Comparison
Cursor vs Windsurf vs Cline
Cursor, Windsurf, and Cline all help developers code with AI, but they fit different workflows: polished AI IDEs, agentic editor assistance, and configurable open tooling.
Quick verdict
Choose Cursor for the most polished AI coding IDE experience. Choose Windsurf if you want a similar IDE-style workflow with its own agent features. Choose Cline if you want a more open, VS Code-centered coding agent with stronger control over models, tool calls, and reviewable file edits.
Feature table
Pricing and cost model
Pricing, usage limits, included models, and team plans change often, so verify current pricing on each vendor site before standardizing. For budgeting, think in three buckets: editor subscription cost, model/API usage cost, and the review time required to validate agent-generated changes.
Local and open-model workflows
Cline is the most natural fit when you want explicit control over model providers, local endpoints, and reviewable agent actions. Cursor and Windsurf are polished commercial IDE-style products, so local and open-model workflows depend on their current provider settings and supported integrations.
Real task examples
- Ask each tool to explain a new repository and identify the main entry points.
- Make a small UI copy change and compare the generated diff.
- Add one focused test around existing behavior.
- Refactor one repeated helper while preserving public routes.
- Connect an MCP server or local model endpoint and review the tool-call flow.
Choose Cursor if
- You want a polished AI coding environment with minimal setup.
- You are comfortable with a commercial editor workflow.
- You value autocomplete, chat, refactors, and repo awareness in one product.
Choose Windsurf if
- You want an AI IDE workflow and want to compare alternatives to Cursor.
- You like agent-style assistance but still want a polished app experience.
- Your team is evaluating commercial AI coding tools before standardizing.
Choose Cline if
- You want a VS Code agent that can make explicit, reviewable edits.
- You care about configurable providers and open tooling.
- You want to test local or self-hosted models in coding-agent workflows.
Safety checklist for coding agents
- Run agents in git repos with clean commits before major edits.
- Review every diff before accepting changes.
- Do not let agents run destructive commands without approval.
- Use test branches for large refactors.
- Keep API keys and credentials out of prompts and repo files.
What about Continue, Roo Code, and Kilo Code?
Continue, Roo Code, and Kilo Code are worth testing when you want more open, configurable, or extension-based workflows. Continue is strong for IDE-native assistance, Roo Code is a Cline-family coding agent with alternate modes, and Kilo Code is another VS Code agent option to compare on your own repo tasks.