DevMind is a web-based code analysis tool designed to help developers and students understand, analyze, and improve their code. It supports multiple programming languages and provides insights such as time complexity, space usage, optimization suggestions, and code quality feedback.
This project focuses on combining static analysis, runtime analysis, and intelligent suggestions into a single developer-friendly platform.
Many beginners and even experienced developers struggle with:
- Understanding the performance of their code
- Identifying inefficient logic
- Writing optimized and clean solutions
Most platforms only execute code without explaining why it is slow or how it can be improved. DevMind aims to bridge this gap by acting as a smart code reviewer and learning assistant.
- Analyze source code across multiple languages
- Execute code safely and capture runtime behavior
- Estimate time and space complexity
- Provide optimization and improvement suggestions
- Help users write efficient and clean code
- Multi-language code execution and analysis
- Static code analysis for logic and structure
- Runtime-based performance evaluation
- Automatic time and space complexity estimation
- Optimization hints and improvement feedback
- Beginner-friendly interface for learning
- Python
- Java
- JavaScript
- C++
User Code Input ↓ Static Code Analysis ↓ Secure Code Execution ↓ Runtime & Performance Metrics ↓ Complexity Estimation ↓ Optimization Suggestions
- Parses code structure without execution
- Identifies loops, recursion, and nested logic
- Detects common inefficiencies and bad practices
- Executes code in a controlled environment
- Measures execution time and memory usage
- Collects performance metrics for complexity estimation
- Combines static patterns with runtime data
- Estimates:
- Time Complexity
- Space Complexity
- Suggests logical improvements
- Highlights redundant operations
- Provides cleaner and more efficient alternatives
Frontend
- HTML
- CSS
- JavaScript
- React.js
Backend
- Node.js
- Express.js
- Flask
Analysis & Execution
- Python
- Java
- C++ runtime environments
Additional Tools
- REST APIs
- Git & GitHub
- Static analysis of source code for quality and correctness
- Identifying time and space complexity of algorithms
- Detecting inefficient coding patterns and optimization opportunities
- Learning and improving coding practices for students and developers
- Quick code review assistance for interviews and practice platforms
- Support for additional programming languages
- Integration of advanced ML models for deeper code understanding
- Real-time feedback and suggestions during code writing
- Visualization of performance metrics and execution flow
- Cloud-based deployment for scalable usage