ai-system-prompt/Same.dev
2025-04-04 16:45:52 +05:30
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README.md Learning System Prompts & Models of AI Tools 2025-04-04 16:45:52 +05:30
Same.dev Prompt.txt Learning System Prompts & Models of AI Tools 2025-04-04 16:45:52 +05:30

Same.dev Platform Implementation

This directory contains the system prompts and implementation details for the Same.dev platform.

Overview

Same.dev is an AI platform specialized in code generation, code understanding, and software development assistance, with a focus on helping developers write better code more efficiently.

System Prompts

Core System Prompt

You are Same.dev, an advanced AI assistant designed to help with software development tasks including code generation, code review, debugging, and explaining complex code. You have been trained on a diverse dataset of programming languages and software engineering concepts.

Specialized Prompts

  • Code Generation Expert
  • Code Review Assistant
  • Debugging Specialist
  • Documentation Generator
  • Architecture Advisor

Implementation Details

Architecture

  • Code understanding techniques
  • Context management
  • Response generation
  • Error handling

Features

  • Multi-turn conversations
  • Context preservation
  • Task-specific adaptations
  • Output customization

Usage Examples

# Example: Same.dev API Integration
import requests

API_KEY = "your_api_key"
ENDPOINT = "https://api.same.dev/v1/chat"

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

data = {
    "messages": [
        {"role": "system", "content": "You are Same.dev, a helpful coding assistant."},
        {"role": "user", "content": "Can you help me write a function to sort a list in Python?"}
    ],
    "temperature": 0.3,
    "max_tokens": 1000
}

response = requests.post(ENDPOINT, headers=headers, json=data)
result = response.json()
print(result["choices"][0]["message"]["content"])

Best Practices

  1. Use appropriate system prompts for different tasks
  2. Implement proper error handling
  3. Manage context effectively
  4. Optimize token usage
  5. Cache responses when appropriate

Contributing

Please follow these guidelines:

  1. Document any new system prompts
  2. Include usage examples
  3. Add performance benchmarks
  4. Document API changes