Adaptive-Code-Intelligence-Engine

🧠 AI-Powered Code Analysis & Personalized Development Assistance

Learn your patterns, predict bugs, suggest optimizations - all on your mobile device

---

🚀 What It Does

• 🔍 Advanced Code Analysis - AST-based parsing with comprehensive quality scoring
• 🐛 Bug Prediction - Proactive identification of potential issues before they happen
• 💡 Smart Suggestions - Context-aware optimization and refactoring recommendations
• 👤 Developer Profiling - Learns your coding style and adapts suggestions accordingly

⚡ Quick Start

# Run the comprehensive demo
python adaptive_code_intelligence_mvp.py

# Analyze your code
aci = AdaptiveCodeIntelligence()
analysis = aci.analyze_file("your_script.py")
print(f"Quality Score: {analysis['code_quality_score']:.1f}/100")

🎯 Key Features

Feature	Description
Pattern Recognition	Learns from your coding patterns and evolves suggestions
Quality Scoring	Comprehensive 0-100 code quality assessment
Bug Detection	Identifies potential issues with confidence scoring
Performance Optimization	Suggests improvements for better code efficiency

📊 Demo Results

=== Adaptive Code Intelligence Engine MVP Demo ===

✓ Analysis complete. Quality score: 85.2/100
Patterns Learned: 15
Bug Predictions: 23  
Suggestions Generated: 12
Files Analyzed: 3

Bug Predictions (8 found):
  1. Line 12: bare_except (high confidence: 0.85)
     Fix → Specify exception types instead of bare except

  2. Line 3: unused_variable (medium confidence: 0.65)  
     Fix → Remove unused variable or add underscore prefix

Code Suggestions (4 found):
  1. Optimization: repeated_calculation (confidence: 0.80)
     Suggestion → Cache expensive calculations to improve performance

🎯 Use Cases

• Personal Development - Track code quality improvement and learn best practices
• Team Code Review - Automated quality assessment and consistency checking
• Educational Use - Student code assessment with personalized feedback
• Enterprise Quality Gates - Integrate into CI/CD for automated quality thresholds

🧠 Adaptive Intelligence

Learns Your Style:

• Documentation preferences
• Function complexity patterns
• Error handling approaches
• Optimization priorities

Evolves Over Time:

• Pattern recognition improves with more code
• Suggestions become more personalized
• Bug predictions get more accurate
• Quality scoring adapts to your standards

📱 Mobile-First Design

• Zero Dependencies - Pure Python with standard library only
• Efficient Processing - Sub-second analysis for typical files
• Local Storage - All analysis data stays on your device
• Battery Conscious - Minimal computational overhead

Tested on: Samsung Galaxy S24 with Pydroid 3

📁 Files

• adaptive_code_intelligence_mvp.py - Complete AI analysis system
• README.md - Comprehensive technical documentation
• LICENSE - MIT License

🏆 Technical Excellence

This project demonstrates expertise in:

• AST-Based Code Analysis with comprehensive metric extraction
• Machine Learning Pattern Recognition with adaptive learning
• Mobile-Optimized Architecture for resource-constrained environments
• Predictive Modeling for proactive bug detection and quality assessment

👤 About the Author

Justin Lane
🔗 GitHub: @aiwithjusl
🔗 LinkedIn: Justin Lane
📬 Email: aiwithjusl.dev@gmail.com

---

**⭐ Star this repo if you find it useful! ⭐** *Built for senior-level software engineering and AI consulting opportunities.*

This site is open source. Improve this page.