FabriXAI User Guide

# Code Clarifier

The Code Clarifier is an AI agent designed to simplify and explain code snippets in a way that is easy to understand, even for those with minimal coding knowledge. By breaking down the functionality, purpose, and key components of the code, this agent uses analogies and plain language to make programming concepts accessible. Whether you're a beginner or someone looking to grasp a new programming concept, the Code Clarifier will help you understand what the code does and how it works without getting lost in technical jargon.

# Getting Started

To get started, make sure you have cloned the Code Clarifier. Follow Create from Template to clone and configure your AI agent.

# Configuration Instructions

# Knowledge

You can upload .pdf or .txt files to provide the agent with tailored context that meets your specific requirements.

# User Inputs

No input fields are required for these AI agents.

# AI Models

The default model is Llama 3.1 8B Instruct, but you can explore other supported AI models as well. If needed, refine your prompts for more tailored outputs.

TIP

For more detailed instructions on configuring an AI agent, please refer to Configure AI Agent

# Sample Inputs and Output

# Sample Inputs

Explain the following code snippet:
def add_numbers(a, b):
    return a + b

# Sample Output

This code defines a function called 'add_numbers' that takes two inputs, 'a' and 'b'. The purpose of this function is to add these two numbers together. When you call this function and provide it with two numbers, it will return the sum of those numbers. Think of it like a simple math operation where you take two ingredients (numbers) and mix them together to get a final result (the sum).

# Tips for Effective Configuration

  • Understand Your Audience: Tailor your explanations based on the knowledge level of your audience to make the content relatable.
  • Use Simple Language: Avoid technical jargon and opt for everyday language to ensure clarity.
  • Provide Examples: Use analogies or real-life examples to illustrate complex concepts and make them easier to grasp.
  • Encourage Questions: Invite users to ask questions if they need further clarification, fostering a more interactive learning experience.
  • Test with Different Code Snippets: Experiment with various code snippets to see how well the agent explains different programming concepts and adjust your approach accordingly.

Continue exploring our collection of Agent Templates to discover more AI agent ideas in action!