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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  • Summary
  • Example
  • Prompt
  • Response
  • Prompt
  • Response
  • Discussion

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  1. Subject Knowledge Areas
  2. Templating

Layouts

Templating layouts for your apps with UI

Summary

Layouts in an application define the structure of how your components are rendered. They can include your header, body, footer. They are what is used to define a single row in the body of your web app, or three columns in your body. Prompt stores in generative AI can be used to create consistent layouts for components in Next.js and Chakra UI applications. By defining a standard layout prompt, developers can ensure that new components are created using the same layout conventions, such as header, body, and footer, leading to a more maintainable and coherent user interface.

Example

A developer wants to create new components for their Next.js and Chakra UI application, following a consistent layout structure. They define a prompt store for the layout structure and then use it to generate new components with generative AI.

Let's create a prompt that returns a prompt for us to start.

Prompt

prompt
Define a standard layout prompt for creating new components with a consistent layout structure (header, body, and footer) in a Next.js and Chakra UI application.

Response

When you write "next-chakra-layout", remember that it means creating a new component with the following layout structure:
1. Header: A top section that contains the component title, navigation, or branding elements.
2. Body: The main content area that includes the core functionality and information of the component.
3. Footer: A bottom section that contains secondary information, copyright notices, or additional navigation elements.

Keep in mind that for each of these sections, you should use appropriate Chakra UI components and apply consistent styling and spacing.

Prompt

prompt
When you write "next-chakra-layout", remember that it means creating a new component with the following layout structure:
1. Header: A top section that contains the component title, navigation, or branding elements.
2. Body: The main content area that includes the core functionality and information of the component.
3. Footer: A bottom section that contains secondary information, copyright notices, or additional navigation elements.

Keep in mind that for each of these sections, you should use appropriate Chakra UI components and apply consistent styling and spacing.
prompt
import a contact form component and create a contact page, next-chakra-layout

Response

Assuming you have already created a ContactForm component, you can create a ContactPage using the NextChakraLayout structure you mentioned earlier. First, import the required Chakra UI components and the ContactForm component:

import React from 'react';
import { Box, Flex, Heading, VStack, Text } from '@chakra-ui/react';
import ContactForm from './ContactForm';

const ContactPage = () => {
  return (
    <VStack>
      {/* Header */}
      <Flex as="header" width="100%" py={4} justifyContent="center">
        <Heading>Contact Us</Heading>
      </Flex>

      {/* Body */}
      <Box as="main" width="100%" px={4}>
        <ContactForm />
      </Box>

      {/* Footer */}
      <Flex as="footer" width="100%" py={4} justifyContent="center">
        <Text>&copy; {new Date().getFullYear()} Your Company Name</Text>
      </Flex>
    </VStack>
  );
};

export default ContactPage;

This code creates a ContactPage component using the NextChakraLayout structure, which includes a header with the title "Contact Us", a body that contains the ContactForm component, and a footer with a copyright notice. Don't forget to adjust the styling, spacing, and other elements according to your design requirements.

Discussion

By using prompt stores (next-chakra-layout) to define a standard layout structure for Next.js and Chakra UI applications, and then using that prompt store developers can achieve the following benefits:

  1. Maintain consistency in the user interface, creating a more pleasant and coherent user experience.

  2. Streamline the process of creating new components, as the developer can quickly generate them using generative AI, following the same layout structure and conventions.

  3. Enhance the maintainability and readability of the code, as all components follow the same layout patterns.

  4. Quickly import

  5. Facilitate collaboration among team members, as the consistent layout structure makes it easier for developers to understand and work on each other's components.

Using prompt stores in generative AI can simplify and improve the development process by providing context and reducing redundancy, resulting in the generation of consistent layout structures in Next.js and Chakra UI applications.

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Last updated 3 months ago

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