Cursor

Cursor is a comprehensive AI coding assistant designed to help developers build complex software using multiple advanced models.

🛡️ OUR SCORES ARE INDEPENDENT & READER SUPPORTED

We never accept payment for product scores, placements, or rankings. Scores are derived strictly from verified facts.

All criteria & scores

10 criteria · Scored based on your profile: Expert · Vibe Coder · Individual developer
⚡ How we score
CriteriaClaude CodeCursorGammaGitHub Copilot
⚙️
Code Editing Quality
Accuracy, context, refactoring
9.8/107.0/103.0/109.2/10
🤖
AI Agent Capabilities
Autonomy, task completion
8.8/106.0/102.5/108.8/10
💻
Terminal / Workflow Fit
CLI shortcuts, flow
9.7/106.1/102.0/107.5/10
Performance & Speed
Response time, efficiency
9.3/107.0/103.5/108.8/10
🔌
Integration & Ecosystem
Tools, extensions, platforms
8.9/108.0/103.0/109.8/10
🏷️
Pricing & Value
Cost vs what you get
9.0/106.5/102.5/108.5/10
🔒
Privacy & Data Control
Data handling, privacy
8.5/108.1/104.0/107.8/10
📚
Documentation & Learning
Ease to learn & resources
9.5/107.0/104.0/108.8/10
🛡️
Reliability & Stability
Uptime, bugs, consistency
9.2/106.5/102.5/107.5/10
🎯
Use Case Fit (Your Profile)
Expert · Vibe Coder · Individual
9.7/106.8/102.5/109.8/10
Overall Score Out of 10097/10043/10012/10095/100

What the scores mean for you

Best fit for your profile
Claude Code and GitHub Copilot score highest for your needs.
Top pick: Claude Code
Lower fit
Gamma is not recommended for your profile and use case.
Why: Limited developer-focused capabilities.

Detailed strengths & weaknesses

Claude Code

97/100
Strengths
  • Exceptional code understanding
  • Powerful autonomous agent
  • Perfect terminal integration
  • Built for developers
  • Strong privacy by design
Weaknesses
  • Higher price point
  • Learning curve for new users
View full analysis →

Cursor

43/100
Strengths
  • Great UI and developer UX
  • Fast inline suggestions
  • Good multi-file edits
Weaknesses
  • Privacy concerns for some
  • Subscription required
  • Not fully autonomous
View full analysis →

Gamma

12/100
Strengths
  • Beautiful slide generation
  • Fast text to presentation
  • Easy to use
Weaknesses
  • Not a code tool
  • Limited customization
  • Not for developers
View full analysis →

GitHub Copilot

95/100
Strengths
  • Widely supported
  • Great IDE integration
  • Mature & reliable
  • Broad language support
Weaknesses
  • Less autonomous
  • Limited context vs agents
View full analysis →

Where this page's facts come from

9 sources actually cited on this page. Every fact below links to the exact sentence it came from.

📰
Press & review sites
finance.yahoo.com, strac.io, techcrunch.com +1 more
📄
The maker's own pages
Anysphere, cursor.com
🔬
Independent tests & audits
Cursor Engineering Team
💬
Community discussion
Reddit Community
Video reviews
youtube.com

Where the score comes from

Breakdown for: Small team

No rounding, no editorial nudge. Each fact carries an evidence-weighted impact multiplier (Maker claims count 70%; Laboratory measurements count 100%).

The fact, and the words it came fromEvidenceSumEffect
Every product starts here — neither good nor bad50
Team Plan Price
The standard team plan costs $40 per person each month and is designed for small teams that work together and require central management tools.
Get Pro Teams $40 / user / mo. Standard Premium Everything on Individual, plus: ✓ Centralized team billing and administration ✓ Team marketplace for internal rules, skills, and plugins ✓ Agentic code reviews with Bugbot ✓ Cloud agents and automations with shared team context ✓ Usage analytics to understand team behavior ✓ Team-wide privacy mode ✓ SAML/OIDC SSO
the maker's own claim
counts 70%
+12 × 0.70+8.4
Autonomous Agents
Specialized AI agents can build, test, and demonstrate complicated software or features autonomously, allowing developers to review the finished work later.
Agents use their own computers to build, test, and demo features end to end for you to review.
the maker's own claim
counts 70%
+10 × 0.70+7.0
Codebase Indexing
Indexes your entire repository so the AI answers questions with complete context across all files.
Cursor indexes your repository locally to supply precise codebase context across multi-file edits and composer mode.
the maker's own claim
counts 70%
+10 × 0.70+7.0
Multi Model Choice
Lets you choose the best LLM model for each specific task without leaving your editor.
Switching between Claude 3.5 Sonnet and GPT-4o inside one editor interface is seamless.
independently measured
counts 100%
+6 × 1.00+6.0
Fit for “Small team”50 + 28.4 = 78

A score measures fit for a situation, not quality in the abstract. The same product can score 99 for one person and 43 for another without either number being wrong.