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Revolutionizing NoCode: AI Assistants That Build Your App Logic for You! 🚀

Overview​

This video introduces NoCode-X’s AI Assistant, a groundbreaking tool that simplifies the process of building app logic using natural language prompts. Whether you're a beginner or an experienced developer, this assistant takes the complexity out of creating app logic, allowing you to focus on your ideas and creativity.

Key Features:​

  • Natural Language Prompts: Generate app logic by simply describing what you want in plain language.
  • Automated Logic Creation: Build database actions, API calls, calculations, and more with ease.
  • Customizable Outputs: Modify and refine the generated logic to suit your specific needs.
  • Seamless Testing: Test your logic directly within NoCode-X to ensure everything works as expected.

Step-by-Step Guide​

1. Creating Logic to Save Form Data​

  • Scenario: You have a form with fields for first name, last name, and birth date, and a "Save" button.
    (Timestamp: 1:08 - 3:53)

  • Prompt:
    "Change this action by fetching all the values of the form on the page, combine them in an object, and write this object to the database under the data format 'person'."

  • Result:
    The AI generates logic to:

    • Fetch input values from the form.
    • Combine the values into an object.
    • Save the object to the database.

  • Testing:
    (Timestamp: 3:18 - 3:53)

    • Fill in the form fields and click "Save."
    • Verify that the data is saved correctly in the database.

2. Calling an API​

  • Scenario: You want to call an external API and log the response.
    (Timestamp: 4:00 - 5:56)

  • Prompt:
    "Change this action by calling the API in the following curl statement and write the results to the application log."

  • Result:
    The AI generates logic to:

    • Call the API using the provided curl statement.
    • Log the API response in the application log.

  • Testing:
    (Timestamp: 5:43 - 5:56)

    • Run the action and verify that the API response is logged correctly.

3. Performing Calculations​

  • Scenario: You have two input fields (A and B), a button, and a result placeholder.
    (Timestamp: 6:01 - 9:06)

  • Prompt:
    "Change this action by fetching the values A and B, adding them together, and writing the result on the screen by replacing the placeholder. If the result is greater than 10, show an image; otherwise, hide the image."

  • Result:
    The AI generates logic to:

    • Fetch values from the input fields.
    • Perform the addition.
    • Display the result in the placeholder.
    • Show or hide the image based on the result.

  • Testing:
    (Timestamp: 8:47 - 9:06)

    • Test with different values for A and B to verify the logic and image behavior.

4. Fetching Data from the Database​

  • Scenario: You want to fetch all records where the first name is "Joe" and return them as an API response.
    (Timestamp: 9:15 - 12:33)

  • Prompt:
    "Change this action by fetching all the person data records from the database where the first name is 'Joe' and write this result to the API response."

  • Result:
    The AI generates logic to:

    • Query the database for records with the first name "Joe."
    • Return the results as an API response.

  • Enhancement:
    (Timestamp: 11:01 - 12:33)

    • Map the database results to include only the body data before returning them.

  • Testing:

    • Verify that the API response contains the correct data.

5. Populating a Data Table​

  • Scenario: You have a data table on a page and want to populate it with specific attributes from the database.
    (Timestamp: 12:40 - 14:50)

  • Prompt:
    "Change this action by fetching all the persons from the database, mapping the list to include only the attributes 'first name' and 'name,' and adding this list to the data table on screen."

  • Result:
    The AI generates logic to:

    • Fetch all records from the database.
    • Map the records to include only the specified attributes.
    • Populate the data table with the mapped data.

  • Testing:
    (Timestamp: 14:44 - 14:50)

    • Load the page and verify that the data table displays the correct information.

Tips and Best Practices​

  • Use Clear Prompts: Be specific about what you want the AI to do. Include details like field names, actions, and conditions.
  • Test Frequently: After generating logic, test it immediately to ensure it works as expected.
  • Refine Outputs: Use NoCode-X’s interface to tweak and customize the generated logic.
  • Leverage Reusability: Save frequently used logic as reusable components for future projects.

Conclusion​

The new AI Assistant in NoCode-X is a game-changer for building app logic. It empowers users to:

  • Create complex logic with simple natural language prompts.
  • Save time and reduce the complexity of app development.
  • Focus on creativity and innovation instead of technical details.

Stay tuned for more updates and tutorials on how to maximize the potential of NoCode-X’s AI Assistant. Let us know in the comments what you think and what features you’d like to see next!