Cursor AI - The Future of Coding
TLDRIn this tutorial, Ben demonstrates the creation of a speech-to-text web app using Cursor AI, a powerful tool that enhances Visual Studio Code with AI capabilities. He guides viewers through the process of setting up the project with a simple prompt, generating the necessary files, and running the app. The app successfully toggles speech recognition using Node.js, Express, and the browser's built-in capabilities. Ben also highlights advanced features like using markdown files as reusable prompts for code cleanup and bug fixes, showcasing Cursor AI's potential for rapid custom app development.
Takeaways
- 🤖 The video introduces a speech to text web app built with Cursor AI, which is similar to VS Code but with additional AI capabilities.
- 📝 To create the app, the user provides a prompt to Cursor AI, which then generates the project and file structure automatically.
- 🔍 The prompt includes the desired app features, such as a toggle button for speech to text using Node.js, Express, and browser speech recognition.
- 📂 The app's file structure and descriptions are generated based on the provided prompt, guiding the user through the necessary components.
- ☕️ The process of creating the files and writing the code is automated, allowing the user to wait while Cursor AI completes the task.
- 📖 Following the steps in the README is crucial to ensure the app works as expected after generation.
- 🔧 The video demonstrates the successful creation and functionality of the speech to text feature in the app.
- 🛠️ The video also showcases advanced usage of Cursor AI, such as using markdown files as reusable prompts for code cleanup and bug fixes.
- 🔗 The 'dry code' feature is highlighted, which refactors repeated code into functions for cleaner code.
- 🔄 The video mentions the need to refine initial prompts for better app creation and to monitor OpenAI API usage due to potential limitations.
- 🚀 The potential of Cursor AI for rapid custom app creation is emphasized, suggesting a future where development can be significantly expedited.
Q & A
What is the main topic of the video?
-The main topic of the video is building a speech to text web app using Cursor AI, which is a tool similar to VS Code but with additional AI capabilities.
What is Cursor AI and how does it differ from VS Code?
-Cursor AI is a development environment that offers AI capabilities on top of the standard features of VS Code. It can generate code, refactor code, and perform other AI-assisted tasks to enhance the coding process.
What is the purpose of the prompt in the video?
-The prompt is used to guide Cursor AI in creating a new AI project with a specific structure and functionality. In this case, the prompt is to build a speech to text web app with a toggle button using node.js, Express, and browser speech recognition.
What are the steps involved in creating the speech to text web app as shown in the video?
-The steps include creating a new AI project with a prompt, choosing the parent folder, naming the project, and letting Cursor AI generate the project files and code. After that, the user should follow the steps in the README to install dependencies, start the server, and test the app in the browser.
What is the significance of the 'readme' file in the project?
-The 'readme' file provides instructions on how to set up and run the project. It is crucial for understanding the steps needed to get the app running after the project files have been generated.
How does the speech to text feature work in the web app?
-The speech to text feature in the web app uses the built-in speech recognition capabilities of the browser, allowing users to toggle the feature on or off with a button.
What is the role of the 'run-cleanup' markdown file in the video?
-The 'run-cleanup' markdown file serves as a reusable prompt for Cursor AI to perform general code clean up and bug fixes. It outlines actions for Cursor AI to take on the code, such as refactoring repeated code into a function.
What is the AI fix and chat feature in Cursor AI?
-The AI fix and chat feature is a chat-like session within Cursor AI that allows users to interact with the AI to resolve code issues. Users can paste the code and the error, and the AI will suggest fixes.
Why is it important to monitor Open AI API calls when using Cursor AI?
-It is important to monitor Open AI API calls because Cursor AI can consume a significant number of API calls, which may lead to increased costs. Users are advised to check their usage and consider upgrading to a pro subscription for unlimited GPT 4 generations.
What does the video suggest for users who want to refine their app development process with Cursor AI?
-The video suggests creating and refining initial prompts and markdown files to build a dynamic system for the rapid creation of custom apps, which can significantly speed up the development process.
Outlines
🛠️ Building a Speech-to-Text Web App with Cursor AI
In this video, Ben demonstrates the creation of a speech-to-text web application using Cursor AI, a tool similar to Visual Studio Code but with integrated AI capabilities. He starts by creating a new AI project with a specific prompt that includes the desired functionality and technologies such as Node.js, Express, and browser speech recognition. Cursor AI then generates the project files and code structure automatically. After the files are created, Ben follows the steps in the README to run the application, which includes installing dependencies and starting the server. The app is successfully tested in the browser, showcasing its ability to toggle speech-to-text functionality.
Mindmap
Keywords
💡Cursor AI
💡Speech to Text Web App
💡Node.js
💡Express
💡Browser Speech Recognition
💡AI Project
💡File Structure
💡Prompt
💡API Calls
💡Pro Subscription
💡Markdown
Highlights
Introduction to building a speech to text web app using Cursor AI.
Cursor AI is similar to VS Code but with additional AI capabilities.
Creating a new AI project with a prompt for Cursor to generate file structure.
The prompt includes building a web app with speech to text toggle using Node.js, Express, and browser speech recognition.
Cursor generates the necessary files and writes the code for the project.
Avoid clicking around while Cursor is generating to prevent disruptions.
Cursor completes the project generation in under 2 minutes.
Following the steps in the README to verify the app's functionality.
Installing dependencies and starting the server using npm.
The server runs on Port 3000, and the app can be accessed through a browser.
Demonstration of the speech to text toggle working in the web app.
Cursor's ability to censor speech is showcased.
Introduction of an expert, McKay Wriggley, who uses Cursor for code cleanup and bug fixes.
Using a markdown file as a reusable prompt for Cursor to perform actions on the code.
Cursor's refactoring capability to DRY (Don't Repeat Yourself) code.
Accepting changes made by Cursor to clean up the code.
Cursor's AI fix and chat feature to resolve coding errors.
The potential of creating and refining prompts for rapid custom app creation.
The importance of monitoring Open AI API calls due to Cursor's usage.
Recommendation to upgrade to a pro Cursor subscription for unlimited GPT 4 generations.
Conclusion of the video with an invitation for questions and a sign-off.