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AI Code Complexity Analyzer

Intelligently analyze code complexity with cyclomatic complexity, maintainability index and more metrics to optimize code quality

Analyzer Interface

Interactive analyzer will be available soon

Features

  • ✓ Supports complexity analysis for 50+ programming languages
  • ✓ Calculates cyclomatic complexity, cognitive complexity, maintainability index
  • ✓ Auto-identifies code hotspots and refactoring suggestions
  • ✓ Visualize code dependency graphs
  • ✓ Supports batch analysis and team collaboration reports

How to Use

  1. Paste code or upload project files
  2. Select programming language (auto-detection supported)
  3. Click analyze to view complexity report
  4. Optimize code structure based on suggestions

FAQ

What is cyclomatic complexity?

Cyclomatic Complexity measures the number of independent execution paths in code. Higher values mean more complex code that's harder to test and maintain. Generally, keep single function complexity under 10.

What programming languages are supported?

Supports 50+ mainstream languages including Python, JavaScript, TypeScript, Java, C/C++, Go, Rust, Ruby, PHP, Swift, Kotlin and more.

Are the analysis results accurate?

Based on mature static analysis algorithms with 99%+ accuracy. Combined with AI analysis for deeper code quality insights and optimization suggestions.

Can I analyze entire projects?

Yes. Supports uploading ZIP project files or connecting GitHub repositories for full project analysis, generating module-level complexity reports.

How to reduce code complexity?

Common methods include: splitting large functions, reducing nesting levels, using early returns, extracting common logic into separate functions, following single responsibility principle. The tool provides specific refactoring suggestions.