id, message):
    # Tab completes multi-line blocks
    user = User.objects.get(id=user_id)
    notification = Notification.objects.create(
        user=user,
        message=message,
        created_at=timezone.now()
    )
    send_push_notification(user.device_token, message)
    return notification

Predicts what you’re trying to write.

@ Mentions

@filename.py What does this file do?
@function_name How is this called?
@docs What's the API for requests library?
@web Current best practices for Django auth

Reference specific context in prompts.

Setup

Installation

# Download from cursor.so
# Or via Homebrew
brew install --cask cursor

Migration from VS Code

Cursor automatically imports:
├── Extensions
├── Keybindings
├── Settings
└── Themes

Nearly zero friction switch.

Configuration

// Settings (JSON)
{
    "cursor.general.aiModel": "gpt-4",
    "cursor.editor.copilot++": true,
    "cursor.codebase.indexOnOpen": true
}

Workflow Examples

Refactoring

Select function → Cmd+K
"Refactor to use async/await, add error handling, 
 and type hints"

# AI generates refactored version
# Review diff, accept or modify

Bug Fixing

Cmd+L
"I'm getting a TypeError on line 45. The error is:
 TypeError: 'NoneType' object is not iterable"

# Cursor analyzes surrounding code
# Suggests fix based on context

Code Review

Select PR diff → Cmd+K
"Review this code for security issues and 
 suggest improvements"

# AI provides detailed review

Learning New Codebase

Cmd+L
"Give me an overview of this project's architecture.
 What are the main components and how do they interact?"

# Comprehensive explanation based on actual code

vs GitHub Copilot

Cursor is more integrated; Copilot is more universal.

The Compose Feature

Multi-file changes from natural language:

Prompt: "Add a new endpoint for user preferences 
that stores dark mode and notification settings"

Cursor creates/modifies:
├── api/views.py (new endpoint)
├── api/urls.py (route)
├── models/preferences.py (new model)
├── serializers/preferences.py (new serializer)
└── tests/test_preferences.py (new tests)

Coordinates changes across files.

Codebase Indexing

On project open:
1. Parse all code files
2. Build semantic index
3. Store in local vector DB

Result:
- Fast contextual search
- Accurate code explanations
- Relevant suggestions

Privacy

Options:
├── Use OpenAI (code sent to API)
├── Use local model (privacy preserved)
└── Use Anthropic Claude

Choose your privacy/capability tradeoff.

Tips

Effective Prompts

# Specific is better
❌ "Make this better"
✅ "Refactor this to use list comprehension and add input validation"

# Include context
❌ "Add logging"
✅ "Add logging using our existing logger from utils/log.py"

Code Selection

# Select relevant context
# Don't select 500 lines—select the specific area

# For complex changes, break into steps
Step 1: "Add the data model"
Step 2: "Add the API endpoint"
Step 3: "Add tests"

Review Everything

# AI-generated code needs review
# Check for:
├── Edge cases
├── Security issues
├── Consistency with codebase style
└── Unnecessary complexity

Limitations

• Hallucinations still happen
• Large codebases can be slow to index
• Some refactors are better done manually
• Learning curve for effective prompting

Pricing

Final Thoughts

Cursor represents the IDE of 2025: AI isn’t a sidebar feature—it’s core to editing. The codebase awareness makes it actually useful for real projects.

Try it for a week. You’ll miss Cmd+K when you go back to regular editors.

The editor that understands your code.