Cursor vs Continue.dev

Detailed side-by-side comparison to help you choose the right tool

Cursor

🔴Developer

AI Coding Assistant

Cursor is an AI coding IDE with Agent mode, Tab completions, cloud agents, Bugbot, MCP support, skills, hooks, and team controls.

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Starting Price

Custom

Continue.dev

🔴Developer

AI Coding Assistant

Continue.dev runs source-controlled AI checks on pull requests, using markdown rules in your repo to enforce engineering standards through GitHub status checks and suggested fixes.

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Starting Price

Custom

Feature Comparison

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FeatureCursorContinue.dev
CategoryAI Coding AssistantAI Coding Assistant
Pricing Plans192 tiers4 tiers
Starting Price
Key Features
  • AI code editor with agent requests and Tab completions
  • Cloud agents plus terminal, Slack, and GitHub workflows
  • MCPs, skills, hooks, and frontier model access on paid plans
  • Multi-model AI support including OpenAI, Claude, Gemini, and local models
  • Native IDE extensions for VS Code and JetBrains with smooth workflow integration
  • MCP server connectivity for development toolchain integration

💡 Our Take

Choose Continue.dev if you want to keep your existing VS Code or JetBrains setup, prefer open source, or need PR-check enforcement on top of in-IDE assistance. Choose Cursor if you want a polished proprietary editor experience with deep agentic features baked in and don't mind switching IDEs or paying $20/user/month.

Cursor - Pros & Cons

Pros

  • Excellent daily-driver fit for developers who want agentic edits inside an editor
  • MCP, skills, and hooks make it extensible beyond plain chat
  • Team plan adds privacy mode, SSO, analytics, and shared context
  • Free Hobby plan is enough to test workflow fit before paying

Cons

  • Usage-based model access can make heavy agent work less predictable
  • Teams still need code review because agentic edits can be broad
  • Editor migration may be disruptive for developers committed to another IDE
  • Enterprise-grade controls require higher plans

Continue.dev - Pros & Cons

Pros

  • Source-controlled checks make engineering standards reviewable, versioned, and reusable across repositories.
  • Focuses on standards you define rather than noisy generic AI review comments, which should reduce reviewer fatigue.
  • GitHub status checks fit naturally into existing pull-request workflows and branch protection rules.
  • Pricing is publicly listed for Starter and Team: $3 per million tokens or $20 per seat per month.
  • Suggested fixes keep humans in the decision loop instead of silently changing code.
  • Useful complement to deterministic tools like linters, tests, Sentry monitoring, and Snyk security scanning.

Cons

  • Quality depends heavily on how specific and well-tested each markdown check prompt is.
  • The current public positioning is GitHub PR-centric, so GitLab, Bitbucket, and custom CI users should verify support manually.
  • Not a full static-analysis or security scanner replacement; it should sit alongside tools such as Snyk, Semgrep, and tests.
  • Usage-based token pricing on Starter can be harder to forecast for repositories with heavy PR volume.
  • Company-level controls such as SAML/OIDC SSO, BYOK, invoicing, and SLA require custom pricing.

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