Learn Cursor, Strapi and Xstate

**Note:** This course is being actively developed and more lessons will be added in the future.

Cursor is an AI-enhnaced code editor that allows you to call upon the robots to refactor or stub out functions for you with natural language. 

In this course, John will show you workflows that will save you time and effort by utilizing the features such as its mult-line editing and context.

In particular, by giving Cursor's AI the proper context, whether that's lines of code or multiple files, you'll get better output when trying to extend or refactor logic that's present.


Bite-size video tutorials for badass web developers.

egghead

Productive Developer Workflows with AI Enhanced Cursor IDE

**Developers aren’t the only ones working on sites.** 

Marketers, copywriters, designers, and other non-coding roles all need to be able to make content changes. If you don't want to be bothered to open a PR every time a typo needs fixed, you *need* a CMS. 

And Strapi is an *amazing* CMS option.  

Strapi helps you quickly build a robust content API. You can host it yourself, it supports both RESTful and GraphQL, handles your authentication, lets you bring team members and it's highly customizable with plugins and extensions. 

You can take those gains even further by adding **Next.js 13 to the stack.** 

Next.js is fast, supports both server and client-side rendering, and features dynamic routes. Once you are generating dynamic pages from your CMS you’ll see just how powerful the combination of Strapi and Next.js is!

**In this course you will do the following:** 

- Building Content Models with Strapi
- Fetching Data from your Headless CMS
- Using React Server Components
- Using the Next.js App directory
- Setting up pagination in Strapi and Next.js
- Parsing and rendering content in your Next.js application
- Connecting external services to your Headless CMS (like Cloudinary for Media Management)
- Deploying your Next.js and Strapi Applications to a production environment
- Setting up and using Strapi Plugins
Transferring data between your Strapi environments

By the end of this course you’ll be building pages and managing your content like a pro!

strapi

Modern CMS Driven Web Applications with Strapi and Next 13

There is a lot of extra functionality that you can import into your Strapi application through Strapi plugins. 

To demonstrate how easy this is, we'll install the `strapi-todo-plugin` and add a To-Do feature to our Strapi application that will help manage our content.

Install and Use a Strapi Plugin

Inviting users to your Strapi application is simple. First, we'll create a role for editors so they can't publish or delete content then we'll add the user and fill out name and email. This gives us a URL that we can send to the new collaborator and they can set their password and log in to the Strapi dashboard.

Invite a New User to Your Strapi App

When a new Strapi version is available, you'll see a notification in your admin panel. You can also check the [Strapi GitHub releases page](https://github.com/strapi/strapi/releases) that is linked in the notification to see what's new in the latest version and take note of the latest version number. 

Once we upgrade the Strapi dependencies and install again, you'll notice the notification is gone and when you check settings the version number has been updated. To update production, you push your changes to GitHub and run `git push heroku HEAD:main`.

Upgrade a Strapi App in Development and Production

There are times that when deploying your Strapi application you'll want the data and settings you developed with to be transferred to your production environment. To do this we can use Strapi's data transfer feature. 

To start the data transfer we will need to log into the production environment and create a transfer token. When the token is created we will just need to run `yarn strapi transfer --to :heroku-url` and paste the transfer token when prompted. You'll notice that all the data is present in your production enviroment as well as the roles you set up in development.

Transfer Data Between Environments with Strapi Data Transfer

Now that we've got a functioning application it's time to deploy. For Strapi, we'll use Heroku to deploy for production. To do so we will need to create a production environment file for `database.js` and `server.js`, then we log into Heroku and created a new app. Once logged in we will set all the environment variables in Heroku. Finally, we pushed our code to Heroku and saw our application running live on the web.

Deploy a Strapi Application to Heroku

cloudinary

We'll learn how to integrate Cloudinary into our Strapi application so that we can upload image assets in our Strapi dashboard and the resulting image will be stored in Cloudinary and ready for use in our application.

We'll create a `config/plugins.js` file and paste in some config code that sets Cloudinary as the provider with `cloud_name`, `api_key`, and `api_secret`.

Then we'll install the Cloudinary provider plugin with `npm install @strapi/provider-upload-cloudinary`, add the middleware security that lets us use Cloudinary, and finally add Cloudinary credentials to our `.env` file.

Install and Add the Cloudinary Provider to a Strapi Application

We'll cover the basics of building a new page in Next.js, specifically an "About Us" page. If you've used Next before, this will feel very similar to creating a new page in the `pages` directory. 

While doing this we will also be introduced to some of the components that come with the template, such as the `PageContainer`, `Main`, `Title`, and `Description` components which you can check out [in more detail here](https://github.com/malgamves/next-13-website-template/tree/main/components).


Create an About Us Page inside the Next.js 13 App Directory

GraphQL is a powerful technology that lets you query the exact data that you need when you need it on your front end. Strapi allows for GraphQL integration through a plugin.

You can install GraphQL with the following command:

```bash
yarn strapi install graphql
```
You'll notice this adds GraphQL in your plugins tab within Strapi. 

When that is installed you can navigate to `/graphql` in your Strapi project and query the data you have. 

Install and Query GraphQL API in Strapi

We have a problem right now in that if you were to try and fetch these posts from the API, you would get a 403 error. And that's because we haven't set up the end user permissions for the API to be able to access this content. So let's go ahead and do that now.

We'll modify the User permissions for the `Post` role and give public access to `find` and `findOne`.

Set up API End User Permissions to Make REST Queries in Strapi

The first thing we want to do is model the content that will be presented on our website. To do this we'll create a Post content type that will have several fields with types including text, rich text, date, and UID. 

After we create the content type you'll see how to manually create posts through the Strapi dashboard.

Create a Collection Type for a Post in Strapi

We'll start with the basics of creating a new Strapi project, naming the project API, and setting up the project to use an SQLite database.

Creating a New Strapi Project for Development with npx

Jotai's state management is primitive and flexible. This gives you room to build, compose, and share state throughout your application exactly how you need it.

This flexibility can become hard to manage when you have complex requirements that span across a number of states your application can be in.

Jotai lets you leverage other state management solutions through integrations so that you can solve the problem you're facing exactly how you need to.

One of those integrations is XState. XState gives you a safe abstraction to enumerate and handle the complex states your application can be in.

With Jotai + XState, you get the flexibility and ease of use of Jotai with the power of XState.

XState is a sophisticated library to provide a better and safer abstraction for state management. 

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

Complex State Management in React with Jotai and XState

Statecharts are a formalism for modeling stateful, reactive systems. This is useful for declaratively describing the behavior of your application, from the individual components to the overall application logic.

xstate

Sometimes adding initial values through the jotai Provider is not what you want. Provider will create a whole new store with atom values

One way to initialize a state machine inside Jotai is to turn our initial `lightAtom` into a function `createLightAtom`. This function will take an `initial` property that we can pass to `createLightMachine` when we declare the function. We will then useEffect to initialize our lightMachine.

There is a small limitation with this pattern, the machine is initialized with it's default value and then over ridden with the value we pass in the effect. The initial render will use that default value while the second render will have the value we passed in.


Initialize a Xstate Machine with Jotai Atom in Atom Pattern

We currently have a machine that displays a circle of green. When you click it, it will cycle through green, yellow, and Red.

What if you wanted to pass XState initial values from Jotai, you'll need to use the `initialValues` prop on Jotai Provider and pass a list of pair (atom and value) to it.

To do this we'll refactor the creation of the lightMachine to be a function that accepts an atom as an initial value.

One note to be aware of is that this initial value will only be set when the XState machines instantiate.


Provide XState with Initial Values through Jotai Provider

Sometimes you need to display values in specific ways throughout your application based on the state that you are managing. The way to do this is to derive your state so you don't have to track multiple stateful items.

In Jotai, this is accomplished by creating an atom, getting the value from another atom that you are managing (in this case from Xstate), and using that value how you need it in your derived atom. This atom will be re-evaluated every time the managed state changes.

This pattern is great to use if you have complex state managed in something like Xstate but need a derived state value that is not strongly tied to that managed state. The pattern works the same for async and synchronous function calls as well as pulling in multiple atoms and libraries to use in your derived state.


Derive Jotai Atom State from Complex State Managed in Xstate 

Jotai has a primitive and flexible API, because of this it's up to you on how you manage your state within an atom. 

Sometimes your state is complex enough to warrant a sophisticated library for safer abstraction. This is where you can install xstate to your application and Jotai will work seamlessly with the state machines that you define using `atomWithMachine`.

This allows you to consume the machine like any other atom in your components with `useAtom`. 

As an added bonus, I'll show you how to use xstate's visualizer to develop and interact with your state machine in dev tools. 


Handle Complex State in Jotai with XState using atomWithMachine

Joel and David chat about the big ideas and the essential questions of State Management and State Machines. Additionally, David also gives a walkthrough of XState, XState Visualizer, and the upcoming dev tools for XState.

## Key Terms

**XState -** is a library for creating, interpreting, and executing finite state machines and statecharts, as well as managing invocations of those machines as actors.

**State Machines** - a mathematical model of computation. It is an abstract machine that can be in exactly one of a finite number of states at any given time.

**Combinatorial Explosion -**  is the rapid growth of the complexity of a problem.

## Resources

- [davidkpiano/xstate](https://github.com/davidkpiano/xstate)

- [David K. 🎹](https://twitter.com/DavidKPiano)

- [davidkpiano - Overview](https://github.com/davidkpiano)

- [Stately Newsletter](https://www.stately.dev)

## Visuals Explanation

![](https://res.cloudinary.com/dg3gyk0gu/image/upload/v1618253832/transcript-images/state-management-2021-descriptions/state-machine-states-events-transitions-actions.jpg)

Source: [https://www.stately.dev](https://www.stately.dev/)

**These notes include:** highlights, expansion of key terms, code blocks, and links to additional resources. **They follow the same structure as the recording.**

## What are the big ideas of State Management?

- It all comes down to applying big ideas from the past, for example, State Machines.
- One of the biggest problems related to State Machines is performance.
- The problems with States are not new.

## Why is this hard to understand these problems?

- **There's a mathematical explication to this.** Once you have more than one piece of State in different places, you faced Combinatorial Explosion.
- **Combinatorial Explosion**

    A combinatorial explosion is the rapid growth of the complexity of a problem due to how the combinatorics of the problem is affected by the input, constraints, and bounds of the problem.

    Combinatorics is an area of mathematics primarily concerned with counting, both as a means and an end in obtaining results.

- An example of this is having ten main ingredients and having the output be 100 different dishes.
- **The most neglected variable is time when it comes to managing State.** We can only think about this in abstract ways.
- "We (developer) do most of the State management in our heads."
    - There's no concrete way to communicate our understanding of States. This is one of the reasons why we have State Machines.

## What are the Essential Questions when people work with State Management?

- First, identify all the pieces of State that you're dealing with.
    - How is this information organized?
    - How can this data change over time?
    - How can you model this data?

## What's a Finite State Machines?

- "XState is like Redux with Rules"
- A finite state machine is a mathematical model of computation that describes the behavior of a system that can be in only one state at any given time.
- Finite State, you can only be in one State at a time.
    - It's more of a mode, "I'm awake & I'm asleep."
- It also describes how one can move from one State to another.

## What's the difference between a State Machine and Statecharts?

- Finite State Machines can represent everything.
- Statecharts are a formalism for modeling stateful, reactive systems.
- David Harel presented this formalism as an extension to state machines in his 1987 paper [Statecharts: A Visual Formalism for Complex Systems](http://www.inf.ed.ac.uk/teaching/courses/seoc/2005_2006/resources/statecharts.pdf).
    - A way to organize your states. "Sub-States."
- **More resources:**
    - **[Finite-state machine](https://en.wikipedia.org/wiki/Finite-state_machine)** article on Wikipedia
    - **[Understanding State Machines](https://www.freecodecamp.org/news/state-machines-basics-of-computer-science-d42855debc66/)** by Mark Shead
    - **[▶️ A-Level Comp Sci: Finite State Machin](https://www.youtube.com/watch?v=4rNYAvsSkwk)**

## How are State Machine addressing the big ideas of State management?

- Event-Action approach doesn't always make sense. A State Machine has a specific way of transitioning.
    - A state transition defines what the next state is, given the current state and event. State transitions are defined on state nodes.
- **Communication** with humans and machines.
- **More resources:**
    - **[Statecharts: A Visual Formalism for Complex Systems](http://www.inf.ed.ac.uk/teaching/courses/seoc/2005_2006/resources/statecharts.pdf)** by David Harel
    - **[The World of Statecharts](https://statecharts.github.io/)** by Erik Mogensen
    - [Constructing the User Interface with Statecharts](https://www.amazon.com/Constructing-User-Interface-Statecharts-Horrocks/dp/0201342782) by Ian Horrocks
- **Combinatorial Explosion**
    - State Machines is not something new; it has been implemented across different industries.

## The Overlap of music and State Machines and Statecharts

- When you look at music, there are infinite ways to express a melody; inherently, there are rules.
- **Music makes you a better visual thinker.**
    - This is an example when it comes to modeling State solutions.
- Music is centuries old; its theory is old. Computer science is the music theory of programming.
    - Music theory answers why "this" works, much like when you start using a library, and you realized that it's an elegant solution to a specific problem.

## Building a Statecharts for JavaScript

- The inspiration came from David's first job working with repetitive workflows. Wanting to solve this problem led to researching State Machines.
- Early days it was called "Estado," the Spanish word for State.

## Demo of XState

[Code sandbox demo](https://codesandbox.io/s/exciting-tereshkova-cjpdf?from-embed)

- Normal React Development:

```html
    <div className="App">
      <h1>{toggled ? "Toggled" : "Nope"}</h1>
      <h2>
        {state.value} ({state.context.count})
      </h2>
      <button
        onClick={() => {
          send("TOGGLE");
        }}
      >
        Toggle
      </button>
    </div>
...
```

- The problem is the all the business logic is inside the event handle.
- If you have more business requirements, you'll need to add 'defense logic' to handle more use cases.

## Adding XState

```js
import { createMachine, assign } from "xstate";
import { useMachine } from "@xstate/react";

const toggleMachine = createMachine({
  initial: "untoggled",
  context: {
    count: 0
  },
  states: {
    untoggled: {
      on: { TOGGLE: "toggled" }
    },
    toggled: {
      entry: assign({
        count: context => context.count + 1
      }),
      on: {
        TOGGLE: "untoggled"
      },
      after: {
        1000: "untoggled"
      }
    }
  }
});
```

- `useMachine(machine, options?)` - a React hook that interprets the given machine and starts a service that runs for the component's lifetime.

```js
const [state, send] = useMachine(toggleMachine, { devTools: true });
console.log(state);
const [toggled, setToggled] = useState(false);
```

- We are creating an event-driven approach to handling toggles.
- All the logic is handle inside `toggleMachine`
- With State Machines everything is an event (time is an event).
- Existing machines can be configured by passing the machine options as the 2nd argument of `useMachine(machine, options).`

```jsx
context: {
    count: 0
  },
```

- We can add a side-effects `count: context => context.count + 1` without affecting our main State.

## XState Visualizer

![](https://res.cloudinary.com/dg3gyk0gu/image/upload/v1618256533/transcript-images/state-management-2021-descriptions/xstate-visualizer.png)

## What's the workflow for design States?

- Pen and paper work pretty well. Modeling the behavior of a user is complicated.

![](https://res.cloudinary.com/dg3gyk0gu/image/upload/v1618256586/transcript-images/state-management-2021-descriptions/workflow-for-design-states.png)

- **Dev Tools for XState (coming soon)**
    - CodeSandbox also works pretty well for prototyping state.

## When is XState not appropriate?

- You don't need a library to implement State Machines. You can use patterns in each language.
- XState becomes more valuable when representing Statecharts.
- XState version 5 will be smaller. It will be explicit, small, and fast.
- [See Twitter](https://twitter.com/DavidKPiano/status/1226182960111591426?s=20)

XState for State Management in React Apps with David Khourshid

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

[Finite State Machines](https://statecharts.github.io/what-is-a-state-machine.html) are an old concept in computer science that help you remain bug-free while you manage complex state interactions in your application. In this lesson, I'll show you how to implement one so you have an understanding of the fundamentals of what they do.

This is based on my blog post: [Implementing a simple state machine library in JavaScript](https://kentcdodds.com/blog/implementing-a-simple-state-machine-library-in-javascript)

Implement a simple Finite State Machine library in JavaScript

Actions are "fire-and-forget" side effects that are triggered by transitions. We set functions on a transition object's `actions` property to have them called when a transition is taken.

```javascript
//...
EVENT_NAME: {
  target: 'name-of-state-to-transition-to',
  actions: [(context, event) => { sideEffectToFire(context, event) }]
}
//...
```

Add Actions to Transitions to Fire Side Effects



Discover how to harness the power of Cursor IDE's Composer Agent feature to optimize your code. In this lesson, you'll witness an AI agent doing all the work to generate test suites, implement performance benchmarks, and create optimized function variations - all without writing a single line of code. You'll learn how to validate performance improvements through data-driven benchmarking, ensuring that optimizations are backed by concrete metrics rather than speculation. This hands-on demonstration showcases a groundbreaking approach to automated function development that combines the precision of test-driven development with the efficiency of AI-powered optimization.


Agent-Driven Development in Cursor: Testing, Benchmarking, and Optimizing Functions

This course is aimed for using `zod` effectively in projects based on TypeScript (both browser and node.js). The benefits you gain with this course is not just simply coding, but also understanding when/why/how should you perform runtime validation.

`zod` is the missing piece to TypeScript's capabilities, which can guarantee type-safety only in compile-time.

`zod` can be used whenever the compiler cannot guarantee what happens in runtime. And... it's a very frequent usecase, such as HTTP calls, websockets, etc.

In this course you get quickly up and running by:
1. using `zod` with primitives and objects
2. adapting `zod` quickly to existing projects thanks to automatic generators
3. changing the strategy frm type-first to schema-first
4. using error-throwing `parse` or non-error-throwing `safeParse` basing on your needs
5. applying `zod` to the most common usecase - validating API responses
6. handling errors the most convenient way (out of many!)

Take advantage of runtime validation with `zod`. Take advantage of the detailed lessons in this course 🔥

Effective Runtime Type Checks with Zod


Cursor can now automatically run commands in the terminal and walk step-by-step towards building out your entire project. You give it a goal, then it will suggest the commands you need to run and the files that you need to create and you can work with it to achieve what you're building. This lesson does a quick walkthough of using a Cursor Agent to build a project from scratch and guide it along the way. Cursor Agents definitely feel like a sneak peek at the future of programming!

Cursor Agents Initial Impressions - Allow an AI to Build Your Entire Project

Mock Service Worker is an API mocking library that allows you to write client-agnostic mocks and reuse them across any frameworks, tools, and environments.



Mocking WebSocket APIs with Mock Service Worker


While using anonymous functions might seem convenient, they can create difficulties when trying to identify performance bottlenecks during profiling. This lesson will demonstrate how named functions make it easier to pinpoint and address performance issues, ultimately leading to more efficient and debuggable code. Learning this practice will greatly improve your ability to locate and fix performance issues in complex projects.

Always Name Functions in JavaScript


When attempting to load the same module twice in JavaScript you'll hit a cache and code won't re-run. In scenarios where you actually do want to have state in your modules, you'll have to use a cache-busting technique by passing a query parameter to a dynamic import. This lesson walks through how to add a query parameter, how to add the appropriate types for loading dynamic modules in TypeScript, and when these techniques are valuable.

Import the Same JavaScript Module Multiple Times with Cache Busting



The include keyword in GitHub Actions empowers you to add custom variables to your matrix strategy, providing flexibility beyond standard configurations. In this video, we'll explore how include allows you to define specific combinations of variables, enhancing control over your workflow runs. You'll see how this feature enables you to tailor jobs for unique environments or scenarios not covered by the default matrix options. By leveraging include, you can efficiently manage complex build processes with greater precision. This technique helps you streamline your CI/CD pipeline, making it more adaptable to your project's evolving needs.

Use GitHub Actions Matrix Include for Complex Job Configurations

While running `zod` schema validation agains domain-rich objects, the error message saying that _a string is not a number_ might not be really useful.

Especially, when you need to provide a meaningful feeback to the user, e.g. after they have submitted a form with lots of data.

`zod` allows to customize messages on a very granular level. We can also extract repeatable customization to `zod` error maps.

Finally, in order to process an error message further (e.g. display it to the user), we need to handle the `zod` validation errors effectively. Especially, when a big object validation has failed and we could receive a handful of errors.

That's what we learn in this lesson. 🔥

Customize zod Error Messages and Handle zod Errors Effectively

customize zod validation messages, customize zod schema property messages, reuse error maps across different schemas, navigate through zod error objects

You might want to run `zod` schema checks in different styles.

Sometimes you prefer to conditionally throw the error - that's what `parse` does. But another time you'd prefer to receive a `boolean` property that determines whether the validation was successful or not - and perform further actions accordingly.

Additionally, the error-throwing API of `parse` works extremely well with [TypeScript assertion functions](https://www.typescriptlang.org/docs/handbook/release-notes/typescript-3-7.html#assertion-functions). Their combination is just... perfect! 👌

That's what we learn in this lesson.

Use parse and safeParse Runtime Type-checks with zod

use zod parse function to conditionally throw ZodError, use zod safeParse to get a boolean value and run typescript type guard over success property

In this lesson we learn that TypeScript cannot guarantee correct shapes of responses. That's due to TS performing checks in compile-time, while the response will be availbale in runtime - when TS doesn't exist anymore.

In some situations, such as HTTP requests, runtime type checks such as `zod` are essential for providing quick feedback around data-related errors.

Understand where are the possible mistakes to make while using TypeScript with HTTP calls. Use `fetch` and `axios` along with `zod` schema checks.

Also, note that similar mistakes or mistakes could happen while using web storage (e.g. `localStorage`)

Validate HTTP API Response with zod, fetch and axios

use zod as an HTTP response validation tool along with fetch and axios in order to make sure that the response has expected data structure

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