 Courses from Fabian Gosebrink

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

Providing real time information to your Javascript apps with [ASP.NET Core SignalR](https://www.npmjs.com/package/@microsoft/signalr). With ASP.NET Core and SignalR you can add real time functionality with ease and keep your application up to date without letting the clients reloading their page manually.

Expose Values for Real-time Consumption with SignalR in ASP.NET Core

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.

angular

Having a Continuous Integration and Continuous Delivery Pipeline for your applications is one of the most important things when working on small as well as large projects. In this course you will learn how to set up a build of an AngularCLI project with Visual Studio Team Services and release it to an existing Azure Web App in the end.

Get your first free Azure subscription here: https://azure.microsoft.com/de-de/free/

Continually Deploy an Angular Project to Azure with Visual Studio Team Services CI/CD

ASP.NET is an open source web framework for building modern web apps and services with .NET. ASP.NET creates websites based on HTML5, CSS, and JavaScript that are simple, fast, and can scale to millions of users.

asp-net

ASP.NET Core SignalR can push events from the server into your Client Application. In this video we will build a client side Todo app with Angular which consumes events from a ASP.NET Core SignalR backend to see how we can consume and synchronize data between our client side Angular Applications.

Consume ASP.NET Core SignalR values in an Angular Application

If you want to improve a REST API beyond GET/POST&PUT and DELETE the next step would be adding the push functionality to send new data into your web applications. With ASP.NET Core and SignalR you can add this functionality with ease and keep your application up to date without letting the clients reloading their page manually.

[signalr npm](https://www.npmjs.com/package/@aspnet/signalr), [signalr Core](https://www.nuget.org/packages/Microsoft.AspNetCore.SignalR.Core/)

[archived] Expose Values for Real-time Consumption with SignalR in ASP.NET Core

At some point in your application, you need to receive values form a REST API and display it in your angular components. In this lesson, you will learn how to build a data-service to receive data from an ASP.NET Core endpoint and display in your webapi.

Click here to see how to create an ASP.NET API: [Create an ASP.NET Core WebAPI with the dotnet cli and Visual Studio Code](https://egghead.io/lessons/angular-create-an-asp-net-core-webapi-with-the-dotnet-cli-and-visual-studio-code)



Display Values from an ASP.NET Core API in your Angular Components

To build a quick backend solution which we can communicate with can sometimes be challenging and takes a lot of time. In this course we will learn how we can create an ASP.NET Core WebAPI with the dotnet command line interface and how we can query our first data from that REST endpoint.

To see how to consume this ASP.NET endpoint: [Display Values from an ASP.NET Core API in your Angular Components](https://egghead.io/lessons/angular-display-values-from-an-asp-net-core-api-in-your-angular-components)

Create an ASP.NET Core WebAPI with the dotnet cli and Visual Studio Code

In this lesson you will learn how to create a presentational component out of an existing smart component to possibly reuse the presentational template in other parts of your angular application. 

Learn how to create a smart component in Angular with: [Create Smart Components with Angular](https://egghead.io/lessons/angular-create-smart-components-with-angular)

Refactor an Angular Smart Component to use a Presentational Component

In this lesson you will learn the basics to create smart and presentational components. Smart and presentation components are a basic design concept of angular applications and will help you to implement your application in a structured and maintainable way.

Learn how to create presentational components in the next lesson [Refactor an Angular Smart Component to use a Presentational Component](https://egghead.io/lessons/angular-refactor-an-angular-smart-component-to-use-a-presentational-component)

Create Smart Components with Angular

Warning: AI's make mistakes. Some of them can be _very_ costly. Terminal have access to your most private information, especially if you're using a "work computer". Please proceed with extreme caution!

Cursor's new "YOLO" feature It allows you to enter an AI prompt and then just sit back and watch as an AI will run terminal commands automatically. The AI will automatically install packages, automatically start and stop dev servers, and even check the output of the terminal commands to run subsequent terminal commands and attempt to fix them.

Traditionally, this is some of the most critical, but also some of the most boring work that a developer has to do, especially when it comes to memorizing all of the various syntax and all of their various commands that you need to know. In larger projects, it's even really easy to forget which commands are even available. So handing all this work over to an AI is a natural step in the evolution of development. But again, please be extremely cautious with these features as there are a million ways that everything could go terribly, horribly wrong.

AI YOLO - Sit Back and Watch Cursor Automatically Run Terminal Commands

GitIngest (https://gitingest.com/) is an awesome tool that allows you to batch together files from a GitHub repo in order to use them with AI tools. This lesson walks through use Git Ingest against a repository that's too large for an AI, so it configures options to narrow down to only the files that you need for your task. Then we'll use Gemini's latest Flash 2.0 model to generate a new project based on the examples we grabbed from the GitHub repo.

Use Gemini to Analyze a GitHub Repo with GitIngest

Manage column visibility in tables using [Tanstack Table](https://tanstack.com/table/v8/docs/guide/columns). Toggle each column's visibility with checkboxes, set some as non-hideable, or hide them by default. Adjust properties in the table code to control displayed columns. 

Install [Shadcn's Switch](https://ui.shadcn.com/docs/components/switch) component to render nice looking switches instead of plain html check boxes.


Hide and Show Columns with Tanstack Table

Learn to hide and show columns in an HTML table with Tanstack Table. Render switch components with shadcn. 

When comparing two visually similar websites, it can often be challenging to precisely identify the subtle differences between them. To facilitate a rapid analysis of these discrepancies, a practical technique involves leveraging Chrome's integrated developer tools to capture full-page screenshots of each site. Subsequently, these screenshots can be uploaded to a platform like AI Studio. There, the AI can analyze the images and generate a report detailing the variations. This entire process, leveraging a few quick shortcuts, can be completed in under a minute, delivering a comprehensive breakdown of the differences for efficient comparison and analysis.

Quickly Compare Two Sites Using AI Studio with Chrome Full Page Screenshots

It's fairly trivial to create a React project, but there's always a big hurdle between creating it locally and making it shareable so that someone else can run it. This lesson walks you through the process of automating creating a React project locally, creating the repository where it's going to be hosted, and creating shareable links where it can be run so that you can quickly and easily create single one-off demos and shoot them over to your friends and coworkers for sharing your code ideas in a working environment.


```bash
share-react-project() {
  if [[ -z "$1" ]]; then
    echo "Usage: share-react-project <project_name>"
    return 1
  fi

  local project_name="$1"
  local github_username=$(gh api /user --jq '.login')

  echo "Creating Vite project: $project_name"
  pnpm create vite "$project_name" --template react

  cd "$project_name"

  echo "Initializing Git repository"
  git init

  echo "Adding all files to Git"
  git add .

  echo "Creating initial commit"
  git commit -m "Initial commit"

  local codesandbox_link="https://codesandbox.io/p/github/${github_username}/${project_name}"

  echo "Adding CodeSandbox link to README.md"
  echo "" >> README.md
  echo "## CodeSandbox" >> README.md
  echo "[![Open in CodeSandbox](https://assets.codesandbox.io/github/button-edit-blue.svg)](${codesandbox_link})" >> README.md

  echo "Adding README.md to Git"
  git add README.md

  echo "Committing README.md changes"
  git commit -m "Add CodeSandbox link"

  echo "Creating GitHub repository: $github_username/$project_name"
  gh repo create "$github_username/$project_name" --public

  echo "Pushing to remote 'origin'"
  git push -u origin main

  echo "Project '$project_name' created successfully!"
  echo "GitHub repository: https://github.com/$github_username/$project_name"
  echo "CodeSandbox link: $codesandbox_link"
}
```

Automate Creating a Local React Project, GitHub Repository, and Live Hosted Demo in a Single Command

[Verdaccio](https://verdaccio.org/) is a fully featured NPM registry that you can run locally on your machine. It’s a great tool for testing your release process, running end-to-end tests, and simulating real-world scenarios like deploying packages, installing them, and verifying functionality as an end user would.

Nx includes a [generator](https://nx.dev/features/generate-code) that simplifies setting up Verdaccio. To configure it, run:

```shell
npx nx g @nx/js:setup-verdaccio   
```

This command installs the necessary NPM packages and creates a `project.json` file with a `local-registry` target. To start the local registry, open a new terminal window and run:

```shell
npx nx local-registry
```

This will:
- Launch the Verdaccio registry.
- Configure NPM to point to the local Verdaccio server at `http://localhost:4873`.

> **Note:** A `project.json` file provides an advanced way to define scripts, offering more flexibility than a traditional `package.json` for managing complex targets.

Setup local Verdaccio server to release NPM packages

Learn how to spin up a local NPM registry powered by Verdaccio to test deploy your NPM packages.

In TypeScript, developers often begin by defining the structure of their data using type definitions or interfaces, which is a powerful way to ensure type safety. However, as applications grow and become more complex, simply defining the shape of an object might not be enough to guarantee its consistent creation and behavior throughout the codebase. This often leads to situations where objects that are intended to be of a certain "type" might be missing crucial properties or have incorrect data, which can be difficult to track down and debug.

This lesson tackles the question of when and why to move beyond basic type definitions and embrace classes in TypeScript. It demonstrates how classes provide a more robust mechanism for defining object structure, enforcing type constraints, and ensuring consistent object creation. By establishing a clear blueprint for objects, classes not only improve compile-time type safety but also offer runtime benefits and better code organization, ultimately helping developers avoid common pitfalls associated with loosely structured objects in larger TypeScript projects.

Stop Avoiding Classes in TypeScript

Karabiner isn't only for your keyboard. It can also hijack your mouse buttons and enable them to be similar to layers on your keyboard, where holding down a mouse button can allow you to tap keys on your keyboard to trigger commands and macros that can completely revolutionize your workflows. For example, you can hold down the right mouse button and tap on R to go to references in VS Code. Or hold down the right mouse button and tap the left mouse button to chop up videos and Screenflow.

This completely unlocks a whole new world of possibilities and use cases for your mouse as you can hover your mouse over anywhere on the page. And just tapping keys on your keyboard allows you to trigger mouse actions, to trigger keyboard actions, or to trigger macros and applications and terminal commands. and anything that your imagination can come up with. 

Karabiner: Rethinking Right-Click as a Macro Command Center

Make an HTML table more readable on mobile devices by using the ::before pseudo-element. We add labels to each cell, so they appear like cards when the table is viewed on smaller screens. The ::before content is set using a data-label attribute for each cell to enhance mobile viewability without horizontal scrolling.



Create a mobile friendly table with the before pseudo-element

Learn to use CSS ::before pseudo-element for mobile-friendly HTML tables. Add labels to cells for enhanced readability on mobile, avoiding horizontal scroll.

Any app of a decent size has event flows and messages being passed around. At a certain point it becomes complicated to explain it through prose and you want to turn towards diagrams. Now setting aside the time to create diagrams that accurately describe what's happening in your codebase can be quite time consuming. Luckily, with today's AI tools, we can now just do basic walkthroughs with rough recordings over codebase dictating what's going on along the way and then upload that to tools like AI Studio and then ask it to generate diagrams in a text-based format such as Mermaid that will then generate the flowcharts and diagrams for us. So this video walks us through this process of recording a rough video, uploading it to AI Studio and then asking AI Studio to generate the proper Mermaid diagram syntax.

Fabian Gosebrink

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