Learn Figma, Reactfire and Yarn

React Native lets you build mobile apps using only JavaScript. It uses the same design as React, letting you compose a rich mobile UI from declarative components.

react-native

How to create an app icon from scratch, generate the required sizes, and add to your iOS app.

Image editing - [Figma](https://www.figma.com/) is a free online design tool used in the video. You can use any design tool you like, such as Photoshop, Sketch etc, as long as the output is a 1024x1024 .png image.

Asset generator - [Iconizer](https://raphaelhanneken.com/iconizer/) is a free mac app for generating the correct sized assets from your icon.

Design and Add a Custom App Icon with Figma to Your React Native iOS App 

Design, prototype, and gather feedback all in one place with Figma.

figma

Keyboard shortcuts speed up our workflow, and make us aware of some features we didn't know existed. Figma has an awesome in app menu for exploring the keyboard shortcuts available to us.

Figma Keyboard Shortcuts

Figma Auto Layout gives our designs superpowers. By adding auto-layout to our button component, we can change the text within the button while automatically maintaining consistent horizontal and vertical padding, just like we would in code.

Build an Adaptive Button with Figma Auto Layout

OpenGraph images are the images you see when you paste a link into a social platform and it "unfurls" into an image, title, and description. This happens on Twitter, Discord, Slack, and many other platforms. This collection goes over everything from designing OpenGraph images in Figma, to implementing them in CodeSandbox, to returning headless browser screenshots from Netlify Functions, and finally using Cloudinary as a write-through cache. 

You will come away from this collection with the ability to ship an API that you can use on any of your sites, and also on-demand, that can generate images for not only OpenGraph unfurls, but also for Instagram, GitHub, and more. Using headless browsers with playwright to generate our images means we get full access to all the responsive power of CSS and all the logical power of JS to handle layout, importing assets like pngs, choosing different fonts, and more.

The image below is generated via the project you'll build and deploy in this course

![An example opengraph image](https://relaxed-payne-d1bfbe.netlify.com/opengraph?title=Building%20an%20OpenGraph%20image%20generation%20API%20with%20Cloudinary%20Netlify%20Functions%20and%20React&tags=figma,netlify%20functions,playwright&author=chrisbiscardi)

React is one of the web’s most popular frameworks for building JavaScript applications. 

If you know what you’re doing, React can drastically simplify how you build, use, and maintain code.

Whether you’re a React newbie or you’re ready for advanced techniques, you can level-up with egghead. Explore our in-depth courses, lessons, and community resources to build more powerful applications and crack open your career.

react

Building an OpenGraph image generation API with Cloudinary, Netlify Functions, and React

Figma is a web-based collaborative interface design tool that we can use to prototype the look and feel of our OpenGraph cards. We dive into a few of the basic features using [Ryan Warner's](https://twitter.com/ryanwarnercodes) community [social branding templates](https://twitter.com/ryanwarnercodes/status/1239578329340170240), such as text placement, using the eyedropper and color tools, as well as pulling in gradients as images to fit our working area.

* [Social Branding Template](https://www.figma.com/community/file/820337605519256142)
* [Gradient Magic](https://www.gradientmagic.com/)

Designing OpenGraph unfurls in Figma

Fast, reliable, and secure dependency management.

yarn

Yarn 2 is workspace aware. When you need to upgrade a package in one workspace, yarn will ask you if you want to resolve the version of the package to a version you use in a different package.

In this lesson, we go over `yarn up -i` to upgrade a package with an old version.

Use yarn up to Update Dependencies In A Yarn Workspace

`yarn dlx` can be used to run packages without installing them. This is useful for packages like `create-react-app` and `gatsby` that scaffold out apps for you, so you don't have to keep updating your global versions.



Use Yarn dlx to Execute Packages without Installing Them

This lesson goes over how to install yarn 2 through npm.

To install yarn 2 globally, we use `npm install -g yarn@berry`. 

To install yarn 2 to a specific project, we use `yarn policies set-version berry`. This creates a `.yarnrc` file and a `.yarn/` directory. `.yarnrc` that sets the path to our yarn instance in the created `.yarn/` directory that holds our new yarn version.

Install Yarn 2

Yarn PnP is a new feature set on **by default** with yarn 2. PnP gets rid of your projects `node_modules` in favor of a `.pnp.js` file.

This `.pnp.js` file maps all of the packages installed in your project to where Yarn has placed them on your disk. This enables faster, more reliable installs because you don't have to write to disk as often.

WTF is Yarn Plug'n'Play (PnP)?

Yarn 2 (Berry) has finally [released a stable version](https://dev.to/arcanis/introducing-yarn-2-4eh1)! 

The yarn team has been working on this release for over 2 years. 

This collection goes over: 

- What yarn pnp is and how it tries to solve the `node_modules` problem
- How to install yarn globally and locally inside of a single project
- How to use `yarn dlx`
- How to use `yarn up` to manage yarn workspace dependencies



Yarn 2 AKA Berry

JavaScript® (often shortened to JS) is a lightweight, interpreted, object-oriented language with first-class functions, most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic, and supports object-oriented, imperative, and functional programming styles.

javascript

The fastest way to create a robust, cross-platform compatible Node.js CLI (optionally typed with TypeScript) is by running `npx oclif single mycli`. Here we explain what this means and how and why to integrate this with Yarn Workspaces for an ideal developer experience.

Create a Single-Command Node.js CLI with Oclif, TypeScript and Yarn Workspaces

Figma is a collaborative prototyping tool that allows you to responsively design your applications, with resolution presets for all of the most popular devices. In this course, we will explore the fundamentals of Figma’s toolset that you can use for various design functions. 

We will start from scratch, then walk through scenarios you may encounter when designing a website or application. We will cover building reusable designs — known as “components” in Figma — all the way up to prototyping your designs to show screen transitions and animations between state. 

By the end of the course, you will understand the basics of Figma so you can use it to your advantage when building your next app or website.

The Beginner's Guide to Figma

In this lesson, you will learn how to export frames in Figma to share with others. You will also learn how to share links so others can see your design happening in real-time.

Export and Share Figma Frames

In this lesson, you will learn how to use Figma's prototyping feature to simulate a screen transition. This is a great feature to demo how users will interact with your app.

Prototype a Screen Transition in Figma

In this video, you will learn how to reuse Effects such as a drop shadow using Effect Styles in Figma. 

Reuse a Drop Shadow in Figma with Effect Styles

In this video, you will learn how to create Color Styles, or a color palette so that you can reuse colors across various frames in your project in Figma.  

Create Figma Color Styles to Reuse Across Frames 

In this video, you will learn how to establish your typography system for your project using Text Styles in Figma.

Establish a Typography System in Figma with Text Styles

In this lesson, you will learn how to duplicate grouped vectors to create a patterned logo in Figma. 

Duplicate Grouped Vectors to Create a Patterned Logo in Figma

In this lesson, you will learn how to use Figma's ellipse and pen tool to draw a simple clock icon. This will show you how to create vector-based graphics for your websites and apps.

Create a Simple Icon with Figma Ellipse and Pen Tool

In this lesson, you will learn how to add a reusable Figma component to multiple frames in your project. 

Add a Reusable Figma Component to Multiple Frames

In this lesson, you will learn how to build a component in Figma, which is the equivalent to a "symbol" in Sketch. It's essentially a reusable piece of design. This will allow you to work more efficiently when designing your app.

Build Reusable Designs with Figma Components

In this lesson, you'll learn how to enhance the accuracy of components generated by Cursor Composer by aligning your project's package.json with Cursor's rules. We'll guide you through extracting the list of installed packages from your package.json and incorporating them into your .cursorrules file, along with brief descriptions of their functionalities. By providing Cursor with this contextual information, you'll enable it to generate components that are more precise and functional on the first attempt. The lesson includes demonstrations of component generation both with and without these enhancements, highlighting the improvements in accuracy and efficiency.

Boost Cursor Composer Accuracy: Integrating package.json with Cursor Rules

Speed up your bug-fixing process dramatically with Cursors Composer. Take a warning from your logs, search for relevant terms, then seamlessly import both the warning and search results into Composer. Add documentation and apply fixes to all search results in one go. This streamlined workflow resolves multiple issues rapidly, saving valuable development time.

Batch Fix Every File in Search Results with Cursor's Composer

 We map over the initial set of results then use `Promise.all` to efficiently fetch the details of each pokemon rendered in the table. This allows us to add more columns to our pokemon table.

Fetch and display row details with Promise.all in Tanstack Table

map over the initial set of results then use `Promise.all` to efficiently fetch the details of each pokemon rendered in the tanstack table

Create a custom hook to fetch remote data by passing a promise to the React 19 `use` hook. Then render this data in Tanstack Table by memoizing the results and passing them to `useReactTable`.

Render remote data in a Tanstack Table with React 19's use hook and a promise

Create a custom hook using React 19’s use to fetch data with a promise. Render it in a Tanstack Table by memoizing and using useReactTable.

You know when you're deep in the code trenches and need someone to challenge your assumptions? That's exactly what this is about.

Instead of waiting for someone to poke holes in your master plan, you can paste that strategy straight into AI Studio and let it pressure test your ideas. We're talking about using this tool to validate everything from your feature proposals to your ambitious refactoring strategies.

The real magic happens when you hit that microphone button. Now you're in a real-time verbal sparring match. It's like rubber duck debugging but the duck actually pushes back and makes you defend every architectural decision you've made.

Here's the workflow:
1. Drop your master plan into the system instructions
2. Tell the AI to challenge every assumption
3. Hit that mic and defend your choices like you mean it
4. Watch your plan either emerge stronger or get rightfully dismantled

This approach is perfect when you're:
- Stuck in your own head with a complex problem
- Need to validate if your approach holds water
- Want to catch edge cases before they catch you
- Looking for opportunities you might have missed because you're too close to the code

It's like having a senior dev on call 24/7, ready to challenge your ideas and push you to think deeper about your solutions.

Now go forth and get your ideas challenged. Your projects will thank you for it.


An Uncomfortable and Challenging Conversation with AI Studio

In this lesson, you'll learn how to effectively brainstorm your project ideas before working with AI agents. We'll cover:

1. The importance of having a clear plan before starting work with AI agents
2. Using traditional brainstorming techniques to gather your thoughts
3. Leveraging video recording to capture your brainstorming session
4. How to review and analyze websites for inspiration
5. Documenting likes, dislikes, and potential features for your project
6. Using AI tools (like AI Studio) to organize and process your recorded brainstorming session

The lesson emphasizes a modern approach to brainstorming that combines traditional techniques with video recording, making it easier to later process your ideas through AI tools. This method helps ensure that no ideas are lost and that your thoughts can be effectively organized by AI for future reference.

How to Brainstorm Your Project Features to Prepare for AI Agents

fast-check allows us to create composite generators that suit our testing needs. We'll generate two numbers to create a point simulating an X and Y and assert that the distance should always be greater than or equal to 0.

Generate composite objects with fast-check fc.record

Just using fast-check by itself can make you tests verbose and tough to read. Lucky for us there are many integrations with fast-check such as the `@fast-check/jest` package that will help remove some boilerplate from our test.

Tidy up your test with @fast-check/jest

Many people share .cursorrules files, but trying to craft your own from scratch is a huge pain. Instead, this lesson shows you how to grab ALL community-created .cursorrules files to build a custom rule set for your projects. We'll use Gitingest and Google AI Studio to gather these examples and generate an awesome starting point customized to your specific project.

Generate Custom .cursorrules for Your Project Based on Community Examples

The GitHub CLI allows you to search issues and filter on different criteria like amount of comments. This allows you to search for real-world situations and pains/solutions people have using different technology. 

With the GitHub CLI in hand we'll drop 100s of issues as context in Googles AI Studio and have Gemini determine the 10 most frequently asked questions. This will give us a sense of how people use a library and where people get hung up.