Generative Development Framework
GDF.ai
  • Intro to GDF-FSE
    • Generative AI, Large Language Models, ChatGPT?
    • Knowledge Areas
    • Access a Chat Based LLM
    • Why GDF?
    • Expectations
  • Limitations
  • Prompting
    • Prompt Patterns
    • Prompt Context
    • Prompt Stores
    • Prompt Operators
    • Prompt Chaining
  • Security
    • Protecting Data
    • Protecting Application Security
    • Protecting Intellectual Property
    • Protection Stores
    • AI Security Assessments and Penetration Testing
    • Social Engineering Testing with AI
  • Subject Knowledge Areas
    • Ideation
      • Identifying a Problem Statement
      • Plan and Prioritize Features
      • Develop User Stories
      • Requirement Gathering
      • Ideation Prompting
      • Ideation Template
    • Specification
      • Specifying Languages
      • Specifying Libraries
      • Specifying Project Structures
      • Specify Schemas
      • Specifying Elements
      • Specifying API Specs
    • Generation
      • Generating UI Elements
      • Generating Mock Data
      • Generating Schemas
      • Generating Parsers
      • Generating Databases
      • Generate Functions
      • Generate APIs
      • Generate Diagrams
      • Generating Documentation
    • Transformation
      • Converting Languages
      • Converting Libraries
    • Replacement
      • Replacing Functions
      • Replacing Data Types
    • Integration
      • Connecting UI Components
      • Connecting UI to Backend
      • Connecting Multiple Services Together
      • Connecting Cloud Infrastructure (AWS)
    • Separation
      • Abstraction
      • Model View Controller (MVC)
    • Consolidation
      • Combining UI Elements
      • Deduplicating Code Fragments
    • Templating
      • Layouts
      • Schemas
      • Project Structures
      • Content Management Systems
    • Visualization
      • General Styling
      • Visual Referencing
      • Visual Variations
    • Verification
      • Test Classes
      • Logging and Monitoring
      • Automated Testing
      • Synthetic Monitoring
    • Implementation
      • Infrastructure
      • DevOps / Deployment
    • Optimization
      • General Optimization
      • Performance Monitoring
      • Code Review
  • Guidance
    • Business Process
    • Regulatory Guidance
  • Generative Pipelines
  • Troubleshooting
    • Client Side Troubleshooting
    • Server Side Troubleshooting
    • Troubleshooting with AI
    • Documentation
    • Infrastructure Engineering
  • Terminology
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  • Example: Deduplicating code fragments in generative AI

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  1. Subject Knowledge Areas
  2. Consolidation

Deduplicating Code Fragments

Techniques and patterns for deduplicating code with AI

Summary

Reducing code duplication is crucial in software development as it enhances maintainability, readability, and modularity. By consolidating similar code fragments, developers can prevent the proliferation of code clones, making it easier to extend and refactor the codebase. This module will discuss the importance of code consolidation and provide examples from a bicycle rental application.

Example: Deduplicating code fragments in generative AI

  1. BicycleCard.js:

import React from 'react';

const BicycleCard = ({ bicycle }) => {
  return (
    <div>
      <h3>{bicycle.name}</h3>
      <p>Type: {bicycle.type}</p>
      <p>Price: ${bicycle.price}</p>
    </div>
  );
};

export default BicycleCard;
  1. RentalCard.js:

import React from 'react';

const RentalCard = ({ rental }) => {
  return (
    <div>
      <h3>{rental.bicycle.name}</h3>
      <p>Type: {rental.bicycle.type}</p>
      <p>Price: ${rental.bicycle.price}</p>
    </div>
  );
};

export default RentalCard;

To consolidate the duplicated code, create a reusable BicycleInfo component that can be used by both BicycleCard and RentalCard:

import React from 'react';

const BicycleInfo = ({ bicycle }) => {
  return (
    <div>
      <h3>{bicycle.name}</h3>
      <p>Type: {bicycle.type}</p>
      <p>Price: ${bicycle.price}</p>
    </div>
  );
};

export default BicycleInfo;

Update BicycleCard and RentalCard to use the new BicycleInfo component:

// BicycleCard.js
import React from 'react';
import BicycleInfo from './BicycleInfo';

const BicycleCard = ({ bicycle }) => {
  return <BicycleInfo bicycle={bicycle} />;
};

export default BicycleCard;
// RentalCard.js
import React from 'react';
import BicycleInfo from './BicycleInfo';

const RentalCard = ({ rental }) => {
  return <BicycleInfo bicycle={rental.bicycle} />;
};

export default RentalCard;

Discussion: Consolidating code and reducing duplication offers several benefits and potential challenges:

Pros:

  1. Improves code maintainability and readability.

  2. Reduces the risk of introducing bugs when updating similar code fragments.

  3. Enhances modularity and reusability.

Cons:

  1. May require additional effort to identify and extract common functionality.

  2. Could lead to over-optimization if applied excessively.

In conclusion, code consolidation is an essential practice in software development that can lead to a more maintainable, modular, and readable codebase. It is particularly useful in scenarios like the bicycle rental application, where similar functionality exists across multiple components.

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Last updated 3 months ago

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