KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#dsh #dsh-plugin #ai-agents #developer-tools #codex #claude-code #mcp #rust #deepseek-harness #typescript #ai-agent #cli

ai-coding-auction-demo

★ 28 Open GitHub ↗

Comparing programming languages for AI coding via a demo auction app

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# AI Coding Auction Demo - Python vs Java

A demonstration application comparing AI-assisted coding in Python (FastAPI) vs Java (Spring Boot), showcasing how strongly-typed languages provide better guardrails for AI-generated code.

## Overview

This project demonstrates identical auction system implementations in both Python and Java, designed to highlight key differences in:
- Type safety and validation
- Error handling
- Decimal precision
- Null/None handling
- Runtime vs compile-time error detection

## Project Structure

```
auction-demo/
├── python-backend/     # FastAPI implementation
├── java-backend/       # Spring Boot implementation
├── web/               # Single-page frontend
└── README.md
```

## Quick Start

### Prerequisites

- Python 3.11+
- Java 21+
- Maven 3.6+
- Modern web browser

### 1. Start Python Backend

```bash
cd python-backend
pip install -r requirements.txt
python main.py
```

The Python backend will start on http://localhost:8000

### 2. Start Java Backend

```bash
cd java-backend
mvn spring-boot:run
```

The Java backend will start on http://localhost:8080

### 3. Open Frontend

Open `web/index.html` in your browser or serve it with any static server:

```bash
cd web
python -m http.server 3000
# Then open http://localhost:3000
```

## Running Tests

### Java Tests

The Java backend includes a comprehensive unit test suite using JUnit 5 and Mockito:

```bash
cd java-backend
# Run all tests
mvn test

# Run specific test class
mvn test -Dtest=AuctionServiceTest
```

### Python Tests

The Python backend includes an equivalent test suite using pytest:

```bash
cd python-backend
# Install test dependencies (included in requirements.txt)
pip install -r requirements.txt

# Run all tests
pytest test_auction_service.py -v
```

## API Endpoints

Both backends implement identical REST APIs:

- `GET /api/health` - Health check
- `GET /api/auctions` - List all auctions
- `POST /api/auctions` - Create new auction
- `GET /api/auctions/{id}` - Get auction details
- `POST /api/auctions/{id}/bid` - Place a bid
- `GET /api/auctions/{id}/bids` - Get bid history
- `POST /api/auctions/{id}/close` - Close auction
- `DELETE /api/reset` - Reset database (demo only)

ai-coding-auction-demo

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README