The AI editor and app builder landscape is crowded and confusing. This comparison cuts through the noise — which tool is actually best for which specific use case?
AI Editors Compared
Zed AI vs. Cursor vs. Windsurf
| Feature | Zed AI | Cursor | Windsurf |
|---|---|---|---|
| Editor performance | Excellent (Rust) | Good (VS Code fork) | Good (VS Code fork) |
| AI agentic mode | Basic | Composer (mature) | Cascade (ambient) |
| Tab completion | Good | Very good | Good (Codeium) |
| Model options | Multiple | Multiple | Multiple |
| Collaborative editing | Built-in real-time | None | None |
| Extension ecosystem | Growing | Large (VS Code) | Large (VS Code) |
| Price | Free + API costs | ~$20/month Pro | ~$15/month Pro |
| Platform | Mac, Linux | Mac, Win, Linux | Mac, Win, Linux |
Choose Zed for editor performance and collaborative editing. Choose Cursor for the most mature AI editing experience. Choose Windsurf for ambient AI that watches and assists proactively.
Continue vs. Copilot (as VS Code extensions)
| Feature | Continue | Copilot |
|---|---|---|
| Model freedom | Any provider, any model | OpenAI/GitHub models |
| Open-source | Yes | No |
| Tab completion | Yes (configurable model) | Yes (tuned) |
| Chat | Yes | Yes |
| Price | Free + API costs | $10/month (free tier available) |
| GitHub integration | No | Deep (PRs, issues) |
| Custom instructions | Full config.json | .github/copilot-instructions.md |
Choose Continue for model freedom and zero subscription cost. Choose Copilot for GitHub integration and the easiest setup.
JetBrains AI Assistant
If you use IntelliJ, PyCharm, WebStorm, or GoLand, the AI Assistant is the natural choice. It integrates with JetBrains’ existing code analysis (type inference, refactoring tools, inspections) which gives AI suggestions better context than starting from scratch.
Choose JetBrains AI if you’re already in the JetBrains ecosystem and don’t want to switch. The AI features are solid, though not at Cursor’s level for agentic multi-file editing.
App Builders Compared
v0 vs. Bolt vs. Lovable vs. Replit Agent
| Feature | v0 | Bolt | Lovable | Replit Agent |
|---|---|---|---|---|
| Best for | UI components | Full-stack scaffolds | Polished MVPs | Deployed prototypes |
| Output | React/Next.js code | Full project | Full project + deploy | Full project + hosting |
| Design quality | High | Medium | Very high | Medium |
| Backend support | None | Yes | Yes | Yes (with DB) |
| Deployment | Copy code to your project | Download/clone | Built-in | Built-in |
| Iteration | Prompt refinement | Chat-based edits | Visual + chat | Chat-based edits |
| Price | Free tier + paid | Free tier + paid | Free tier + paid | Free tier + paid |
Choose v0 when you need high-quality React UI components to drop into your existing project.
Choose Bolt when you need a full-stack scaffold quickly and plan to continue development locally.
Choose Lovable when the prototype needs to look production-ready immediately — client demos, investor presentations, stakeholder reviews.
Choose Replit Agent when you need something deployed and accessible via URL within the hour and don’t want to deal with hosting.
When App Builders Work vs. When They Don’t
App builders work well for:
- Landing pages and marketing sites
- Internal tools with standard CRUD patterns
- MVPs and prototypes for feedback
- Hackathon projects
- Learning how full-stack apps are structured
App builders fall short for:
- Complex business logic specific to your domain
- High-performance applications
- Applications with complex auth and permissions
- Projects that need to integrate with existing systems
- Anything that needs to scale to production traffic
The smart workflow: use an app builder for the 0-to-1 phase, then move to your regular editor and tools for 1-to-production.
MCP: The Integration Standard
Model Context Protocol deserves its own mention because it’s not a tool — it’s a standard that makes all tools better.
Which tools support MCP:
- Claude Code — full MCP support
- Cursor — MCP support
- Windsurf — MCP support
- Continue — MCP support (community servers)
- Aider — growing support
What MCP enables:
Connect your AI tools to databases, APIs, issue trackers, documentation systems, and any custom service. Instead of copy-pasting context, MCP feeds it automatically.
The implication: The tools that support MCP have a growing advantage because their capabilities expand with every new MCP server that’s built. This is worth weighing in your tool choice.
The Honest Summary
The landscape is wide but the decision often simplifies to:
- Pick a primary editor — Cursor if AI-first, VS Code + Copilot/Continue if familiar, Zed if performance
- Add a terminal agent if you do complex tasks — Claude Code or Aider
- Use app builders for prototyping only — v0 for UI, Bolt/Lovable for full-stack
- Evaluate cloud-specific tools if you’re deep in AWS (Q Developer) or GCP (Gemini)
Don’t try to use everything. Pick 2-3 tools that cover your workflow and learn them deeply.
What’s your current tool combination? Has an app builder surprised you with what it can do? 