Comparison guide

Cursor vs Windsurf

Both are AI-first coding environments; compare workflow fit, limits, and current plan details.

Choose Cursor if:

Choose Cursor if its editor workflow matches how your team already codes.

Choose Windsurf if:

Choose Windsurf if its agentic workflow performs better on your real tickets.

Watch out for:

windsurf.com/pricing currently redirects to devin.ai/pricing, so treat Windsurf pricing as Devin/Cognition pricing until verified again.

Comparison table

DimensionCursorWindsurf
Pricing postureHobby Free, Individual Pro $20/month, Teams $40/user/month, Enterprise custom.Free $0, Pro $20/month, Max $200/month, Teams $80/month plus $40/month per full dev seat, Enterprise let's talk.
Best forAI-first editor workflows with frontier model access and team controls.Agentic coding workflows, cloud agents, and higher-quota plans.
Developer experienceEditor-native agents, MCPs, skills, hooks, cloud agents, and Bugbot.Agent-oriented coding with frontier models and extra usage at API pricing.
Limits / uncertaintyIncluded model usage and on-demand usage can affect total cost.Costs vary by model, task complexity, reasoning, and extra usage at API pricing.
Source confidencehighmedium
StackLens assessment

Editor workflow fit

StackLens assessment: both products should be tested on real tickets because workflow fit depends on repo size, review habits, and how much agent work the team wants in the editor.

Decision areaCursorWindsurfGuidance
Repo-wide editsMay fit teams that want repo-aware editing inside a familiar AI-first editor workflow.Worth testing when agentic changes across a repo are central to the trial.StackLens assessment: compare review quality, not just number of changed files.
Agent workflowMay fit teams that want agents alongside editor-native chat and autocomplete.Better suited when the trial emphasizes agent workflow and cloud-agent style tasks.Use the same backlog item in both tools before deciding.
Review flowWorth testing for developers who prefer tight editor feedback loops.Worth testing for teams evaluating larger agent-produced changes.StackLens assessment: require human review either way.
Model flexibilityTracked pricing notes mention frontier model access and on-demand usage after included usage.Tracked pricing notes mention access to OpenAI, Claude, and Gemini frontier models on paid plans.Verify current model access and limits on official pricing pages.
Team onboardingMay fit teams willing to adopt an AI-first editor as the main workflow.May fit teams trialing agent workflows before broader standardization.Pilot with a small team before switching a full engineering org.
Switching frictionSwitching friction comes from editor migration, settings, extensions, and team habits.Switching friction comes from workflow changes, plan verification, and current product routing.StackLens assessment: document the switching cost before comparing monthly price.

Best use cases

  • AI editor shortlist
  • small-team coding trials
  • repo-editing workflow comparison

Tradeoffs

  • Tool fit depends heavily on repo size, coding style, and review habits.
FAQ

Questions teams ask before choosing

How do I pick?

Use the same real issue set in both tools and measure review quality, not just speed.