How To Build An AI Chat App With Cursor Using Natural Language

Updated: November 18, 2024

Mckay Wrigley


Summary

The video showcases the process of building a beginner AI chat app using Cursor, a tool that allows for natural language app development. The speaker demonstrates setting up the project, integrating an AI model from Open AI, designing the UI elements, implementing chat streaming functionality, and troubleshooting bugs. They emphasize the ease of using Cursor for both beginners and advanced users, promoting efficient workflow and app development using natural language commands.


Building a Beginner AI Chat App

In this section, the speaker introduces the project of building a beginner AI chat app using Cursor, providing an overview of the end results and discussing the features to be included such as chat history, message streaming, and chat model interaction.

Setting Up with Cursor

The speaker goes through the initial setup steps using Cursor, including changing directories, installing necessary libraries like Shad CN, setting up the project using Next.js, and configuring the project for development.

Interface Setup and Component Installation

The process of setting up the interface and installing necessary components like button and alert dialogue from the Shad CN UI library is explained. The speaker navigates through the file explorer and demonstrates the installation of required packages for app development.

Open AI Integration Setup

Instructions for integrating and obtaining an API key from Open AI as the model provider for the chat app are provided. The speaker guides through the process of creating the key, adding it to the environment file, and ensuring the app can access the AI services.

UI Development and Collaboration with Cursor

The speaker utilizes Cursor to design and implement various UI elements, including creating a collapsible sidebar, text area, send button, and message rendering area. The process of collaborating with Cursor to fine-tune the UI and resolve errors is demonstrated.

Chat Streaming Functionality Implementation

The speaker works on implementing chat streaming functionality using Cursor, involving coding actions for sending and receiving messages from the AI model. Debugging steps and adjustments to ensure proper message streaming are shown.

Local Storage and Chat Saving

The process of setting up local storage for saving chat messages within the app is detailed by the speaker. They demonstrate how each chat should be structured and stored in local storage for easy retrieval and management.

Setting Chat ID

The code sets the current chat ID to keep track of selected chats and manage different chats effectively.

Handling Library Import Issue

Encountering an issue with importing a library, opting to use the current date time as the ID instead of installing a new library.

Creating and Testing Chat Functionality

Creating chats, testing functionality, identifying a bug where messages disappear in the UI, and communicating the issue for the model to address.

Debugging and Code Improvement

Identifying and communicating a bug related to messages disappearing and applying suggested code changes to potentially fix the issue.

Utilizing Model to Address Bugs

Communicating bugs and features to the model in natural language, allowing the model to address issues and make improvements.

Enhancing User Interaction

Implementing features like pressing Enter key to send messages, debugging, and improving user interactions within the chat application.

Creating Trash Icon Feature

Adding a feature to show a trash icon when hovering over chats in the sidebar and confirming chat deletion using the alert dialogue.

Applying Changes Instantly

Utilizing instant apply feature to implement changes quickly, such as adding a trash icon on hover and confirming chat deletion.

Advanced Features and Workflow

Exploring advanced features, workflow efficiency, and building apps in natural language using cursor, file referencing, and instant applies.

Concluding Remarks

Closing remarks on building apps in natural language with cursor, catering to both beginner and advanced users, and upcoming content for professional developers.


FAQ

Q: What are the features discussed for the beginner AI chat app project built using Cursor?

A: The features discussed include chat history, message streaming, and chat model interaction.

Q: How is nuclear fusion defined?

A: Nuclear fusion is the process by which two light atomic nuclei combine to form a single heavier one while releasing massive amounts of energy.

Q: What is the purpose of integrating an API key from Open AI in the chat app project?

A: The API key from Open AI is integrated to access the AI services and utilize the AI model for the chat application.

Q: What is the process of setting up local storage for saving chat messages within the chat application?

A: The process involves structuring and storing each chat in local storage for easy retrieval and management. A current chat ID is also set to track selected chats and manage multiple chats effectively.

Q: How are bugs and features communicated to the AI model in the chat app project?

A: Bugs and features are communicated in natural language to the AI model, allowing it to address issues and make improvements.

Q: What features are implemented in the chat application to improve user interactions?

A: Features like pressing Enter key to send messages, implementing trash icon on chat hover for deletion confirmation, and debugging functionalities are implemented to enhance user interactions.

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