Learn Alpine, Clojurescript and Xstate

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

Alpine.js offers you the reactive and declarative nature of big frameworks like Vue or React at a much lower cost.

You get to keep your DOM, and sprinkle in behavior as you see fit.

alpine

Welcome to this beginner level series on Alpine JS! 👋🏞

Alpine JS is a rugged, minimal framework for composing JavaScript behaviour in your markup. It brings declarative, reactive, data-driven nature of libraries like React or Vue to your HTML templates.

This is the series intro video. Let's get started!

Series Intro - Beginner Level Alpine JS

In this lesson, we build a little app that fetches dog photos from the dog.ceo API, based on a "breed" search field. We want the API call to happen again when the search value changes, and to do so we use the `$watch` property from Alpine JS, which lets us define what state property we want to watch, and what callback function to run when a change happens.

We also use the `debounce` modifier on the `x-model` property to avoid firing an API call on each keystroke.

Refetch API data when a state value changes with the `$watch` property in Alpine JS

Welcome to this beginner level series on Alpine JS! 👋🏞

Alpine JS is a rugged, minimal framework for composing JavaScript behaviour in your markup. It brings declarative, reactive, data-driven nature of libraries like React or Vue to your HTML templates.

In this series, you will learn about Alpine's handy **directives**. You'll discover how to define a component scope with `x-data`, run code on mount with `x-init`, attach event listeners with `x-on`, display data with `x-text`, decide wether or not to show an element with `x-show`, iterate through data with `x-for`, retrieve a DOM element with `x-ref`, learn how to achieve _two-way data binding_ with `x-model`, and much more.

You'll also learn how **"modifiers"** can be applied and chained to directives to provide additional functionality: control the animation transition of entering and leaving DOM elements, debounce an event listener, etc.

We'll also touch on what Alpine calls **"magic properties"**, which give you access to native browser events (`$event`), reference to DOM elements (`$refs`), and more.

You'll gradually discover Alpine's API and syntax, from building simple tabs to a mini app that fetches a dog picture based on a "breed" search field. 🐶

**Get ready to breathe some fresh air** - it's time to walk into cool, green Alpine pastures! 🏞

Sprinkle declarative, reactive behaviour on your HTML with Alpine JS

In this lesson, we see how the `x-model` directive makes achieving "two-way data binding" effortless in Alpine JS.

We see what it would take to recreate the same functionality with an `x-bind` directive for the input value, as well as an `@input` event listener which, thanks to an access to the browser's native events via the `$event` magic property, sets the state value to `$event.target.value`.

Keep a DOM input and state value in sync with the `x-model` directive in Alpine JS

In this lesson, we learn how to retrieve a DOM element via the `x-ref` directive in Alpine JS, which gives us a reference to the element it is applied on. In our case, an input field.

We can then use the `$refs` object, and reach for the ref we need to target.

This allows us to trigger the focus state of the input field, with the `.focus()` method.

Focus an input field on button click with `x-ref` and the `$refs` property in Alpine JS

In this lesson, we learn how the `x-init` directive in Alpine JS lets us run a JavaScript expression once the component has initiated.

We see the nuances that allow us to trigger that code before Alpine performs initial DOM updates, or after these updates have been made.

Focus in input field on page load with `x-init` in Alpine JS

In this lesson, we smoothen the transitions between tabs by applying a `transition` modifier to our `x-show` directive.

We see how we can ignore the leaving elements, and focus the animation on the entering elements. We tweak the transition duration and origin by chaining additional modifiers to our `x-show` directive.

Control enter and leave transitions with the `x-show.transition` modifier in Alpine JS

In this lesson, we create a set of tabs with Alpine JS, where only the content of the currently active tab is visible. To do this, we define an `activeTab` state value with `x-data. We then wire up our buttons to change the value of `activeTab` on click, and use `x-show` to determine if the tab content should be visible or not, based on the value of `activeTab`.

We also take control of the `class` attribute with `x-bind`, and we conditionally output an "active" class based on, you guessed it, the value of `activeTab`.

Toggle visibility and styles based on state with `x-show` and `x-bind` in Alpine JS

In this lesson, we define a "count" state value with the `x-data` directive provided by Alpine JS. This defines a new scoped component, which can have access to this state.

We then display the "count" value in our HTML with the `x-text` directive, which updates an element's `innerText` value.

We also hook up buttons with click event listeners with `x-on:click`, which allows us to modify the count value as desired.

Update a count state value with the x-on event listener directive in Alpine JS

In this lesson, we move the component definition to a function, defined in a script tag in the HTML document.

We then iterate through an Array of Objects with the `x-for` directive in Alpine JS. We use a `<template>` tag to wrap the HTML element we want to repeat for each item, and put the `x-for` directive on that template tag.

We also define a "computed" property by adding a method on our function, which checks if a given ID matched the currently active tab id. This computed property allows us to determine wether or not to apply the "active" classname to our tab buttons.

Iterate through data with the `x-for` attribute in Alpine JS

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

Actions aren't limited to being called on transitions. They can also be called when we enter or exit a state node. This is done through the `entry` and `exit` properties.

The API for `entry` and `exit` actions is the same as that for `actions` on transitions. It can receive a single function or an array of functions, each which will be called with the next `context` and the `event` object that caused the transition.

This is a powerful way to fire side effects based on states rather than transitions.

```javascript
//...
states: {
  broken: {
    entry: [
      (context, event) => {
        sideEffectToFireWhenWeEnterTheBrokenState(context, event)
      }
    ],
    exit: [
      (context, event) => {
        sideEffectToFireWhenWeExitTheBrokenState(context, event)
      }
    ]
  }
}
```

Trigger Actions When Entering and Exiting a XState State

As our state machines grow more complex, we might find ourselves in a situation where a state should only exist if the machine is already in another state. To do this, we can use hierarchical states.

Instead of attempting to define all the states of a machine at a top level, we can nest states that should only be available as children of a parent state. These substates are written _exactly_ like the states of the top level of a machine: with an `initial` property, and the `states` of the nested state graph.

Using hierarchical states is a great way to avoid needing to check for booleans in an application. If a state can only exist when another state exists, consider if the one isn't in fact a child of the other.

Simplify State Explosion in XState through Hierarchical States

Generally speaking, state machines do not and should not have a sense of _time_. They are intended to be pure functions that receive a state and event and return the next state. Pure functions by design have no sense of _history_.

Yet, it is occasionally useful to return to a previous state. How is this accomplished? With history state nodes. Each state object returned by XState contains a special property that points to the previous state. When a history state node is defined and is the target of a transition, the machine returns to this previously stored state.

We can create a history node by defining the `type` as `history`, and setting the `history` property to either `shallow` (the default) or `deep`.

Recall Previous States with XState History States Nodes



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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