I Paid for VS Code, Cursor, and Windsurf Simultaneously for 6 Months. Here's What I Actually Learned

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The Setup

So I did something maybe a bit crazy—I've been paying for all three AI code editors (VS Code + Copilot, Cursor, and Windsurf) at the same time for the last 6 months. Not for content, not for a review—I genuinely needed to figure out which one works best for different scenarios.

My day job is Power Platform development (PCF controls, Dataverse schemas, Copilot Studio), so I've been using these in actual production codebases. Not toy examples. Not "hello world" demos. Real debugging sessions at 2 AM, real refactoring nightmares, real enterprise constraints.

Here's what I learned that nobody's talking about.

Full comparison with all the details: https://aidevme.com/vs-code-vs-windsurf-vs-cursor-my-honest-take-after-6-months-using-all-three/

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Architecture Matters More Than Features

Everyone focuses on feature lists, but the architecture is what actually determines how you'll use the tool daily.

VS Code + Copilot: Extension API Model

┌─────────────────────────────────────────┐
│         VS Code + Copilot               │
│  ┌────────────────────────────────┐     │
│  │    Copilot Extension           │     │
│  │    (Separate Process)          │     │
│  │    Limited Editor Visibility   │     │
│  └────────────────────────────────┘     │
│         VS Code Core                    │
└─────────────────────────────────────────┘

What this means in practice:

Copilot can't see:

• Your terminal output stream
• Your file navigation patterns
• Linter errors in real-time
• Debug session state

You have to explicitly copy/paste context into chat. Every. Single. Time.

Real debugging session example:

1. Build fails
2. Copy terminal error to Copilot chat
3. Copilot: "What files are relevant?"
4. You: List files
5. Copilot: Suggests fix
6. You: Apply changes manually
7. Build fails differently
8. Repeat from step 2

It works, but you're the context manager. Copilot is a brilliant consultant who needs constant status updates.

Cursor: Optimized Fork Model

┌─────────────────────────────────────────┐
│              Cursor                     │
│  ┌────────────────────────────────┐     │
│  │    Cursor AI (Built-in)        │     │
│  │    Enhanced Editor Hooks       │     │
│  │    Deeper Context Access       │     │
│  └────────────────────────────────┘     │
│    Modified VS Code Fork                │
└─────────────────────────────────────────┘

Cursor can modify VS Code internals, so the AI has deeper hooks into editor state. This enables their Tab feature (multi-line prediction) and better context assembly.

Trade-off: You're locked to Cursor. Can't swap out the AI layer or use it in JetBrains.

Windsurf: Integrated Agent Model

┌─────────────────────────────────────────┐
│             Windsurf                    │
│  ┌────────────────────────────────┐     │
│  │    Cascade (Integrated)        │     │
│  │    First-Class Editor Access   │     │
│  │    Continuous Observation      │     │
│  │  + Devin Cloud Agent           │     │
│  └────────────────────────────────┘     │
│    AI-Native Fork                       │
└─────────────────────────────────────────┘

Cascade has privileged access to the rendering pipeline. It sees everything automatically:

• Terminal output (real-time)
• Linter errors (auto-fixes without asking)
• File navigation (infers intent)
• Test results

Same debugging session with Windsurf:

1. Build fails
2. Cascade: "I see the test failed. Here's what's wrong. Want me to fix it?"
3. You: "Yes"
4. Done

Trade-off: Higher resource consumption (always watching = always consuming RAM). My ThinkPad struggles. My MacBook is fine.

---

The Tab Completion Battle

Let me be blunt: Cursor's Tab feature is the best multi-line autocomplete in the industry.

I'm not exaggerating. It predicts my next 5-10 lines with unsettling accuracy. Here's an example from actual React work:

I type:

const handleSubmit = async (e: FormEvent) => {

Cursor Tab suggests (correctly):

const handleSubmit = async (e: FormEvent) => {
  e.preventDefault();
  setLoading(true);
  
  try {
    const response = await api.submitForm(formData);
    if (response.ok) {
      navigate('/success');
    }
  } catch (error) {
    setError(error.message);
  } finally {
    setLoading(false);
  }
};

How did it know:

• I use api.submitForm? (from other files)
• I have a formData state? (from context)
• I navigate on success? (from routing patterns)
• I use try/catch/finally? (coding style)

Windsurf's Supercomplete is also excellent. VS Code Copilot's inline suggestions are good but not this predictive.

For flow state coding, Cursor wins. No contest.

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The Context Awareness Spectrum

Here's where these tools sit on the "how much does the AI know about what I'm doing" spectrum:

Low Context (VS Code + Copilot):

• Only knows what you explicitly tell it
• Session-only memory
• Must rebuild context each conversation
• Pros: Predictable, controlled
• Cons: High prompt overhead

Medium Context (Cursor):

• Excellent codebase indexing
• Understands repo structure automatically
• Limited persistent memory
• Pros: Fast, accurate within known scope
• Cons: Still needs explicit prompting for complex tasks

High Context (Windsurf):

• Continuous observation
• Persistent memory across sessions
• Infers intent from behavior
• Pros: Autonomous, proactive
• Cons: Resource-heavy, can be unpredictable

Real example - Dataverse schema work:

With VS Code: "I'm working on a Contacts table. I need to add three lookup columns to Account. Here's my publisher prefix. Here's the naming convention I use."

With Cursor: "Add three lookup columns to Contacts for Account" (it knows the rest from codebase)

With Windsurf: Opens schema file, starts adding columns → Cascade: "I see you're adding Account lookups to Contacts. Want me to generate the TypeScript interfaces too?"

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Performance Numbers (Real Hardware)

Tested on M2 MacBook Pro (16GB) and ThinkPad T490 (8GB):

Cold Start Times:

• VS Code: 1-2 sec
• Cursor: 2-3 sec
• Windsurf: 3-5 sec

RAM Usage (Baseline):

• VS Code: 300-450 MB
• Cursor: 400-600 MB
• Windsurf: 500-900 MB

RAM Usage (Heavy AI Work):

• VS Code: 600-800 MB
• Cursor: 800 MB - 1.2 GB
• Windsurf: 1.2-1.8 GB

My ThinkPad (8GB RAM):

• VS Code: Good
• Cursor: Usable but occasionally slow
• Windsurf: Struggles (frequent swapping)

Recommendation:

• 8GB or less → VS Code
• 16GB → Any of the three
• 32GB+ → Windsurf or Cursor (maximize AI capabilities)

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The Dev Container Problem

This is huge for anyone doing PCF development or working with containerized environments:

VS Code: Dev Containers are gold standard. Mature, reliable, well-documented.

Cursor: Dev Containers work well. Occasional quirks but generally solid.

Windsurf: NO DEV CONTAINER SUPPORT.

This is a deal-breaker for PCF work where you need Node.js version isolation. I keep hoping they'll add this, but as of April 2026, still nothing.

If your workflow requires Dev Containers: VS Code or Cursor only.

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Real Workflow Scenarios

Scenario: Large TypeScript Refactoring

Needed to rename an interface used across 40 files.

Cursor Composer:

Me: "Rename ContactData to ContactEntity everywhere and update all imports"
Cursor: [Shows preview of all 40 files]
Me: "Apply"
Cursor: [Executes cleanly]
Time: ~30 seconds

Windsurf Cascade:

Me: "Rename ContactData to ContactEntity everywhere"
Cascade: [Analyzes repo, shows preview]
Me: "Apply"
Cascade: [Executes cleanly]
Time: ~30 seconds

VS Code Copilot Agent Mode:

Me: "Rename ContactData to ContactEntity everywhere"
Copilot: "Which files should I check?"
Me: "All TypeScript files"
Copilot: [Searches, proposes changes]
Me: "Apply"
Copilot: [Executes]
Time: ~2 minutes (more back-and-forth)

Winner for refactoring: Cursor (slightly faster, cleaner preview)

Scenario: Building Feature from Figma Mockup

Windsurf:

• Drop screenshot into Cascade
• Describe feature
• Cascade generates components + styles
• Live preview shows result
• Click element, describe changes
• Cascade auto-fixes linter errors
• Time: ~15 minutes (1 prompt beyond initial)

Cursor:

• Describe feature with reference to mockup
• Tab through implementation
• Use Composer for multi-file coordination
• Alt-tab to browser repeatedly for preview
• Time: ~30 minutes

VS Code:

• Describe feature
• Copilot generates initial code
• Manual copy/paste and refinement
• Alt-tab to browser for preview
• Multiple prompt rounds for iterations
• Time: ~45 minutes

Winner for greenfield features: Windsurf (continuous context + live preview is unbeatable)

Scenario: Debugging Production Bug at 3 AM

VS Code:

• Dev Container reproduces exact prod environment
• Mature debugger with breakpoints
• Copilot helps reason about stack traces
• Systematic step-through debugging
• Result: Fixed reliably

Cursor:

• Dev Container works
• Good debugging support
• AI helps with reasoning
• Result: Fixed reliably

Windsurf:

• No Dev Container (had to debug differently)
• Cascade saw errors automatically
• Suggested fixes quickly
• Result: Fixed but with more uncertainty about prod parity

Winner for production debugging: VS Code (battle-tested tooling matters at 3 AM)

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Pricing Reality

All three are around $20/month for the core paid tier:

VS Code + Copilot:

• Free tier: 2K completions/mo
• Individual: $10/mo
• Business: $19/user/mo
• Enterprise: $39/user/mo

Cursor:

• Free trial: 2 weeks
• Pro: $20/mo (but 500 "fast premium" request limit)
• Business: $40/user/mo

Windsurf:

• Free: 25 credits/mo
• Pro: $20/mo
• Max: $200/mo (for heavy usage)
• Teams: $40/user/mo

Best value for solo dev: Cursor at $20/mo (excellent tab + composer)

Best value for heavy AI usage: Windsurf Pro at $20/mo (includes Devin cloud agent)

Best enterprise value: VS Code Copilot Enterprise (proven compliance, mature tooling)

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The Features Nobody Talks About

Windsurf's Turbo Mode

You can literally tell Cascade "Execute this 12-step workflow" and it will autonomously:

1. Read files
2. Identify changes
3. Make edits
4. Run tests
5. Fix failing tests
6. Commit changes
7. All without asking for confirmation

It's powerful. It's also occasionally terrifying. Once deleted a test file I needed. Had to restore from git.

Use with caution.

Cursor's Privacy Mode

Cursor can run models fully locally. For clients with strict data residency requirements, this is huge.

Neither VS Code Copilot nor Windsurf offer full local execution.

VS Code's Multi-IDE Coverage

Copilot works in:

• VS Code
• JetBrains IDEs
• Visual Studio
• Neovim
• Xcode (limited)

If you're polyglot across IDEs, only VS Code Copilot follows you everywhere.

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MCP Support (Model Context Protocol)

All three support MCP, but with wildly different UX:

VS Code:
Manual JSON config in .vscode/mcp.json:

{
  "servers": {
    "dataverse-skills": {
      "command": "npx",
      "args": ["-y", "@microsoft/dataverse-skills"]
    }
  }
}

Cursor:
Same manual JSON approach. No plugin store.

Windsurf:
Plugin Store with one-click installs for curated servers (Figma, Slack, GitHub, PostgreSQL, etc.)

For custom MCP servers (like Dataverse Skills), all three require manual JSON config.

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Power Platform Developers: Here's What Matters

PCF Controls

Use: VS Code or Cursor (both support Dev Containers)

You need:

• Dev Container for Node version isolation
• Power Platform Tools extension
• Jest + React DevTools
• PAC CLI integration

Windsurf's lack of Dev Containers is a non-starter here.

Dataverse Schema Design

Use: Windsurf or Cursor

With Dataverse Skills MCP server configured:

Windsurf + Cascade applies conventions automatically if you have .windsurfrules:

Publisher prefix: aidevme_
Naming convention: PascalCase for logical names
Relationship naming: Related{EntityName}

Cascade remembers this across sessions.

PAC CLI Workflows

Use: VS Code

Mature terminal integration, Dev Containers for environment consistency, better for scripted workflows.

---

What I Actually Use

I don't pick just one. Multi-editor strategy:

• VS Code: PCF dev, PAC CLI, enterprise work, anything requiring Dev Containers
• Cursor: Daily TypeScript/React feature work, refactoring, learning new codebases
• Windsurf: Dataverse schema design, rapid prototyping, multi-file scaffolding

All three can be open simultaneously. Most extensions and settings transfer seamlessly.

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The Honest Trade-offs

VS Code + Copilot

Choose if:

• You need Dev Containers
• You work across multiple IDEs
• You want maximum stability
• You need enterprise compliance
• You're on 8GB RAM or less

Skip if:

• You're frustrated by prompt overhead
• You want proactive AI behavior
• You need continuous context awareness

Cursor

Choose if:

• You prioritize flow state and tab completion
• You do heavy refactoring work
• You want fast, predictable AI
• You need privacy mode (local execution)

Skip if:

• You need multi-IDE support
• You hit the 500 request/month limit
• You want autonomous agent capabilities

Windsurf

Choose if:

• You want cutting-edge AI capabilities
• You need cloud agent delegation (Devin)
• You have 16GB+ RAM
• You want continuous context awareness

Skip if:

• You need Dev Containers
• You're on 8GB RAM or less
• You want battle-tested tooling
• You prefer explicit control over autonomy

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My Recommendation

If you're starting today:

1. Start with VS Code + Copilot Individual ($10/mo)
2. Master the fundamentals
3. Once comfortable, try Cursor's free trial (2 weeks)
4. If you love Tab completion → stay with Cursor
5. If you want more autonomy → try Windsurf's free tier (25 credits)

If you're experienced:

• Cursor Pro ($20/mo) for solo dev work
• Windsurf Pro ($20/mo) if you have good hardware and want bleeding-edge
• VS Code Copilot if you need enterprise features or multi-IDE

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Discussion Questions for the Community

1. Are you using Cursor or Windsurf? What made you switch from VS Code?

2. Has anyone successfully used Windsurf without Dev Containers? How do you handle environment consistency?

3. Cursor's 500 request limit - have you hit it? How did you work around it?

4. Autonomous AI concerns - how much autonomy are you comfortable with? Have you had Windsurf's Turbo Mode do something unexpected?

5. Multi-editor workflows - is anyone else using multiple editors for different tasks? What's your strategy?

6. MCP adoption - are you using MCP servers? Which ones? What's your experience?

Drop your experiences in the comments. I'm genuinely curious what the community is finding.

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Full deep-dive article: https://aidevme.com/vs-code-vs-windsurf-vs-cursor-my-honest-take-after-6-months-using-all-three/