Cursor vs Windsurf vs Aider: AI Coding Tools Compared

AI coding assistants have evolved beyond autocomplete. Cursor, Windsurf, and Aider represent three different philosophies - IDE integration, AI-first editor, and CLI-native. We used all three for production development work to find the practical differences.

Quick verdict

Our recommendation: Cursor is the most polished and capable for most developers. Use Aider if you prefer CLI workflows or need maximum model flexibility. Try Windsurf if you want Codeium's vision of AI-first development.

Cursor

Overview

Cursor is a VS Code fork with deep AI integration. It maintains VS Code compatibility while adding AI-native features like Composer for multi-file edits.

Key features

Composer: Multi-file editing in a chat interface:

Prompt: "Add authentication middleware to all API routes"

Cursor analyzes your codebase, identifies route files, and proposes changes across:
- middleware/auth.ts (new file)
- routes/users.ts (modified)
- routes/posts.ts (modified)
- routes/comments.ts (modified)

Accept all, reject specific files, or iterate on the implementation.

Tab autocomplete: Context-aware suggestions using codebase knowledge.

Chat with codebase: Ask questions about your code, get explanations with file references.

Terminal integration: AI can suggest and execute terminal commands.

Strengths

Multi-file awareness: Composer understands changes that span multiple files and coordinates them intelligently.

VS Code compatibility: Existing extensions, themes, and keybindings work.

Fast autocomplete: Notably faster than GitHub Copilot in our testing.

Codebase indexing: Deep understanding of your project structure and patterns.

Weaknesses

Expensive: $20/month after trial, no free tier.

Model limitations: Primarily GPT-4 and Claude, limited model selection.

Occasional over-confidence: Sometimes makes larger changes than requested.

Privacy questions: Code sent to external servers (can disable).

Pricing

Premium requests (GPT-4, Claude) limited. Falls back to faster models when quota exceeded.

Windsurf

Overview

Windsurf is Codeium's standalone AI-first editor. It emphasizes "Flows" - multi-step agentic coding workflows that understand context deeply.

Key features

Cascade (chat): Conversational coding with deep codebase awareness:

You: "The login form isn't validating email properly"

Windsurf:
1. Locates LoginForm.tsx
2. Identifies validation logic
3. Spots regex issue
4. Proposes fix with explanation
5. Shows you the diff

You can accept, modify, or ask follow-ups.

Flows: Multi-file refactoring and feature implementation:

You: "Migrate from Redux to Zustand"

Windsurf Flow:
- Analyzes Redux usage across codebase
- Creates Zustand stores matching Redux structure
- Refactors components to use new stores
- Updates tests
- Removes Redux dependencies

Steps through changes incrementally with approval points.

Supercomplete: Advanced autocomplete with multi-line awareness.

Strengths

Context awareness: Windsurf's context gathering is notably better than competitors. It finds relevant files you didn't explicitly mention.

Free tier: Generous free usage makes it accessible.

Model variety: Supports GPT-4, Claude, and Codeium models.

Fast iteration: Quick to accept/reject changes and keep iterating.

Weaknesses

Newer platform: Less mature than VS Code ecosystem.

Extension compatibility: Not all VS Code extensions work.

Stability: Occasional crashes and performance issues.

Learning curve: Flows are powerful but require understanding the mental model.

Pricing

More affordable than Cursor with a viable free tier.

Aider

Overview

Aider is a terminal-based AI coding assistant. It works with any editor by making Git commits as it implements changes.

Key features

Git-native workflow:

$ aider --model gpt-4o

Aider v0.50.0
Model: gpt-4o with diff editing
Git repo: main branch

> Add type hints to all functions in utils.py

Aider: I'll add type hints to utils.py

--- utils.py
+++ utils.py
@@ -1,4 +1,5 @@
-def process_data(data):
+from typing import Dict, List, Any
+
+def process_data(data: Dict[str, Any]) -> List[str]:
     return [item['name'] for item in data]

Commit this change? (y/n/d/edit)

Each change is a Git commit. You can review, edit, or reject.

Model flexibility: Works with any LLM API:

# Use Claude
$ aider --model claude-3-5-sonnet

# Use local Ollama
$ aider --model ollama/codellama

# Use Azure OpenAI
$ aider --model azure/gpt-4

Editor agnostic: Works alongside Vim, Emacs, VS Code, or any text editor.

Strengths

Model choice: Best model flexibility - use any provider, including local models.

Terminal-native: Fits seamlessly into CLI-heavy workflows.

Git integration: All changes are proper commits with messages.

No vendor lock-in: Open source, runs locally, use any editor.

Weaknesses

No GUI: Command-line only. Less approachable for GUI-preferring developers.

Context management: Requires explicit file specification. No automatic codebase indexing.

Setup overhead: Requires API keys, configuration.

Less polish: More rough edges than commercial alternatives.

Pricing

Cheapest option if you're careful with API usage. Can use local models for zero cost.

Feature comparison

Performance testing

We implemented the same feature (user authentication) with each tool:

Task: Add JWT authentication to Express API

Cursor:

• Time: 12 minutes
• Iterations: 2 (initial + refinement)
• Files modified: 4
• Quality: Excellent
• Needed manual fixes: 1 (env variable reference)

Windsurf:

• Time: 15 minutes
• Iterations: 3 (Flow needed guidance)
• Files modified: 5 (added middleware tests)
• Quality: Very good
• Needed manual fixes: 2 (import paths, test assertion)

Aider:

• Time: 18 minutes
• Iterations: 4 (explicit file-by-file)
• Files modified: 4
• Quality: Very good
• Needed manual fixes: 1 (forgot to export middleware)

All three completed the task successfully. Cursor was fastest, Aider required most interaction.

Use case recommendations

Full-stack web development

Winner: Cursor

Multi-file Composer shines for frontend + backend changes. Best balance of speed and accuracy.

Terminal-heavy workflows

Winner: Aider

If you live in the terminal and prefer Vim/Neovim, Aider fits your workflow. Git-native approach aligns with command-line development.

Budget-conscious individual

Winner: Windsurf (free) or Aider

Windsurf's free tier is generous. Aider with careful API usage can be cheaper than $20/month subscriptions.

Enterprise team

Winner: Cursor

Most polished, best onboarding experience, team features available.

Model flexibility needed

Winner: Aider

Only option that lets you use any model, including self-hosted.

Learning to code with AI

Winner: Cursor or Windsurf

GUI interfaces are more approachable than Aider's CLI.

Migration and switching

From GitHub Copilot to Cursor

1. Install Cursor from cursor.sh
2. Import VS Code settings (automatic prompt)
3. Configure API key
4. Disable Copilot to avoid conflicts
5. Learn Cmd+K (chat) and Cmd+I (inline edit)

Most VS Code users adapt within hours.

From Cursor to Aider

# Install
pip install aider-chat

# Configure (add to ~/.bashrc)
export OPENAI_API_KEY=your_key

# Use in any project
cd your-project
aider

Requires terminal comfort but unlocks model flexibility.

Our verdict

Cursor is the most capable tool for professional development work today. Composer's multi-file awareness and VS Code compatibility make it the best all-around choice. The $20/month cost is justified by productivity gains.

Windsurf shows promise with excellent context awareness and a viable free tier. The Flow-based approach is innovative. But stability issues and incomplete extension support hold it back. Worth trying, especially if you're cost-sensitive.

Aider fills a specific niche brilliantly. For terminal-native developers who want model flexibility and Git-first workflows, it's excellent. The open-source model and API cost control are compelling for individuals and teams with specific requirements.

For most developers, start with Cursor. Try Windsurf's free tier to compare. Keep Aider in mind if you need model flexibility or prefer CLI tools.

The AI coding assistant landscape is evolving rapidly. Expect these tools to leapfrog each other frequently. Re-evaluate annually.

Further reading:

• /blog/github-copilot-vs-cursor-vs-codeium-ai-coding
• /blog/github-copilot-workspace-autonomous-dev-ga
• Cursor Documentation
• Windsurf Documentation
• Aider Documentation