Cursor Course: FullStack development with Cursor Vibe Coding

To sign up for Cursor, follow these steps:

1. Visit the official website: Go to https://cursor.sh/

2. Click "Download": On the homepage, you'll see a prominent "Download" button.

3. Choose your platform: Select the appropriate version for your operating system (Windows, macOS, or Linux).

4. Install the application: Once downloaded, run the installer and follow the on-screen instructions to install Cursor on your machine.

To Install Cursor IDE, follow these steps:

1. Visit the official website: Go to https://cursor.sh/ or https://cursor.com/

2. Click "Download": On the homepage, you'll see a prominent "Download" button.

3. Choose your platform: Select the appropriate version for your operating system (Windows, macOS, or Linux).

4. Install the application: Once downloaded, run the installer and follow the on-screen instructions to install Cursor on your machine.

.cursorrules

For project-specific instructions, you can include the instructions in a .cursorrules file in the root of your project.

As the same as the “Rules for AI” section, the instructions in the .cursorrules file will be included for features such as Cursor Chat and Ctrl/⌘ K.

cursor.direcotry

• Copy and add a .cursorrules file in the root of your project.

• The instructions in the .cursorrules file will be included for features such as Cursor Chat and Ctrl/⌘ K.

• The more specific your rules for your project, the better.

• Tons of useful prompts

  
  

DISCLAIMER:

• I am not a lawyer or legal professional.

• This video is for informational purposes only and should not be considered legal advice.

• For specific privacy concerns or questions, please consult with qualified legal counsel or privacy experts.

• I am not accountable for any actions taken based on the information presented in this video.
  Always refer to Cursor's official privacy policy and terms of service for the most up-to-date and accurate information.

Cursor Pricing Plans:

1. Hobby (Free):

   • Pro two-week trial

   • 2000 completions

   • 50 slow premium requests

2. Pro ($20/Month):

   • Unlimited completions

   • 500 fast premium requests per month

   • Unlimited slow premium requests

   • 10 AI-mini uses per day

3. Business ($40/User/Month):

   • Everything in Pro, plus

   • Enforce privacy mode org-wide

   • Centralized team billing

   • Admin dashboard with usage stats

Key Features:

• Option to choose between monthly and yearly (20% savings) billing

• Download available for Mac and other platforms

• Premium models include GPT-4, GPT-4a, and Claude 3.5 Sonnet

• Privacy mode for code protection

• API key integration for some features

• Free usage of premium models up to 50 uses

Cursor Chat is an integrated AI-powered assistant feature within the Cursor IDE. Here's a concise overview of its key aspects:

• In-IDE AI assistant: It provides a chat interface directly within the Cursor development environment.

• Context-aware: Cursor Chat understands the current project context, including open files and selected code.

• Code-related queries: You can ask questions about your code, request explanations, or seek suggestions for improvements.

• Natural language interaction: Communicate with the AI using plain English queries.

• Code generation: Request new code snippets or entire functions based on your descriptions.

• Debugging assistance: Ask for help identifying and fixing bugs in your code.

• Documentation help: Get explanations about libraries, functions, or coding concepts.

• Refactoring suggestions: Receive ideas on how to improve code structure or efficiency.

• Multi-turn conversations: Engage in back-and-forth dialogues to refine queries or dive deeper into topics.

• Integration with other Cursor features: Works seamlessly with Cursor Composer and other IDE functionalities.

  
  

  
  

  
  

  Cursor Chat aims to provide developers with on-demand AI assistance throughout their coding process, helping to streamline development, troubleshoot issues, and enhance overall productivity within the familiar IDE environment.

Cursor Composer is a feature within the Cursor IDE that enhances the AI-assisted coding experience. Cursor Composer offers:

• AI-powered code generation: It allows you to describe functionality in natural language and generates corresponding code.

• Context-aware: Composer understands the context of your project and existing code, providing more relevant suggestions.

• Interactive editing: You can iteratively refine the generated code through further prompts or manual edits.

• Multi-file support: Composer can work across multiple files in your project, understanding and modifying related code as needed.

• Language agnostic: It supports various programming languages and frameworks.

• Customizable output: You can specify coding style preferences or project-specific requirements.

Cursor Composer aims to speed up development by handling boilerplate code, suggesting implementations, and assisting with complex logic, all while allowing developers to maintain control over the final output

Vercel is a cloud platform for static sites and serverless functions that's optimized for Next.js applications. Here are the key points about Vercel:

• Deployment: It provides an easy way to deploy web projects, especially those built with Next.js, React, and other modern frameworks.

• Performance: Vercel offers global CDN distribution, automatic SSL, and edge caching for optimal performance.

• Serverless Functions: It supports serverless functions, allowing you to run backend code without managing servers.

• Next.js Integration: As the creators of Next.js, Vercel provides first-class support and optimizations for Next.js applications.

• Preview Deployments: It offers preview deployments for pull requests, facilitating easier code reviews and testing.

• Analytics: Vercel includes built-in analytics for monitoring your application's performance.

• Collaboration: It provides team collaboration features for working on projects together.

• CI/CD: Vercel integrates with Git providers for continuous deployment workflows.

For Next.js developers, Vercel is often the go-to platform due to its seamless integration and optimized performance for Next.js applications.

In the JavaScript ecosystem, Yarn is a package manager, similar to npm (Node Package Manager). It helps developers manage dependencies (libraries, frameworks, and modules) for their projects. Yarn was created by Facebook as an alternative to npm with the goal of being faster, more secure, and more reliable.

Key Features of Yarn:

1. Faster Installation: Yarn uses a caching mechanism to store downloaded packages locally, speeding up subsequent installs.

2. Offline Mode: You can install previously installed packages without an internet connection, thanks to its caching.

3. Lockfile: Yarn generates a yarn.lock file that ensures consistent dependency versions across different installations, avoiding “dependency hell.”

4. Parallel Downloads: Yarn installs packages in parallel, optimizing the installation process.

5. Security: It verifies the integrity of each package using checksums, ensuring that the downloaded packages are not tampered with.

It reads the package.json file and the yarn.lock file to install the exact versions of packages listed.

Yarn is often used in projects where speed and consistency in package management are important.

Postman is a powerful tool used for testing and interacting with APIs (Application Programming Interfaces). It simplifies the process of sending HTTP requests and viewing responses, making it essential for developers working with RESTful, SOAP, or GraphQL APIs.

Key Features of Postman:

1. API Request Building: Postman allows you to easily create and configure HTTP requests, including GET, POST, PUT, DELETE, and more. You can add headers, parameters, and bodies to requests to interact with APIs as needed.

2. Environment Variables: Postman supports the use of environment variables, which allows you to configure different environments (e.g., development, production) and switch between them easily.

3. API Testing: Postman enables you to write tests in JavaScript to validate responses and ensure your API behaves as expected. These tests can check things like status codes, response times, and data integrity.

4. Collection of Requests: You can organize your requests into collections and folders, making it easier to manage related API endpoints for a project.

Postman is commonly used to interact with APIs during the development phase, troubleshoot issues, ensure API correctness, and automate testing.

Cmd K, also known or “Ctrl K” on Windows/Linux, allows you to generate new code or edit existing code in the editor window.

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Prompt Bars

In Cursor, we call the bar that appears when you press Ctrl/Cmd K the “Prompt Bar”. It works similarly to the AI input box for chat, in which you can type normally, or use @ symbols to reference other context.

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Inline Generation

If no code is selected when you press Ctrl/Cmd K, Cursor will generate new code based on the prompt you type in the prompt bar.

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Inline Edits

For in-place edits, you can simply select the code you want to edit and type into the prompt bar.

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Follow-up Instructions

After each generation, you can further refine the prompt by adding more instructions to the prompt bar, and pressing Enter so the AI regenerates based on your follow-up instructions.

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Default Context

By default, Cursor will try to find different kinds of useful information to improve code generation, in addition to the manual @ symbols you include.

Additional context may include related files, recently viewed files, and more. After gathering, Cursor ranks the context items by relevance to your edit/generation and keeps the top items in context for the large language model.

Returning Structured Data from LLMs - LangChain JS withStructuredOutput

Key Methods:

1. withStructuredOutput(): A common interface for popular model providers (Anthropic, Google VertexAI, Mistral, OpenAI) to return structured output matching a requested schema.

2. Prompting Techniques: Designing prompts to guide models in outputting information in a specific format.

Using withStructuredOutput():

• Can use Zod or JSON schema to define the desired output structure.

• Supports different output methods (e.g., JSON mode for OpenAI).

• Option to include raw outputs for handling parsing errors.

Prompting Techniques:

• Use built-in parsers like JsonOutputParser with carefully crafted prompts.

• Create custom prompts and parsers using LangChain Expression Language (LCEL).

Best Practices:

• Provide clear schema definitions and instructions in prompts.

• Consider using schema names to give models additional context.

• Handle potential parsing errors, especially with complex schemas.

Use Cases:

• Extracting data from text for database insertion.

• Generating structured responses for downstream systems.

• Creating consistent output formats for various applications.

This approach allows for more reliable and consistent structured data output from language models, facilitating integration with other systems and improving data handling in AI applications.

• Create 'users' table

• Add record to DB when user logs in

v0 is a generative user interface system by Vercel powered by AI. It generates copy-and-paste friendly React code based on shadcn/ui and Tailwind CSS that people can use in their projects.

You can integrate generated UI into your React application using copy/paste.