Overview
CodeSage is an intelligent code review assistant that combines static code analysis with machine learning to help developers write better code. It analyzes codebases to identify potential issues, suggest improvements, and enforce best practices automatically.
Key Features
- Automated Code Analysis: Parses source code using Abstract Syntax Trees (AST) to understand code structure and identify patterns
- Best Practice Detection: Identifies deviations from coding standards and suggests improvements
- Security Scanning: Detects common security vulnerabilities like SQL injection, XSS, and insecure dependencies
- Performance Insights: Highlights potential performance bottlenecks and suggests optimizations
Technical Architecture
The system uses a Flask backend with Redis for caching analysis results and PostgreSQL for storing historical data. NLP techniques are applied to understand code comments and documentation quality.
Use Cases
- Pre-commit code quality checks
- CI/CD pipeline integration for automated reviews
- Team-wide coding standard enforcement
- Onboarding assistance for new developers