Quicklyzer

Features

Cross-Language & Framework Intelligence (v3.0.0)

• Polyglot analysis supporting JavaScript, TypeScript, Python, Go, Rust, Java, .NET, PHP, C++, C, Ruby, Swift, Kotlin, Dart, and more
• File extension mapping and percentage composition
• Mobile framework detection (Flutter, React Native, iOS Native, Android Native)
• Backend ecosystem detection (Django, Spring Boot, Ruby on Rails, Laravel)

Ecosystem & Monorepo Intelligence (v2.9.0)

• Monorepo tool detection (Lerna, Nx, Turborepo)
• Workspace resolution (Yarn, npm, pnpm Workspaces)
• Cross-package mapping and package discovery
• Ecosystem health evaluation

AI-Assisted Refactoring Suggestions

• Refactor urgency scoring based on impact
• Dangerous React pattern detection (dangerouslySetInnerHTML)
• Potential malicious execution detection (eval())
• Performance bottleneck detection (e.g., await inside loops)
• Technical debt detection (var, any, @ts-ignore)
• Estimated debugging/scaling time savings

Cloud & Deployment Intelligence

• Cloud provider detection (Vercel, Netlify, AWS, Firebase, Google Cloud, Azure, Heroku, Cloudflare)
• Infrastructure as Code (IaC) detection (Terraform, Pulumi)
• Serverless framework detection (Serverless, AWS SAM)
• Deployment readiness score
• Cloud recommendations

CI/CD Intelligence

• CI/CD provider detection (GitHub Actions, GitLab CI, CircleCI, Azure Pipelines, Jenkins)
• Workflow capability analysis (Caching, Tests, Linting, Security, Deployment)
• Workflow quality score
• CI health evaluation
• CI/CD recommendations

Docker & Container Intelligence

• Dockerfile analysis (Base images, exposed ports, volumes)
• Multi-stage build detection
• Container security checks (Non-root user detection, HEALTHCHECK)
• Docker Compose analysis (Services, networks, volumes)
• Kubernetes manifest detection
• Container health score
• Container recommendations

Plugin System

• Dynamic configuration discovery
• Plugin lifecycle hooks (onStart, onFile, onFinish)
• Custom analyzer execution
• Custom metric and warning injection

Project Analysis & Architecture

• Project structure and technology stack detection
• Configuration file discovery
• Circular dependency & dead module detection
• Project complexity insights

Code Metrics

• Cyclomatic and Cognitive complexity calculation
• Maintainability index evaluation
• Long method, God class, and Long parameter list detection
• File complexity ranking
• Code health dashboard

Security Intelligence

• Secret detection and environment file detection
• Dangerous file detection
• Security score and recommendations

Git Intelligence

• Repository health and working tree status
• Recent commits and repository score

Testing & API Intelligence

• Test framework detection and coverage readiness
• REST endpoint, GraphQL, WebSocket, and OpenAPI detection
• API routing and middleware analysis

Build Intelligence

• Build system detection and output analysis
• Tree shaking, code splitting, and bundle analysis
• Production readiness

AI Project Intelligence

• Executive project summary
• Strength and weakness analysis
• Maintainability and Scalability scores
• Technical debt estimation and risk assessment
• Improvement roadmap and AI grade

Installation

Global

npm install quicklyzer

NPX

npx quicklyzer scan

Commands

Scan Project

npx quicklyzer scan

Analyze the current project and generate a complete engineering report.

Version

npx quicklyzer version

About

npx quicklyzer about

Example

npx quicklyzer scan

Output:

Project
Environment
Dependencies
Architecture
Package Health
Testing
API
Build
Security
Git
Documentation
Code Metrics
CI/CD Intelligence
Docker & Container Intelligence
Cloud & Deployment Intelligence
Plugin System
Ecosystem & Monorepo Intelligence
Cross-Language & Framework Intelligence
AI-Assisted Refactoring Suggestions
AI Executive Dashboard

Requirements

• Node.js >= 20
• npm

Installation Verification

npx quicklyzer version

Why Quicklyzer?

Quicklyzer helps developers understand a project instantly.

Instead of manually checking dozens of files, Quicklyzer scans your project and provides:

• Engineering insights across multiple languages
• Code structure & complexity metrics
• Security analysis
• CI/CD, Docker, and Cloud deployment readiness
• Monorepo workspace mapping
• AI-driven refactoring suggestions
• Extensible plugin support
• Git health
• AI-powered project assessment

Contributing

Contributions are welcome.

Please read:

• CONTRIBUTING.md
• CODE_OF_CONDUCT.md

Security

Please read SECURITY.md before reporting vulnerabilities.

Changelog

See CHANGELOG.md

License

MIT License

Author

Sabtain Ali

GitHub: https://github.com/sabtain05