AI Code Review Pro

AI Code Review Pro is a powerful, extensible CLI tool and GitHub Action that automates code review using OpenAI’s language models. It helps teams maintain code quality, enforce style guidelines, and catch potential bugs before merging.

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🛠️ Features

• Modular Architecture: Core engine, CLI layer, plugin system and output handlers are decoupled.
• Multi-Language Support: JavaScript, TypeScript, Python, Go, Rust, Java (easily extendable).
• Plugin System: Write and share custom linting and style rules.
• Flexible Outputs: Terminal, JSON, HTML, Markdown report formats.
• Configurable Thresholds: Control sensitivity for style, security and best-practice suggestions.
• GitHub Action: Automatically review pull requests on opened, synchronize, or reopened events.
• Detailed Logs & Metrics: Structured logging via Winston, metrics for review duration and issue counts.
• Built-In Testing: Jest-based test suite to validate parser and plugin behavior.

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📋 Prerequisites

• Node.js v16 or later
• npm v8 or later
• An OpenAI API Key (GPT-4 capable)
• GitHub repository with main branch

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🔧 Installation

1. Clone the repository

   git clone https://github.com/icelaterdc/AI-Code-Review-Pro.git
   cd AI-Code-Review-Pro

2. Install dependencies

   npm install

3. Copy environment template

   cp .env.example .env

4. Set your OpenAI key in .env

   OPENAI_API_KEY=sk-...
   

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⚡ Quick Start

1. Initialize default configuration

   npx AI-Code-Review-Pro init

2. Run a review on your source folder

   npx AI-Code-Review-Pro review src/ --output html,json

3. View report

   • Terminal output summarized
   • review-report.html autogenerated in project root

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💻 CLI Usage

Usage: ai-review-pro [options] [command]

Commands:
  review <path>       Review code at specified file or directory
  init                Generate default `aireview.config.js`
  plugin:install <plugin>
                      Install a plugin from npm or local path
  help [command]      Display help for command

Options:
  -V, --version       output the version number
  -h, --help          display help for command

Examples

• Review single file

  npx AI-Code-Review-Pro review src/index.js

• Review with JSON output

  npx AI-Code-Review-Pro review src/ -o json

• Install community plugin

  npx AI-Code-Review-Pro plugin:install @my-org/review-plugin-security

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⚙️ Configuration

Default config file: aireview.config.js in project root.

module.exports = {
  openaiModel: 'gpt-4o-mini',    // Model name
  threshold: 0.75,               // Confidence threshold (0.0 - 1.0)
  languages: ['js','ts','py'],   // Extensions to review
  output: ['terminal','html'],   // Output formats
  plugins: [                     // Plugins to load
    './plugins/sample-plugin.js'
  ],
  rules: {                       // Built-in rule overrides
    'no-todo-comments': true,
    'max-line-length': 120
  }
};

• openaiModel: Change to any supported OpenAI model.
• threshold: Lower thresholds generate more suggestions.
• languages: File extensions to include.
• output: terminal, json, html, markdown.

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🧩 Plugin Development

Create a plugin by extending the base Plugin class:

import { Plugin } from 'ai-review-pro/src/plugins/base.js';

export default class MyCustomPlugin extends Plugin {
  apply(review) {
    const { text, issues } = review;
    if (/eval\(/.test(text)) {
      review.addIssue({
        message: 'Avoid using eval(), it may introduce security risks.',
        severity: 'error',
      });
    }
  }
}

• Place plugin file under plugins/
• Reference in plugins array of config
• Plugins can manipulate review.issues and metadata

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📊 Outputs & Reports

• Terminal: Colorized summary
• JSON: Raw data for integrations
• HTML: Styled report with sections per file
• Markdown: For GitHub PR comments

All reports are saved in ./review-report.[ext] by default.

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📈 Logging & Metrics

Using Winston for structured logs:

{
  level: 'info',
  transports: [new winston.transports.Console()]
}

Metrics collected:

• Review start/end timestamps
• Files processed count
• Total issues found

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🧪 Testing

Run unit tests:

npm test

Includes parser and plugin behavior tests. Coverage reports generated under coverage/.

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🤗 Contributing

1. Fork the repo
2. Create feature branch: git checkout -b feature/my-feature
3. Commit changes: git commit -m 'Add new plugin support'
4. Push: git push origin feature/my-feature
5. Open a Pull Request

Please follow the Code of Conduct and Contributor Guidelines.

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📜 License

MIT © 2025 IceLater

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❓ FAQ

Q: How do I exclude files or directories? A: Add a .aireviewignore file with glob patterns to exclude.

Q: Can I review only staged changes? A: Yes, use --staged flag in review command (coming soon).

Q: Which OpenAI models are supported? A: Any model available through your API key; default is gpt-4o-mini.