Learn Angular, Javascript and Reactfire

This course is perfect for those looking for a lightweight alternative to NgRx Store that scales effortlessly.

Angular is a development platform for creating applications using modern web standards. Angular includes a wealth of essential features such as mobile gestures, animations, filtering, routing, data binding, security, internationalization, and beautiful UI components. It's extremely modular, lightweight, and easy to learn.

Scalable Signals Angular Architecture with NGRX Signal Store

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 new [cause](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Error/cause) data property that you can add to a thrown `Error` can be used to retain access to the original error caught in a promise rejection. 

Improve Application-wide Error Handling rethrowing JavaScript Error with the Error Cause

You can finally make your numbers more readable in JavaScript. Add underscores in all types of numbers including BigInt, floats, hexes, octals, and binary to improve their readability. 

Just don't add the underscores to the beginning or end!

Make JavaScript Numbers more readable using Numeric Separators

[Promise.any](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Promise/any) takes an iterable of promises and returns a promise that fulfills with the first promise that fulfills, and rejects when ALL of the promises in the iterable reject. 

[Promise.allSettled](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Promise/allSettled) takes an iterable of promises, and returns an array of objects. The objects have a `status` property which is a string that is either `"fulfilled"` or `"rejected"`. If the `status` is `"fulfilled"` the object will contain a `value` property with the resolved value of the promise, and if the `status` is `"rejected"` the object will have a `reason` property with the reason for the promise's rejection. 

Manage Asynchronous JavaScript code with any, allSettled new Promise Methods

If we want to be able to modify the state of a promise from outside the constructor, we can use the [Promise.withResolvers](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Promise/withResolvers) method to get access to the promise, and its `resolve` and `reject ` functions. 



Manually settle a promise using Promise.withResolvers

The [Logical Assignment Operators](https://github.com/tc39/proposal-logical-assignment) bring syntactic sugar over verbose syntax which enforced us to write explicit `if` statements. Thanks to the new operators `||=`, `&&=` and `??=` we can express the conditional logic in a more concise way.

Simplify JavaScript code with Logical, Assignment and Optional Operators

The new [Array.with](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/with) method gives you an immutable syntax for changing values of an array at a specified index. 

Sometimes `.map` will be more efficient. So, in this lesson we'll compare both methods while replacing an object at a specific index.


Simplify array immutable changes with the new array.with method

You no longer need to write generator functions to create basic lazy iterator functions.

Now, ECMAScript supports iterator helpers that you can call on `Array.values()`. With these helpers, the values of an array will be operated on lazily, and will only run when the values are needed.



Make JavaScript computations lazy using Iterator Helpers

The ["Set Methods"](https://github.com/tc39/proposal-set-methods) proposal introduces 7 new methods to JavaScript/ECMAScript:
- `union`
- `intersection`,
- `difference`,
- `symmetricDifference`,
- `isSubsetOf`
- `isSupersetOf`
- `isDisjointFrom`

Thanks to them, complex operations using JavaScript sets will become much easier.

Perform Set Operations using JavaScript Set Methods

Finding elements starting from the end of an array has gotten a lot easier with the introduction of the `at`, `findLast`, and `findLastIndex` methods!

With `at` you no longer need to remember to access the end of the array like `array[array.length - 1]` trick. You can just call `.at[-1]` to get the last element!

`findLast` and `findLastIndex` work the same as their `find` and `findIndex` counterparts. But, they work backwards from the end of the array. This is useful if you know what you're accessing is going to be closer to the end.

Find Items from the end of the JavaScript Array using at, findLast and findLastIndex

[Array Grouping](https://github.com/tc39/proposal-array-grouping) is the new feature of JavaScript/ECMAScript, which splits an array (or, generally, an iterable), into smaller sub-arrays. Grouping is different than other JS array methods - it's *not* a part of the array prototype, but a static method.

Group data by keys using JavaScript Array Grouping (Object.groupBy)

Learn how the latest JavaScript features can help you improve your codebase. 

Learn the Latest ECMAScript Features (ES2024, ES2023, ...)

angular

Using Angular's `toSignal` function with the HTTP client enables components to reactively fetch and display data from external services. 

This approach simplifies code and handles undefined initial values, but note that `toSignal` immediately subscribes and makes the HTTP request when used. So, keep in mind if you're using it in a component or some root level service.

Fetch Data via HTTP Using RxJS Observables and toSignal

The `toSignal` function in Angular enables the conversion of an RxJS observable into a signal. 

It allows you to wrap an observable and handle the initial value of the resulting signal. You can explicitly define the initial value, require a synchronous emission from the observable, and more! 

Turn an RxJS Observable Into an Angular Signal With toSignal

Angular's `toObservable` function enables converting signals to RxJS observables. This allows creating observable properties that stay synchronized with signal values. 

Whenever the signal value changes, the corresponding observable emits a notification, facilitating the interoperability between signals and observables.

Turn an Angular Signal Into an RxJS Observable

In Angular, effects are often assigned to class properties during the constructor phase. However, there may be cases where the effect needs to be parameterized with values from parent components, which are not available during construction.

When running effects outside the constructor, such as in the `ngOnInit` lifecycle hook, you need to manually provide the `injector` instance to the `effect` configuration.

Bind an Angular Signal Effect to an Injector for Automatic Cleanup

Angular provides a `manualCleanup` configuration option for effects, preventing automatic cleanup when the owner component/service is destroyed. 

With `manualCleanup: true`, you gain control but must manually call `.destroy()` on the `EffectRef` that is returned by your `effect` to release resources like intervals or subscriptions. 

Remember, with great power comes great responsibility!

Destroy an Angular Signal Effect Automatically or Manually

Sometimes you will need to properly clean up your effects to prevent memory leaks. Like if you use timeouts or intervals. 

Implement cleanup logic using the `onCleanup` callback. In your effect you can call `onCleanup`, pass it a callback, and define actions like clearing intervals or unsubscribing from observables when effects are no longer needed. 

Set up an Angular Signal Effect Cleanup Handler

You may find that you need to implement similar effects across multiple components or services. To avoid code duplication, you can create reusable effect functions.

A reusable effect function should:

1. Accept any necessary configuration parameters (e.g., a key for local storage synchronization).
2. Accept a function that retrieves the reactive value(s) to track (e.g., a signal getter).
3. Set up and return the effect, using the provided configuration and reactive value getter.

Create a Reusable Angular Effect

Angular's reactive signals provide a way to manage state, but you may also want to persist that state across page refreshes or browser sessions. 

This can be achieved by synchronizing the signal's value with the browser's local storage using an `effect`

Synchronize Angular Signal or Computed Value With LocalStorage Using Effect

Angular's reactive signals provide a way to manage state and automatically update the view when the signal value changes. However, you can customize how Angular determines if a signal's value has changed by configuring the signal's `equal` property.

For example, you can use the `lodash.isEqual` function to perform a deep equality check, ignoring changes in object or array references if the contents remain the same. 

Make an Angular Signal Compare Object Values Instead of References

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

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

In this lesson, you'll learn how to leverage the GitHub CLI to efficiently search through issues across multiple repositories and use that data with AI Studio for deeper insights.

The lesson covers:

- Using GitHub CLI to search for specific issues across repositories
- Filtering issues based on criteria like comment count
- Extracting issue content and comments
- Using the collected data as context in AI Studio
- Creating practical applications like FAQs from issue discussions

The example demonstrates creating a Framer Motion FAQ by searching GitHub for issues with multiple comments, but the technique can be applied to any framework or library.

This workflow helps developers:
- Research common problems and solutions
- Understand recurring issues in specific technologies
- Generate useful documentation from real-world problems
- Make better use of existing GitHub discussions

This approach combines the power of GitHub's vast knowledge base with AI tools to create valuable insights for development work.

Search 100s of Issues with GitHub CLI as Context for AI Studio

I often find myself wondering how to use certain APIs in certain situations, and I have a couple of keywords that I try and search up on Google. And what you can really do in this situation is turn to GitHub and see how other people have actually used this code on public projects. The GitHub CLI enables us to run searches like this, and we can take the results and work on them programmatically. And inside of Cursor with their Composer AI agent, we can search for the files we want, and we can tell the agent to download them and then work on them and inspect them and teach us how those things work together.

Search All of GitHub's Code and Pass the Results to AI Agents in Cursor

Implement virtual scrolling to handle large datasets in an HTML table. Start with a basic table that renders 10,000 rows of data. The browser can struggle with this amount of DOM nodes to render at one time, especially on low end devices. 

We implement tanstack react virtual to render only the necessary amount of rows the user is viewing. The implementation includes proper column sizing, accessibility considerations, and convenient scroll controls, resulting in a smooth and performant table experience regardless of the dataset size.

Create a row virtualized HTML table with Tanstack Virtual

Learn how to implement virtual scrolling in React tables using TanStack Table and Tanstack Virtual with the useWindowVirtualizer React hook.

The most difficult tasks will require the strongest AI models. And those models simply aren't available as AI agents inside of your tooling. So the best workflows are to drag and drop the files you need to be changed and analyzed inside of a reasoning model such as OpenAI's O1 Pro, then letting it create a giant plan for your dumber AI agents to work on. The key here is that instead of just copying and pasting the entire plan into Cursors Composer or your AI agent, it's to create a file inside of your project and ask your agent to tackle the plan one step at a time. This allows you ample opportunity between each step to test and verify the micro steps along the way. Otherwise, as I've experienced many times, a session can go way off track and you burn a lot of time and burn a lot of AI requests Cursors Composer and it starts churning through a plan Cursors Composer and making lots of unwanted changes. Cursors Composer and it's to guide an AI agent to hold its hand along the way, especially through the most complex tasks. Cursors Composer and the most complex tasks Cursors Composer and the most complex tasks require a step-by-step plan.

Planning AI Agent Sessions with Reasoning Models

AI agents will inevitably make mistakes—it's just a matter of when. A key tool in your toolbox, once they do make mistakes after working on a problem for a while, is to use **git diff** to capture all of the changes they've made. 

Once you have those changes in a text file, you have a portable document that you can test against other AI models. This allows you to move the problem into smarter reasoning models with smaller context windows, helping you isolate and focus on the issue at hand.

**git diff** has been invaluable when working with AI agents because they'll often make many good changes but also slip in one tiny error. Finding that one small mistake is **git diff**’s superpower.

Leverage Git Diff to Fix AI Agents' Mistakes

AI agents are notorious for getting tasks done, but also taking some shortcuts in TypeScript, and falling back to using things like Any, which you might not want in your codebase. This creates a scenario when it's done all of the work, you've tested and verified everything, but it's left you with many things untyped. So in this situation, when you run git commit, you can set up a commit hook to expose all of the linting, expose all of the TypeScript errors. And then you just let the AI agent run that commit hook and it can find all of the mistakes that it made. And go through And fix everything without you ever having to touch the code. This lesson covers a real world scenario of a commit hook running based on a refactor that was made when extracting some types. And it shows how running commit with an agent, if you allow the commit to give exhaustive information on what went wrong, the agent can continue on and make all the changes for you.

Commit Hooks are Critical with AI Agents in Cursor

If you ever want to see data represented in a certain way, such as a chart or a graph, to better understand what's going on in the world, you can use AI's to grab the most recent data and then convert it into any visual format you want. This is enabled in AI studio with Gemini through what's called grounding from web search, structured output formatting data, and code execution, which can run Python and generate charts. This lesson is going to walk you through the challenges of using grounding, especially when working with numbers which need to be accurate. How you can use image recognition and convert that to structured output. And then the challenges of using code execution. Especially when AI's are confident that the code ran even though the code failed. At the end, we still get to generating a chart through the online editor and then we take it also to set up in Cursor in a local environment where we can run all the way through YOLO mode and just click around some buttons and get our chart.

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