🤖 AI Code Review - GitHub Action with Deep Static Analysis

Automated AI-powered code review for GitHub Pull Requests
GPT-5 • Claude Opus 4 • Gemini 2.5 Pro • O3 • Custom AI Models

🚀 Quick Start • ✨ Features • 📖 Documentation • 💡 Examples • 🤝 Contributing

🎯 What is AI Code Review?

AI Code Review is a next-generation GitHub Action that automates pull request reviews using advanced artificial intelligence and deep static code analysis. Get Principal/Staff engineer-level feedback on every PR with AST parsing, linter integration, dependency tracking, and beautiful visual statistics.

🏆 Why Choose AI Code Review?

✅ Save 2-4 hours per day on code reviews
✅ Catch bugs before production with deep analysis
✅ Consistent quality standards across your team
✅ Support for 10+ programming languages
✅ Works with GPT-5, Claude 4, Gemini, O3, and custom AI models
✅ AST parsing + Linter integration + Dependency analysis

✨ Key Features

🧠 Senior-Level AI Reviews

AI analyzes code like a Principal engineer with 15+ years of experience
Deep understanding of architecture, performance, and security
Provides detailed "why" explanations, not just "what"
Recognizes good code and best practices

🔍 Deep Static Code Analysis

AST Parsing: Extract functions, classes, and dependencies from any language
Linter Integration: Auto-runs ESLint, Pylint, Rust Clippy, C# Analyzers
Dependency Tracking: Maps function calls and dependencies across codebase
Complexity Metrics: Cyclomatic complexity and maintainability index
Call Graph Analysis: Understand function relationships and breaking changes

🎨 Beautiful Visual Reports

┌─────────────────────────────────────────────────────────────┐
│ Files Reviewed    │ 15                                      │
│ Quality Score     │ ████████████████░░░░ 85/100             │
│ Issues Found      │ Critical: 0 | Warnings: 2 | Info: 1     │
└─────────────────────────────────────────────────────────────┘

ASCII charts and sparklines
Quality scores and visual statistics
Trend analysis over time

🤖 Multi-Model Support

OpenAI: GPT-5, GPT-5-High, O3, O3-Mini
Anthropic: Claude Opus 4, Claude Sonnet 4
Google: Gemini 2.5 Pro, Gemini 2.5 Flash
Custom Endpoints: Azure OpenAI, AWS Bedrock, local models, or any OpenAI-compatible API

🛠️ AI Tool System (14 Tools)

AI actively investigates your code using specialized tools:

read_file, get_file_diff, analyze_file_ast - Deep file analysis
analyze_function_impact - 🎯 Breaking change detector! Shows full context around ALL function call sites
find_function_callers, find_function_dependencies - Code navigation
analyze_function_complexity - Complexity metrics
run_linter - Execute language-specific linters
get_commits_list, get_commit_diff, get_file_history - Git context
...and more!

🌍 Multi-Language Support

Review Language: Comments in any language (English, Russian, Spanish, French, German, Chinese, etc.)
Code Languages: TypeScript, JavaScript, Python, Rust, C#, Go, Java, PHP, Ruby, and more

📦 Smart PR Handling

Intelligent Chunking: Splits large PRs optimally by module boundaries
Handles massive PRs without hitting token limits
Silent Mode: Reduce notification spam for your team
Auto Labeling: Manages PR labels based on review results

🚀 Quick Start

Step 1: Create Workflow File

Create .github/workflows/ai-code-review.yml:

name: AI Code Review

on:
  pull_request:
    types: [opened, synchronize, reopened]

jobs:
  ai-review:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      pull-requests: write
    
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          fetch-depth: 0  # Important for commit history analysis

      - name: Run AI Code Review
        uses: zxcnoname666/AI-Code-Review@v1
        with:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}

Step 2: Add OpenAI API Key

Get your API key from OpenAI Platform
Go to your repository Settings → Secrets and variables → Actions
Click New repository secret
Name: OPENAI_API_KEY, Value: your-api-key-here

Step 3: Create a Pull Request

That's it! 🎉 AI Code Review will automatically analyze every new PR.

📖 Configuration Options

Required Inputs

Input	Description	Default
`GITHUB_TOKEN`	GitHub token (auto-provided by Actions)	-
`OPENAI_API_KEY`	OpenAI API key or compatible provider	-

Optional Inputs

Input	Description	Default
`OPENAI_API_MODEL`	AI model (`gpt-5`, `claude-opus-4`, `o3`, etc.)	`gpt-5`
`OPENAI_API_BASE_URL`	Custom endpoint (Azure, Bedrock, local)	`https://api.openai.com/v1`
`REVIEW_LANGUAGE`	Review language (`en`, `ru`, `es`, `fr`, `de`, `zh`, etc.)	`en`
`SILENT_MODE`	Minimize email notifications (`true`/`false`)	`false`
`MAX_CHUNK_SIZE`	Max tokens per chunk (adjust for your model)	`6000`
`ENABLE_LINTERS`	Run language-specific linters	`true`
`ENABLE_AST`	AST analysis for deep code understanding	`true`
`ENABLE_DEPENDENCY_ANALYSIS`	Dependency tracking and call graphs	`true`
`SEVERITY_THRESHOLD`	Min severity to report (`info`, `warning`, `error`)	`warning`

💡 Example Reviews

🔍 Click to see example review output

┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃                                                                   ┃
┃      🤖 𝗔𝗜 𝗖𝗢𝗗𝗘 𝗥𝗘𝗩𝗜𝗘𝗪 - 𝗔𝗡𝗔𝗟𝗬𝗦𝗜𝗦 𝗖𝗢𝗠𝗣𝗟𝗘𝗧𝗘 🤖              ┃
┃                                                                   ┃
┃         ⚡ Powered by Advanced AI & Deep Code Analysis ⚡           ┃
┃                                                                   ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛

## 📋 Executive Summary

This PR implements a new caching layer to reduce database load and improve 
response times. The implementation is solid with good error handling and test 
coverage. Found 2 performance optimizations and 1 documentation suggestion.

**Verdict**: ✅ APPROVED with minor suggestions

## 📊 Review Overview

┌─────────────────────────────────────────────────────────────┐
│ Files Reviewed        │ 15                                  │
│ Total Lines Changed   │ 450 (+320/-130)                     │
│ Commits Analyzed      │ 8                                   │
│ Tools Used            │ 12                                  │
│ Review Time           │ 45s                                 │
│ Quality Score         │ ████████████████░░░░ 85/100         │
└─────────────────────────────────────────────────────────────┘

## 🎯 Issues Summary

Critical  ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  0
Warnings  ████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░  2
Info      ████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  1

## 🏆 Highlights

✅ Well-structured code with clear separation of concerns
✅ Comprehensive error handling in API endpoints
✅ Good use of TypeScript types for type safety

## ⚠️ Issues Found

### src/api/handler.ts:45
**Severity:** Warning | **Category:** Performance

The database query inside the loop creates N+1 queries. Consider using 
a single query with JOIN or batch loading.

**Current:**
\`\`\`typescript
for (const user of users) {
  const posts = await db.query('SELECT * FROM posts WHERE user_id = ?', [user.id]);
}
\`\`\`

**Suggested:**
\`\`\`typescript
const posts = await db.query(`
  SELECT p.*, u.id as user_id
  FROM posts p
  JOIN users u ON p.user_id = u.id
  WHERE u.id IN (?)
`, [users.map(u => u.id)]);
\`\`\`

🎯 Advanced Use Cases

Manual Trigger with `/review` Command

Add the ability to trigger reviews on-demand:

on:
  pull_request:
    types: [opened, synchronize, reopened]
  issue_comment:
    types: [created]

jobs:
  ai-review:
    if: |
      (github.event_name == 'pull_request') ||
      (github.event_name == 'issue_comment' &&
       github.event.issue.pull_request &&
       contains(github.event.comment.body, '/review'))
    # ... rest of the workflow

Now comment /review on any PR to trigger a review!

Use Claude Opus 4

- uses: zxcnoname666/AI-Code-Review@v1
  with:
    GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
    OPENAI_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
    OPENAI_API_BASE_URL: 'https://api.anthropic.com/v1'
    OPENAI_API_MODEL: 'claude-opus-4'

Use Google Gemini 2.5 Pro

- uses: zxcnoname666/AI-Code-Review@v1
  with:
    GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
    OPENAI_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
    OPENAI_API_BASE_URL: 'https://generativelanguage.googleapis.com/v1'
    OPENAI_API_MODEL: 'gemini-2.5-pro'
    MAX_CHUNK_SIZE: '12000'  # Gemini supports larger context

Use OpenAI O3 Reasoning Model

- uses: zxcnoname666/AI-Code-Review@v1
  with:
    GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
    OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
    OPENAI_API_MODEL: 'o3-mini'
    MAX_CHUNK_SIZE: '10000'

Reviews in Russian

- uses: zxcnoname666/AI-Code-Review@v1
  with:
    GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
    OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
    REVIEW_LANGUAGE: 'ru'  # Reviews in Russian

Silent Mode (Reduce Notifications)

- uses: zxcnoname666/AI-Code-Review@v1
  with:
    GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
    OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
    SILENT_MODE: 'true'  # Minimize email spam

🛠️ How It Works

1️⃣ Data Collection

Retrieves PR details, branch info, and linked issues
Analyzes file types and programming languages
Builds commit history timeline

2️⃣ Smart Chunking

Splits large PRs intelligently by module boundaries
Groups related files together
Optimizes token usage for your chosen AI model

3️⃣ Deep Analysis

AI actively investigates code using 14 specialized tools:

File Analysis:

read_file - Read complete file content
get_file_diff - View specific changes with context
analyze_file_ast - Deep AST (Abstract Syntax Tree) parsing

Code Understanding:

analyze_function_impact - 🎯 Breaking Change Detector! Shows full context around ALL function call sites
find_function_callers - List all places where a function is called
find_function_dependencies - Find what a function depends on
analyze_function_complexity - Cyclomatic complexity metrics

Quality Tools:

run_linter - Execute language-specific linters (ESLint, Pylint, Clippy, etc.)

Git & History:

get_commits_list, get_commit_diff, get_file_history - Analyze code evolution

4️⃣ AI Review Process

Uses mandatory workflow requiring 4-6 tools minimum per review
Analyzes from multiple dimensions: Security, Performance, Architecture, Maintainability
Provides senior-level feedback with detailed explanations
Categorizes issues by severity (critical, warning, info)

5️⃣ Executive Summary Generation

Sends full review to AI for concise summary
Creates brief but comprehensive executive summary (under 300 words)
Includes: main changes, critical findings, key recommendations, verdict

6️⃣ Publishing Results

Posts comprehensive review comment
Adds inline comments on specific lines
Manages labels automatically
Supports silent mode to reduce notification spam

🔥 Breaking Change Detection Example

When refactoring a function used across multiple files, AI uses analyze_function_impact to show full context around ALL call sites.

Example: Changing calculatePrice(quantity, price) to calculatePrice(options)

// Before:
function calculatePrice(quantity: number, price: number): number {
  return quantity * price;
}

// After:
function calculatePrice(options: { quantity: number; price: number; discount?: number }): number {
  const { quantity, price, discount = 0 } = options;
  return quantity * price * (1 - discount);
}

What AI sees:

## Function Impact Analysis: calculatePrice

**Definition**: `src/utils/pricing.ts:42`
**Parameters**: quantity, price
**Exported**: Yes

### Call Sites

Found **8** call site(s) across **3** file(s)

---

#### `src/components/Cart.tsx` (3 calls)

**Call at line 67**:
→ 67 | const total = calculatePrice(item.quantity, item.price);
  68 | setCartTotal(total);

**Call at line 89**:
  88 | items.forEach(item => {
→ 89 |   subtotal += calculatePrice(item.qty, item.unitPrice);
  90 | });

---

Total Impact: 8 call site(s) would be affected

Recommendations:
⚠️ Medium impact: 8 call sites - thorough testing recommended
- All callers pass 2 parameters - breaking change confirmed
- Consider backward compatibility or deprecation period

The AI can now intelligently warn that all 8 call sites need updating! 🎯

🌐 Supported Languages

Review Languages (Comments)

English, Russian, Spanish, French, German, Chinese, Japanese, Korean, Portuguese, Italian, Dutch, Polish, Turkish, Arabic, Hindi, and more...

Code Analysis Languages

JavaScript/TypeScript - ESLint, AST parsing
Python - Pylint, AST parsing
Rust - Clippy, AST parsing
C# - dotnet format analyzers
Go - golangci-lint (custom integration)
Java, PHP, Ruby, C++ - Basic analysis
And more...

🏗️ Development

Prerequisites

Node.js 20+
pnpm 9+

Setup

git clone https://github.com/zxcnoname666/AI-Code-Review.git
cd AI-Code-Review
pnpm install
pnpm build

Project Structure

src/
├── index.ts              # Entry point
├── types/                # TypeScript types
├── ai/                   # AI client & prompts
│   ├── client.ts         # OpenAI/compatible client
│   ├── prompts.ts        # System & user prompts
│   └── tools-registry.ts # 14 AI tools registry
├── analysis/             # Code analysis engines
│   ├── ast-parser.ts     # AST parsing (Babel, TS, Acorn)
│   ├── linter-runner.ts  # Multi-language linter runner
│   └── call-graph.ts     # Dependency & call graph analysis
├── chunking/             # Smart chunking strategies
├── github/               # GitHub API integration
├── stats/                # Visualization & statistics
└── utils/                # Utilities

Testing

pnpm run build
pnpm run type-check

Create a test repository, set up the workflow, and verify the output.

🤝 Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

Fork the repository
Create feature branch: git checkout -b feature/amazing-feature
Commit changes: git commit -m 'feat: add amazing feature'
Push to branch: git push origin feature/amazing-feature
Open Pull Request

📝 License

MIT License - see LICENSE for details.

🙏 Acknowledgments

OpenAI - GPT-5, O3 models
Anthropic - Claude Opus 4
Google - Gemini 2.5 Pro
GitHub Actions
@babel/parser - JavaScript/TypeScript AST
@typescript-eslint/parser - TypeScript analysis
Rust Clippy - Rust linting
.NET Roslyn Analyzers - C# analysis

⭐ Support This Project

If you find AI Code Review useful, please:

⭐ Star this repository
🐛 Report bugs or request features
🔀 Share with your team
💬 Join discussions

Made with ❤️ by zxcnoname666

⬆ Back to top

Name		Name	Last commit message	Last commit date
Latest commit History 61 Commits
.github		.github
dist		dist
src		src
.gitignore		.gitignore
.pnpmrc		.pnpmrc
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
ROADMAP.md		ROADMAP.md
SECURITY.md		SECURITY.md
action.yml		action.yml
build.mjs		build.mjs
package.json		package.json
pnpm-lock.yaml		pnpm-lock.yaml
tsconfig.json		tsconfig.json

License

zxcnoname666/AI-Code-Review

Folders and files

Latest commit

History

Repository files navigation