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Double Click: Web 3 is Coming! But is it Over Hyped?

Welcome to the Double Click! This is the weekly blog series that shines a spotlight on emerging technologies, technological concepts, and community projects that enrich the JavaScript Ecosystem!

This week, we're talking about all of the hype and controversy surrounding Web 3, or the future of the web. If you are just hearing about Web 3 for the first time, it is the concept that the "web" as we know it, will eventually be composed largely of decentralized applications and tokenized systems that allow users to engage in peer-to-peer interactions without the use of enterprise sites and services.

I know this might seem vague, but it might make more sense if we consider that "Web 1" was the period of time when the internet consisted of usenets and message boards, and "Web 2" occured as enterprises began digital products to create an interfaceable internet.

"Web 3" now refers to a potential future where most of our web interactions will be facilitated by machines and decentralized protocols rather than centralized services, such as those owned by banks and payment processors.

I am extremely excited about the potential that blockchain technologies have to revolutionize the web as we know it. If you follow any of my recent blog posts, you will know that I am a huge proponent of decentralized applications, and even offer Solidity development services through This Dot Labs.

That being said, developers who are just getting into the industry do not need to worry that all of their hard work learning JavaScript and frameworks was for naught.

Though blockchain will only continue to grow in popularity and expand in functioning, we're not quite on the doorstep of a web revolution that will fundamentally change the sort of skills and expertise needed on the market. We will still need centralized applications, web sites, mobile applications, and more for quite a while.

However, if you are interested in becoming an early blockchain adopter, there are tons of opportunities to become involved. With all of the Web 3 hype, there are hundeds of new projects and companies popping up with opportunities for developers.

But if you aren't quite ready to make the full leap into this pioneering space, you can contribute to blockchain community projects, such as those offered by various networks and tokens, or building your own decentralized application. After all, JavaScript and Solidity use nearly identical syntax!

But what do you think? Do you believe we're on the precipice of a great new web development revolution, or are you not quite buying the hype yet? Be sure to let me know by tweeting me at @ladyleet.

This Dot Labs is a development consultancy that is trusted by top industry companies, including Stripe, Xero, Wikimedia, Docusign, and Twilio. This Dot takes a hands-on approach by providing tailored development strategies to help you approach your most pressing challenges with clarity and confidence. Whether it's bridging the gap between business and technology or modernizing legacy systems, you’ll find a breadth of experience and knowledge you need. Check out how This Dot Labs can empower your tech journey.

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How to automatically deploy your full-stack JavaScript app with AWS CodePipeline cover image

How to automatically deploy your full-stack JavaScript app with AWS CodePipeline

How to automatically deploy your full-stack JavaScript app from an NX monorepo with AWS CodePipeline In our previous blog post (How to host a full-stack JavaScript app with AWS CloudFront and Elastic Beanstalk) we set up a horizontally scalable deployment for our full-stack javascript app. In this article, we would like to show you how to set up AWS CodePipeline to automatically deploy changes to the application. APP Structure Our application is a simple front-end with an API back-end set up in an NX monorepo. The production built API code is hosted in Elastic Beanstalk, while the front-end is stored in S3 and hosted through CloudFront. Whenever we are ready to make a new release, we want to be able to deploy the new API and front-end versions to the existing distribution. In this article, we will set up a CodePipeline to deploy changes to the main branch of our connected repository. CodePipeline CodeBuild and the buildspec file First and foremost, we should set up the build job that will run the deploy logic. For this, we are going to need to use CodeBuild. Let's go into our repository and set up a build-and-deploy.buildspec.yml` file. We put this file under the `tools/aws/` folder. `yaml version: 0.2 phases: install: runtime-versions: nodejs: 18 on-failure: ABORT commands: - npm ci build: on-failure: ABORT commands: # Build the front-end and the back-end - npm run build:$ENVIRONMENTTARGET # TODO: Push FE to S3 # TODO: Push API to Elastic beanstalk ` This buildspec file does not do much so far, we are going to extend it. In the installation phase, it will run npm ci` to install the dependencies and in the build phase, we are going to run the build command using the `ENVIRONMENT_TARGET` variable. This is useful, because if you have more environments, like `development` and `staging` you can have different configurations and builds for those and still use the same buildspec file. Let's go to the Codebuild page in our AWS console and create a build project. Add a descriptive name, such as your-appp-build-and-deploy`. Please provide a meaningful description for your future self. For this example, we are going to restrict the number of concurrent builds to 1. The next step is to set up the source for this job, so we can keep the buildspec file in the repository and make sure this job uses the steps declared in the yaml file. We use an access token that allows us to connect to GitHub. Here you can read more on setting up a GitHub connection with an access token. You can also connect with Oauth, or use an entirely different Git provider. We set our provider to GitHub and provided the repository URL. We also set the Git clone depth to 1, because that makes checking out the repo faster. In the Environment` section, we recommend using an AWS CodeBuild managed image. We use the Ubuntu Standard runtime with the `aws/codebuild/standard:7.0` version. This version uses Node 18. We want to always use the latest image version for this runtime and as the `Environment type` we are good with `Linux EC2`. We don't need elevated privileges, because we won't build docker images, but we do want to create a new service role. In the Buildspec` section select `Use a buildspec file` and give the path from your repository root as the `Buildspec name`. For our example, it is `tools/aws/build-and-deploy.buildspec.yml`. We leave the `Batch configuration` and the `Artifacts` sections as they are and in the `Logs` section we select how we want the logs to work. For this example, to reduce cost, we are going to use S3 logs and save the build logs in the `aws-codebuild-build-logs` bucket that we created for this purpose. We are finished, so let's create the build project. CodePipeline setup To set up automated deployment, we need to create a CodePipeline. Click on Create pipeline` and give it a name. We also want a new service role to be created for this pipeline. Next, we should set up the source stage. As the source provider, we need to use GitHub (version2)` and set up a connection. You can read about how to do it here. After the connection is set up, select your repository and the branch you want to deploy from. We also want to start the pipeline if the source code changes. For the sake of simplicity, we want to have the Output artefact format as CodePipeline default. At the Build stage, we select AWS CodeBuild` as the build provider and let's select the build that we created above. Remember that we have the `ENVIRONMENT_TARGET` as a variable used in our build, so let's add it to this stage with the `Plaintext` value `prod`. This way the build will run the `build:prod` command from our `package.json`. As the `Build type` we want `Single build`. We can skip the deployment stage because we are going to set up deployment in our build job. Review our build pipeline and create it. After it is created, it will run for the first time. At this time it will not deploy anything but it should run successfully. Deployment prerequisites To be able to deploy to S3 and Elastic Beanstalk, we need our CodeBuild job to be able to interact with those services. When we created the build, we created a service role for it. In this example, the service role is codebuild-aws-test-build-and-deploy-service-role`. Let's go to the IAM page in the console and open the `Roles` page. Search for our codebuild role and let's add permissions to it. Click the `Add permissions` button and select `Attach policies`. We need two AWS-managed policies to be added to this service role. The `AdministratorAccess-AWSElasticBeanstalk` will allow us to deploy the API and the `AmazonS3FullAccess` will allow us to deploy the front-end. The `CloudFrontFullAccess` will allow us to invalidate the caches so CloudFront will send the new front-end files after the deployment is ready. Deployment Upload the front-end to S3 Uploading the front-end should be pretty straightforward. We use an AWS CodeBuild managed image in our pipeline, therefore, we have access to the aws` command. Let's update our buildspec file with the following changes: `yaml phases: ... build: on-failure: ABORT commands: # Build the front-end and the back-end - npm run build:$ENVIRONMENTTARGET # Delete the current front-end and deploy the new version front-end - aws s3 sync dist/apps/frontend/ s3://$FRONTEND_BUCKET --delete # Invalidate cloudfront caches to immediately serve the new front-end files - aws cloudfront create-invalidation --distribution-id $CLOUDFRONTDISTRIBUTION_ID --paths "/index.html" # TODO: Push API to Elastic beanstalk ` First, we upload the fresh front-end build to the S3 bucket, and then we invalidate the caches for the index.html` file, so CloudFront will immediately serve the changes. If you have more static files in your app, you might need to invalidate caches for those as well. Before we push the above changes up, we need to update the environment variables in our CodePipeline. To do this open the pipeline and click on the Edit` button. This will then enable us to edit the `Build` stage. Edit the build step by clicking on the edit button. On this screen, we add the new environment variables. For this example, it is aws-hosting-prod` as `Plaintext` for the `FRONT_END_BUCKET` and `E3FV1Q1P98H4EZ` as `Plaintext` for the `CLOUDFRONT_DISTRIBUTION_ID` Now if we add changes to our index.html file, for example, change the button to HELLO 2`, commit it and push it. It gets deployed. Deploying the API to Elastic Beanstalk We are going to need some environment variables passed down to the build pipeline to be able to deploy to different environments, like staging or prod. We gathered these below: - COMMIT_ID`: `#{SourceVariables.CommitId}` - This will have the commit id from the checkout step. We include this, so we can always check what commit is deployed. - ELASTIC_BEANSTALK_APPLICATION_NAME`: `Test AWS App` - This is the Elastic Beanstalk app which has your environment associated. - ELASTIC_BEANSTALK_ENVIRONMENT_NAME`: `TestAWSApp-prod` - This is the Elastic Beanstalk environment you want to deploy to - API_VERSION_BUCKET`: `elasticbeanstalk-us-east-1-474671518642` - This is the S3 bucket that was created by Elastic Beanstalk With the above variables, we can make some new variables during the build time, so we can make sure that every API version is unique and gets deployed. We set this up in the install phase. `yaml ... phases: install: runtime-versions: nodejs: 18 on-failure: ABORT commands: - APPVERSION=`jq '.version' -j package.json` - APIVERSION=$APP_VERSION-build$CODEBUILD_BUILD_NUMBER - APIZIP_KEY=$COMMIT_ID-api.zip - 'APPVERSION_DESCRIPTION="$AP_VERSION: $COMMIT_ID"' - npm ci ... ` The APP_VERSION` variable is the version property from the `package.json` file. In a release process, the application's version is stored here. The `API_VERSION` variable will contain the `APP_VERSION` and as a suffix, we include the build number. We want to upload this API version by indicating the commit ID, so the `API_ZIP_KEY` will have this information. The `APP_VERSION_DESCRIPTION` will be the description of the deployed version in Elastic Beanstalk. Finally, we are going to update the buildspec file with the actual Elastic Beanstalk deployment steps. `yaml phases: ... build: on-failure: ABORT commands: # ... # ZIP the API - zip -r -j dist/apps/api.zip dist/apps/api # Upload the API bundle to S3 - aws s3 cp dist/apps/api.zip s3://$APIVERSION_BUCKET/$ENVIRONMENT_TARGET/$API_ZIP_KEY # Create new API version in Elastic Beanstalk - aws elasticbeanstalk create-application-version --application-name "$ELASTICBEANSTALK_APPLICATION_NAME" --version-label "$API_VERSION" --description "$APP_VERSION_DESCRIPTION" --source-bundle "S3Bucket=$API_VERSION_BUCKET,S3Key=$ENVIRONMENT_TARGET/$API_ZIP_KEY" # Deploy new API version - aws elasticbeanstalk update-environment --application-name "$ELASTICBEANSTALK_APPLICATION_NAME" --version-label "$API_VERSION" --environment-name "$ELASTIC_BEANSTALK_ENVIRONMENT_NAME" # Wait until the Elastic Beanstalk environment is stable - aws elasticbeanstalk wait environment-updated --application-name "$ELASTICBEANSTALK_APPLICATION_NAME" --environment-name "$ELASTIC_BEANSTALK_ENVIRONMENT_NAME" ` Let's make a change in the API, for example, the message sent back by the /api/hello` endpoint and push up the changes. --- Now every time a change is merged to the main` branch, it gets pushed to our production deployment. Using these guides, you can set up multiple environments, and you can configure separate CodePipeline instances to deploy from different branches. I hope this guide proved to be helpful to you....

Understanding Vue's Reactive Data cover image

Understanding Vue's Reactive Data

Introduction Web development has always been about creating dynamic experiences. One of the biggest challenges developers face is managing how data changes over time and reflecting these changes in the UI promptly and accurately. This is where Vue.js, one of the most popular JavaScript frameworks, excels with its powerful reactive data system. In this article, we dig into the heart of Vue's reactivity system. We unravel how it perfectly syncs your application UI with the underlying data state, allowing for a seamless user experience. Whether new to Vue or looking to deepen your understanding, this guide will provide a clear and concise overview of Vue's reactivity, empowering you to build more efficient and responsive Vue 3 applications. So, let’s kick off and embark on this journey to decode Vue's reactive data system. What is Vue's Reactive Data? What does it mean for data to be ”'reactive”? In essence, when data is reactive, it means that every time the data changes, all parts of the UI that rely on this data automatically update to reflect these changes. This ensures that the user is always looking at the most current state of the application. At its core, Vue's Reactive Data is like a superpower for your application data. Think of it like a mirror - whatever changes you make in your data, the user interface (UI) reflects these changes instantly, like a mirror reflecting your image. This automatic update feature is what we refer to as “reactivity”. To visualize this concept, let's use an example of a simple Vue application displaying a message on the screen: `javascript import { createApp, reactive } from 'vue'; const app = createApp({ setup() { const state = reactive({ message: 'Hello Vue!' }); return { state }; } }); app.mount('#app'); ` In this application, 'message' is a piece of data that says 'Hello Vue!'. Let's say you change this message to 'Goodbye Vue!' later in your code, like when a button is clicked. `javascript state.message = 'Goodbye Vue!'; ` With Vue's reactivity, when you change your data, the UI automatically updates to 'Goodbye Vue!' instead of 'Hello Vue!'. You don't have to write extra code to make this update happen - Vue's Reactive Data system takes care of it. How does it work? Let's keep the mirror example going. Vue's Reactive Data is the mirror that reflects your data changes in the UI. But how does this mirror know when and what to reflect? That's where Vue's underlying mechanism comes into play. Vue has a behind-the-scenes mechanism that helps it stay alerted to any changes in your data. When you create a reactive data object, Vue doesn't just leave it as it is. Instead, it sends this data object through a transformation process and wraps it up in a Proxy. Proxy objects are powerful and can detect when a property is changed, updated, or deleted. Let's use our previous example: `javascript import { createApp, reactive } from 'vue'; const app = createApp({ setup() { const state = reactive({ message: 'Hello Vue!' }); return { state }; } }); app.mount('#app'); ` Consider our “message” data as a book in a library. Vue places this book (our data) within a special book cover (the Proxy). This book cover is unique - it's embedded with a tracking device that notifies Vue every time someone reads the book (accesses the data) or annotates a page (changes the data). In our example, the reactive function creates a Proxy object that wraps around our state object. When you change the 'message': `javascript state.message = 'Goodbye Vue!'; ` The Proxy notices this (like a built-in alarm going off) and alerts Vue that something has changed. Vue then updates the UI to reflect this change. Let’s look deeper into what Vue is doing for us and how it transforms our object into a Proxy object. You don't have to worry about creating or managing the Proxy; Vue handles everything. `javascript const state = reactive({ message: 'Hello Vue!' }); // What vue is doing behind the scenes: function reactive(obj) { return new Proxy(obj, { // target = state and key = message get(target, key) { track(target, key) return target[key] }, set(target, key, value) { target[key] = value // Here Vue will trigger its reactivity system to update the DOM. trigger(target, key) } }) } ` In the example above, we encapsulate our object, in this case, “state”, converting it into a Proxy object. Note that within the second argument of the Proxy, we have two methods: a getter and a setter. The getter method is straightforward: it merely returns the value, which in this instance is “state.message” equating to 'Hello Vue!' Meanwhile, the setter method comes into play when a new value is assigned, as in the case of “state.message = ‘Hey young padawan!’”. Here, “value” becomes our new 'Hey young padawan!', prompting the property to update. This action, in turn, triggers the reactivity system, which subsequently updates the DOM. Venturing Further into the Depths If you have been paying attention to our examples above, you might have noticed that inside the Proxy` method, we call the functions `track` and `trigger` to run our reactivity. Let’s try to understand a bit more about them. You see, Vue 3 reactivity data is more about Proxy objects. Let’s create a new example: `vue import { reactive, watch, computed, effect } from "vue"; const state = reactive({ showSword: false, message: "Hey young padawn!", }); function changeMessage() { state.message = "It's dangerous to go alone! Take this."; } effect(() => { if (state.message === "It's dangerous to go alone! Take this.") { state.showSword = true; } }); {{ state.message }} Click! ` In this example, when you click on the button, the message's value changes. This change triggers the effect function to run, as it's actively listening for any changes in its dependencies__. How does the effect` property know when to be called? Vue 3 has three main functions to run our reactivity: effect`, `track`, and `trigger`. The effect` function is like our supervisor. It steps in and takes action when our data changes – similar to our effect method, we will dive in more later. Next, we have the track` function. It notes down all the important data we need to keep an eye on. In our case, this data would be `state.message`. Lastly, we've got the trigger` function. This one is like our alarm bell. It alerts the `effect` function whenever our important data (the stuff `track` is keeping an eye on) changes. In this way, trigger`, `track`, and `effect` work together to keep our Vue application reacting smoothly to changes in data. Let’s go back to them: `javascript function reactive(obj) { return new Proxy(obj, { get(target, key) { // target = state & key = message track(target, key) // keep an eye for this return target[key] }, set(target, key, value) { target[key] = value trigger(target, key) // trigger the effects! } }) } ` Tracking (Dependency Collection) Tracking is the process of registering dependencies between reactive objects and the effects that depend on them. When a reactive property is read, it's "tracked" as a dependency of the current running effect. When we execute track()`, we essentially store our effects in a Set object. But what exactly is an "effect"? If we revisit our previous example, we see that the effect method must be run whenever any property changes. This action — running the effect method in response to property changes — is what we refer to as an "Effect"! (computed property, watcher, etc.) > Note: We'll outline a basic, high-level overview of what might happen under the hood. Please note that the actual implementation is more complex and optimized, but this should give you an idea of how it works. Let’s see how it works! In our example, we have the following reactive object: `javascript const state = reactive({ showSword: false, message: "Hey young padawn!", }); // which is transformed under the hood to: function reactive(obj) { return new Proxy(obj, { get(target, key) { // target = state | key = message track(target, key) // keep an eye for this return target[key] }, set(target, key, value) { target[key] = value trigger(target, key) // trigger the effects! } }) } ` We need a way to reference the reactive object with its effects. For that, we use a WeakMap. Which type is going to look something like this: `typescript WeakMap>> ` We are using a WeakMap to set our object state as the target (or key). In the Vue code, they call this object `targetMap`. Within this targetMap` object, our value is an object named `depMap` of Map type. Here, the keys represent our properties (in our case, that would be `message` and `showSword`), and the values correspond to their effects – remember, they are stored in a Set that in Vue 3 we refer to as `dep`. Huh… It might seem a bit complex, right? Let's make it more straightforward with a visual example: With the above explained, let’s see what this Track` method kind of looks like and how it uses this `targetMap`. This method essentially is doing something like this: `javascript let activeEffect; // we will see more of this later function track(target, key) { if (activeEffect) { // depsMap` maps targets to their keys and dependent effects let depsMap = targetMap.get(target); // If we don't have a depsMap for this target in our targetMap`, create one. if (!depsMap) { depsMap = new Map(); targetMap.set(target, depsMap); } let dep = depsMap.get(key); if (!dep) { // If we don't have a set of effects for this key in our depsMap`, create one. dep = new Set(); depsMap.set(key, dep); } // Add the current effect as a dependency dep.add(activeEffect); } } ` At this point, you have to be wondering, how does Vue 3 know what activeEffect` should run? Vue 3 keeps track of the currently running effect by using a global variable. When an effect is executed, Vue temporarily stores a reference to it in this global variable, allowing the track` function to access the currently running effect and associate it with the accessed reactive property. This global variable is called inside Vue as `activeEffect`. Vue 3 knows which effect is assigned to this global variable by wrapping the effects functions in a method that invokes the effect whenever a dependency changes. And yes, you guessed, that method is our effect` method. `javascript effect(() => { if (state.message === "It's dangerous to go alone! Take this.") { state.showSword = true; } }); ` This method behind the scenes is doing something similar to this: `javascript function effect(update) { //the function we are passing in const effectMethod = () => { // Assign the effect as our activeEffect` activeEffect = effectMethod // Runs the actual method, also triggering the get` trap inside our proxy update(); // Clean the activeEffect after our Effect has finished activeEffect = null } effectMethod() } ` The handling of activeEffect` within Vue's reactivity system is a dance of careful timing, scoping, and context preservation. Let’s go step by step on how this is working all together. When we run our `Effect` method for the first time, we call the `get` trap of the Proxy. `javascript function effect(update) const effectMethod = () => { // Storing our active effect activeEffect = effectMethod // Running the effect update() ... } ... } effect(() => { // we call the the get` trap when getting our `state.message` if (state.message === "It's dangerous to go alone! Take this.") { state.showSword = true; } }); ` When running the get` trap, we have our `activeEffect` so we can store it as a dependency. `javascript function reactive(obj) { return new Proxy(obj, { // Gets called when our effect runs get(target, key) { track(target, key) // Saves the effect return target[key] }, // ... (other handlers) }) } function track(target, key) { if (activeEffect) { //... rest of the code // Add the current effect as a dependency dep.add(activeEffect); } } ` This coordination ensures that when a reactive property is accessed within an effect, the track function knows which effect is responsible for that access. Trigger Method Our last method makes this Reactive system to be complete. The trigger` method looks up the dependencies for the given target and key and re-runs all dependent effects. `javascript function trigger(target, key) { const depsMap = targetMap.get(target); if (!depsMap) return; // no dependencies, no effects, no need to do anything const dep = depsMap.get(key); if (!dep) return; // no dependencies for this key, no need to do anything // all dependent effects to be re-run dep.forEach(effect => { effect() }); } ` Conclusion Diving into Vue 3's reactivity system has been like unlocking a hidden superpower in my web development toolkit, and honestly, I've had a blast learning about it. From the rudimentary elements of reactive data and instantaneous UI updates to the intricate details involving Proxies, track and trigger functions, and effects, Vue 3's reactivity is an impressively robust framework for building dynamic and responsive applications. In our journey through Vue 3's reactivity, we've uncovered how this framework ensures real-time and precise updates to the UI. We've delved into the use of Proxies to intercept and monitor variable changes and dissected the roles of track and trigger functions, along with the 'effect' method, in facilitating seamless UI updates. Along the way, we've also discovered how Vue ingeniously manages data dependencies through sophisticated data structures like WeakMaps and Sets, offering us a glimpse into its efficient approach to change detection and UI rendering. Whether you're just starting with Vue 3 or an experienced developer looking to level up, understanding this reactivity system is a game-changer. It doesn't just streamline the development process; it enables you to create more interactive, scalable, and maintainable applications. I love Vue 3, and mastering its reactivity system has been enlightening and fun. Thanks for reading, and as always, happy coding!...

5 Angular Component Libraries to Use Today cover image

5 Angular Component Libraries to Use Today

As a Google Developer Expert in Angular, I’ve enjoyed an amazing relationship with the Angular Core Team over the years, and have appreciated the chances I’ve had to collaborate with the team on some amazing events, including semi-annual State of Angular events and so many more. 2022 is gearing up to be a fantastic year for the Angular team, including plans to integrate Strictly Typed Reactive Forms and Standalone Components. Beyond this, in a recent conversation that Core Team Member Mark Thompson had with the Modern Web Podcast, he expressed the team’s unequivocal support for third-party and community tools for supercharging the Angular framework to best serve developers. What will you build to help this reality in 2022?? One of the best supported and most popular classes of third party tools include Component Libraries, which are UI and UX design elements which can be used to simplify both the individual and collaborative developer experience. But with all of the available products, it’s hard to know what Component Libraries are the best in which to invest your time in the coming year. Below, I’ve compiled five well-supported Angular tools that developers can integrate into their builds today! NGXS NGXS is a state management library released in 2018 that is optimal for applications that rely on complex data structures by creating a predictable flow of data rooted in a global data store. Because it is built using TypeScript features, it takes advantage of features including classes and decorators and reduces the need for boilerplates common within state management solutions, allowing developers to use components to interact directly with the store using Actions. NGX- Bootstrap NGX-Bootstrap is an open source library brought to the community by the team at Valor Software, and allows developers to quickly integrate all of the v3 through v5 Bootstrap components under Angular into their application. These components include accordions, pagination, tabs, timepickers, and much more. The benefit of using this exciting component library is that it was built to be flexible, extensible, and optimized for modular systems, with the team also assuring users that they can expect the same degree of performance using these components across both web and mobile applications. Ignite UI Ignite UI is a framework agnostic JavaScript/JQuery component library, created by Infragistics, that offers components that can help developers build engaging, high performing applications in many frameworks, including Angular. Specifically, the tool provides more than 60 components that work within the Angular framework, using Angular Material based native components, and are optimized for use in enterprise applications. Kendo UI for Angular Kendo UI for Angular by Telerik seeks to be the only component library a developer would ever need to build high performing web and applications, providing over 100 native Angular components, and built to promote ease of development, speed, and scalability. If you want to learn more, I highly recommend this tutorial series by my friend Alyssa Nicoll! NG-Zorro NG-Zorro is an open source UI component library containing over 60 Angular Components built using TypeScript to support ease of use in enterprise Angular applications. Some of its notable features include its support of OnPush mode, and its seamless internationalization, supporting the use of dozens of written languages, allowing developers to set the language as they create their applications. — This is not an exhaustive list, and there are so many amazing tools and libraries being built every day. Do you have any other recommendations? I’d love to hear from you! And if you’re interested in learning more about Angular every month, check out angularmeetup.com for ongoing events and updates!...

Nuxt DevTools v1.0: Redefining the Developer Experience Beyond Conventional Tools cover image

Nuxt DevTools v1.0: Redefining the Developer Experience Beyond Conventional Tools

In the ever-evolving world of web development, Nuxt.js has taken a monumental leap with the launch of Nuxt DevTools v1.0. More than just a set of tools, it's a game-changer—a faithful companion for developers. This groundbreaking release, available for all Nuxt projects and being defaulted from Nuxt v3.8 onwards, marks the beginning of a new era in developer tools. It's designed to simplify our development journey, offering unparalleled transparency, performance, and ease of use. Join me as we explore how Nuxt DevTools v1.0 is set to revolutionize our workflow, making development faster and more efficient than ever. What makes Nuxt DevTools so unique? Alright, let's start delving into the features that make this tool so amazing and unique. There are a lot, so buckle up! In-App DevTools The first thing that caught my attention is that breaking away from traditional browser extensions, Nuxt DevTools v1.0 is seamlessly integrated within your Nuxt app. This ensures universal compatibility across browsers and devices, offering a more stable and consistent development experience. This setup also means the tools are readily available in the app, making your work more efficient. It's a smart move from the usual browser extensions, making it a notable highlight. To use it you just need to press Shift + Option + D` (macOS) or `Shift + Alt + D` (Windows): With simple keystrokes, the Nuxt DevTools v1.0 springs to life directly within your app, ready for action. This integration eliminates the need to toggle between windows or panels, keeping your workflow streamlined and focused. The tools are not only easily accessible but also intelligently designed to enhance your productivity. Pages, Components, and Componsables View The Pages, Components, and Composables View in Nuxt DevTools v1.0 are a clear roadmap for your app. They help you understand how your app is built by simply showing its structure. It's like having a map that makes sense of your app's layout, making the complex parts of your code easier to understand. This is really helpful for new developers learning about the app and experienced developers working on big projects. Pages View lists all your app's pages, making it easier to move around and see how your site is structured. What's impressive is the live update capability. As you explore the DevTools, you can see the changes happening in real-time, giving you instant feedback on your app's behavior. Components View is like a detailed map of all the parts (components) your app uses, showing you how they connect and depend on each other. This helps you keep everything organized, especially in big projects. You can inspect components, change layouts, see their references, and filter them. By showcasing all the auto-imported composables, Nuxt DevTools provides a clear overview of the composables in use, including their source files. This feature brings much-needed clarity to managing composables within large projects. You can also see short descriptions and documentation links in some of them. Together, these features give you a clear picture of your app's layout and workings, simplifying navigation and management. Modules and Static Assets Management This aspect of the DevTools revolutionizes module management. It displays all registered modules, documentation, and repository links, making it easy to discover and install new modules from the community! This makes managing and expanding your app's capabilities more straightforward than ever. On the other hand, handling static assets like images and videos becomes a breeze. The tool allows you to preview and integrate these assets effortlessly within the DevTools environment. These features significantly enhance the ease and efficiency of managing your app's dynamic and static elements. The Runtime Config and Payload Editor The Runtime Config and Payload Editor in Nuxt DevTools make working with your app's settings and data straightforward. The Runtime Config lets you play with different configuration settings in real time, like adjusting settings on the fly and seeing the effects immediately. This is great for fine-tuning your app without guesswork. The Payload Editor is all about managing the data your app handles, especially data passed from server to client. It's like having a direct view and control over the data your app uses and displays. This tool is handy for seeing how changes in data impact your app, making it easier to understand and debug data-related issues. Open Graph Preview The Open Graph Preview in Nuxt DevTools is a feature I find incredibly handy and a real time-saver. It lets you see how your app will appear when shared on social media platforms. This tool is crucial for SEO and social media presence, as it previews the Open Graph tags (like images and descriptions) used when your app is shared. No more deploying first to check if everything looks right – you can now tweak and get instant feedback within the DevTools. This feature not only streamlines the process of optimizing for social media but also ensures your app makes the best possible first impression online. Timeline The Timeline feature in Nuxt DevTools is another standout tool. It lets you track when and how each part of your app (like composables) is called. This is different from typical performance tools because it focuses on the high-level aspects of your app, like navigation events and composable calls, giving you a more practical view of your app's operation. It's particularly useful for understanding the sequence and impact of events and actions in your app, making it easier to spot issues and optimize performance. This timeline view brings a new level of clarity to monitoring your app's behavior in real-time. Production Build Analyzer The Production Build Analyzer feature in Nuxt DevTools v1.0 is like a health check for your app. It looks at your app's final build and shows you how to make it better and faster. Think of it as a doctor for your app, pointing out areas that need improvement and helping you optimize performance. API Playground The API Playground in Nuxt DevTools v1.0 is like a sandbox where you can play and experiment with your app's APIs. It's a space where you can easily test and try out different things without affecting your main app. This makes it a great tool for trying out new ideas or checking how changes might work. Some other cool features Another amazing aspect of Nuxt DevTools is the embedded full-featured VS Code. It's like having your favorite code editor inside the DevTools, with all its powerful features and extensions. It's incredibly convenient for making quick edits or tweaks to your code. Then there's the Component Inspector. Think of it as your code's detective tool. It lets you easily pinpoint and understand which parts of your code are behind specific elements on your page. This makes identifying and editing components a breeze. And remember customization! Nuxt DevTools lets you tweak its UI to suit your style. This means you can set up the tools just how you like them, making your development environment more comfortable and tailored to your preferences. Conclusion In summary, Nuxt DevTools v1.0 marks a revolutionary step in web development, offering a comprehensive suite of features that elevate the entire development process. Features like live updates, easy navigation, and a user-friendly interface enrich the development experience. Each tool within Nuxt DevTools v1.0 is thoughtfully designed to simplify and enhance how developers build and manage their applications. In essence, Nuxt DevTools v1.0 is more than just a toolkit; it's a transformative companion for developers seeking to build high-quality web applications more efficiently and effectively. It represents the future of web development tools, setting new standards in developer experience and productivity....