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ai-api-reviewer

v1.0.15

Published

⚡ AI-powered Express.js API Analyzer CLI that detects endpoints, extracts logic, sanitizes code, and generates optimization reports using Gemini AI.

Readme

```

🤖 AI Code Reviewer CLI

AI-powered Express.js API Analyzer by Bhavya Rathore

Analyze, clean, and optimize your backend endpoints with the power of Google Gemini AI — right from your terminal.


🧠 Overview

ai-code-reviewer is a next-gen CLI that automatically:

  • Detects your Express.js route files
  • Extracts and sanitizes API handler logic
  • Sends the cleaned payloads to Gemini AI
  • Generates structured optimization & performance reports

Perfect for developers who want to improve code quality, detect inefficiencies, or review backend logic before deployment.


⚙️ Installation

🔹 Global Installation (Recommended)

npm install -g ai-api-reviewer

🔹 Local Installation (Optional)
npm install ai-code-reviewer --save-dev

🧠 Prerequisites

Before running, ensure you have:

Node.js ≥ 18.x

npm ≥ 9.x

A valid Google Gemini API key from Google AI Studio

Create a .env file in your project root:

GEMINI_API_KEY=your_google_gemini_api_key

🚀 Usage
Step 1: Run the CLI
ai-review


The CLI will:

Scan your /src/routes folder

Let you pick which router file to analyze

Let you select specific endpoints to analyze

Step 2: Select Endpoints
📁 Select which router file you want to analyze:
> user.routes.js
  post.routes.js

🧠 Select which endpoints to analyze:
☑ GET / → getUsers
☑ POST / → createUser
☐ DELETE /:id → deleteUser

🧩 Extracting Function: getUsers from user.controller.js
✅ Cleaned, Sanitized, and AI-Ready!
💾 Payload saved to: analysis_reports/getUsers_1762372843863.json

Step 3: View AI Reports

After analysis, reports are generated inside:

src/ai_reports/


Each report includes:

Function summary

AI optimization feedback

Suggested improvements

Best practices

🧰 Example Project Structure
my-app/
├── src/
│   ├── routes/
│   │   ├── user.routes.js
│   │   ├── post.routes.js
│   ├── controllers/
│   │   ├── user.controller.js
│   │   ├── post.controller.js
│   ├── ai_reports/
│   ├── analyzer/
│   └── genai/
│
├── .env
├── package.json
└── node_modules/

🧩 Example Output Report
{
  "endpoint": "GET /users",
  "function": "getUsers",
  "analysis": {
    "issues": ["Lack of input validation"],
    "suggestions": [
      "Add schema validation using Joi or Zod",
      "Use pagination for large datasets"
    ],
    "rating": "A-"
  }
}


💡 Future Roadmap

 Add TypeScript controller parsing

 Integrate code complexity scoring

 Add OpenAI fallback

 VS Code Extension support

 Auto-fix suggestions

👨‍💻 Author

Bhavya Rathore