Elixir Code Review Framework

An AI-powered code review framework for Elixir/Phoenix applications using Claude and MCP servers. This framework provides automated detection of anti-patterns, architectural issues, and code quality problems with targeted suggestions and GitHub integration.

🎯 Overview

This repository provides:

• 26+ individual anti-pattern detection rules organized by category
• Automated PR review workflow using GitHub MCP integration
• Sequential-thinking AI analysis for complex architectural issues
• Real-time cost/time tracking (avg. $2-3k savings per major PR)
• Standardized pattern templates for easy extensibility

📁 Repository Structure

elixir-code-review/
├── patterns/                    # Individual pattern files
│   ├── architectural/          # System-wide patterns
│   ├── file-level/            # Single-file issues  
│   ├── one-liners/            # Quick mechanical fixes
│   └── integrations/          # 3rd party library patterns
├── scripts/                   # Automation tools
├── config/                   # Configuration files
├── docs/                     # Documentation
└── templates/                # Pattern file templates

🚀 Quick Start

# 1. Clone and setup
git clone https://github.com/VMWepinion/elixir-code-review.git
cd elixir-code-review
./scripts/install.sh

# 2. Configure target repository
cp config/repositories.yaml.example config/repositories.yaml
# Edit config/repositories.yaml with your repo details

# 3. Run automated review
./scripts/review-pr.sh --pr-name "Your PR Name"
# Or interactively select from open PRs
./scripts/review-pr.sh --interactive

🎯 Pattern Categories

Architectural Patterns (System-wide)

• Manual authorization bypassing Bodyguard policies
• PubSub data leak vulnerabilities
• Race condition detection
• Configuration anti-patterns
• Import statement violations

File-level Patterns

• Boolean logic errors and tautologies
• Function complexity issues
• Error handling pattern violations
• Module organization problems

One-liner Patterns

• Formatting and style issues
• Variable naming conventions
• Simple mechanical refactors

Integration Patterns

• Ecto: Schema, migration, query anti-patterns
• Phoenix: Controller, PubSub, view patterns
• Mock: Testing and mocking anti-patterns
• Bodyguard: Authorization pattern enforcement
• Postgrex: Database connection and Aurora DSQL patterns

🤖 AI Integration

This framework leverages:

• Claude Code MCP: File system and repository operations
• GitHub MCP: PR analysis and automated commenting
• Sequential-thinking MCP: Complex architectural analysis
• Browser MCP: Documentation and research capabilities

📊 Impact Metrics

• Pattern Library: 26+ documented anti-patterns
• Time Savings: ~8.5 hours per major PR review
• Cost Savings: $2,250-$3,000 per review cycle
• Issue Categories: 4-tier complexity classification
• Detection Methods: Regex, AST analysis, semantic analysis

🔧 Configuration

Key configuration files:

• config/repositories.yaml - Target repositories
• config/severity-levels.yaml - Issue severity definitions
• config/github-templates.yaml - PR comment templates
• config/review-workflow.yaml - Automation workflow settings

📚 Documentation

• Setup Guide - Installation and configuration
• Usage Guide - How to run reviews
• Adding Patterns - Contributing new patterns
• Architecture - System design overview
• Integration Examples - Real-world usage examples

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Add new patterns using templates/pattern-template.md
4. Test with scripts/test-patterns.sh
5. Submit a pull request

📈 Roadmap

• VS Code extension for real-time detection
• CI/CD pipeline integration
• Multi-language support expansion
• Advanced metrics dashboard
• Machine learning pattern discovery

📄 License

MIT License - see LICENSE for details.

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Generated by Claude Code with MCP server integration
Saving time, improving code quality, one pattern at a time ⚡