Quick Start Guide

Get CodaiPro up and running in under 5 minutes! This guide will walk you through the fastest way to start using your offline AI coding assistant.

🎯 What You’ll Accomplish

By the end of this guide, you will:

• ✅ Have CodaiPro installed and running on your system
• ✅ Understand the basic interface and controls
• ✅ Generate your first AI-assisted code
• ✅ Know how to customize AI responses

Estimated Time: 5-10 minutes

📋 Prerequisites

Before you begin, make sure you have:

🚀 Launch CodaiPro

🔄 Checking for existing CodaiPro instances...
✅ No conflicts detected
🚀 Starting backend server...
⚙️ Loading AI model...
✨ CodaiPro is ready!

💬 Your First AI Interaction

Let’s generate your first piece of code with AI assistance!

Write a Python function to calculate the factorial of a number

def factorial(n):
    """
    Calculate the factorial of a number.
    
    Args:
        n (int): A non-negative integer
    
    Returns:
        int: The factorial of n
    """
    if n < 0:
        raise ValueError("Factorial is not defined for negative numbers")
    elif n == 0 or n == 1:
        return 1
    else:
        result = 1
        for i in range(2, n + 1):
            result *= i
        return result
 
# Example usage
print(factorial(5))  # Output: 120

⚙️ Customize Your Experience

Now let’s explore the settings to get better results for your specific needs.

Understanding the Settings Panel

Located on the right side of the interface:

🌡️ Temperature (0.1 - 1.0)

Controls the creativity vs. accuracy of responses:

• 0.1 - 0.3: Very precise, deterministic (best for debugging)
• 0.4 - 0.6: Balanced (recommended for most tasks)
• 0.7 - 1.0: Creative, varied solutions (best for brainstorming)

📏 Max Length (100 - 2000 tokens)

Controls how long the AI’s responses will be:

• 100 - 500: Brief answers, quick responses
• 500 - 1000: Standard explanations (recommended)
• 1000 - 2000: Detailed, comprehensive answers

🎭 System Instructions

Custom instructions to shape AI behavior. Examples:

You are a helpful coding tutor. Explain concepts clearly for beginners.

Provide production-ready code with error handling and documentation.

Focus on performance optimization and best practices.

🎯 Try Different Scenarios

Now that you’re set up, try these common use cases:

Create a JavaScript function that validates email addresses using regex

Find the bug in this code:

def calculate_average(numbers):
    total = 0
    for num in numbers:
        total += num
    return total / len(numbers)

Explain how this quicksort algorithm works step by step:

[paste your code here]

Optimize this code for better performance:

[paste your code here]

🎓 Best Practices for Great Results

✅ DO:

1. Be Specific About Language

   ✅ "Write a Python function..."
   ❌ "Write a function..."

2. Provide Context

   ✅ "Create a REST API endpoint in Express.js that handles user registration with email validation"
   ❌ "Make an API endpoint"

3. Ask Follow-up Questions

   "Can you add error handling to the previous function?"
   "Explain the time complexity of this algorithm"

4. Specify Requirements

   "Include comments, error handling, and type hints"
   "Make it compatible with Python 3.8+"

❌ DON’T:

1. Don’t Be Vague

   • Bad: “Help me with my code”
   • Good: “Debug this Python function that’s returning incorrect values”

2. Don’t Skip Language Specification

   • Bad: “Write a sorting function”
   • Good: “Write a merge sort function in Java”

3. Don’t Paste Huge Code Blocks

   • Instead, ask about specific parts or functions

🔧 Troubleshooting Quick Fixes

Issue: Slow Responses

Solution: Reduce Max Length to 500-800 tokens and close other applications.

Issue: Application Won’t Start

Solution:

1. Check if another instance is running (Task Manager)
2. Run KILL_V21.bat from the CodaiPro folder
3. Try again

Issue: “Port 8000 in use” Error

Solution:

# In PowerShell
Get-Process -Id (Get-NetTCPConnection -LocalPort 8000).OwningProcess | Stop-Process -Force

🎯 Next Steps

Now that you’re up and running, explore these guides:

For Students

👉 Lab Environment Setup - Use CodaiPro in university labs

For Developers

👉 Advanced Configuration - Customize CodaiPro for your workflow

Learn More Features

👉 AI Capabilities - Discover all AI-powered features

Get Help

👉 FAQs - Common questions answered

📊 Quick Reference Card