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What is Agile? Everything You Need to Know

Published Aug 9, 2022

Updated Feb 13, 2023

6 min read

This article was written over 18 months ago and may contain information that is out of date. Some content may be relevant but please refer to the relevant official documentation or available resources for the latest information.

Managing software projects has never been easy. There are continuos changes, risks, and sometimes the clients don’t know what they want. And that is why we have Agile.

What is Agile?

There is no straight answer.

Is it a project management methodology? Framework (like Scrum)? Tool (like Jira)?

Technically all are true.

Maybe we can define Agile as a mindset that helps us deliver valuable software despite uncertainty and risk. But what does that mean?

When working on a project, we usually build some features that the team didn’t agree on from the beginning. Other times, the clients don’t know what they want exactly. This makes it tough to create a complete plan from the beginning with all the project details, and its absense adds more risk to the project. By approaching the development process with an Agile mindset, we can manage this risk and stil deliver valueable products for our clients despite the lack of a specific plan.

History of Agile

Agile was created organically as a result of a market need to deal with the crisis product development faced in the 1990s. Back in the 1990s, it was taking somewhere in the range of 2-4 years to get a software solution to production from the time it was conceived.

This delay was not acceptable for enterprise business users. The market had started to evolve, and developers realized that both the needs and expectations from the business users would not remain static for long.

In the Spring of 2000, a group of industry experts gathered in Oregon to come up with some common ground on Agile. This meeting led to a famous gathering in Utah in February 2001 where 17 thought leaders finalized The Agile Manifesto. This historic gathering set the foundation for all Agile frameworks.

Since Agile was developed for software development, many think that software is the only place where Agile is valuable. However, today Agile is being applied in all industries across the globe.

How it works?

The Agile methodology is a way to manage a project by breaking it up into several phases. It involves constant collaboration with stakeholders and continuous improvement at every stage. Once the work begins, teams cycle through a process of planning, executing, and evaluating. Continuous collaboration is vital, both with team members and project stakeholders.

The first point is validation. Because of uncertainty, we need to check with the client regularly to ensure that we are on the right track. Additionally, we need to ensure that we are delivering our second point: value. We are not simply fulfilling requirements or creating features (of course we are but it’s not what we should focus on). We are delivering value to the client. And this value also comes from the uses/client, so the validation is so important.

Changes are an expected result of the regular validation process, so we can respond to that validation and provide more value.

To achieve that in an organized fashion, we have to do two things:

Deliver fast (small parts so it's easier to validate them with the client)
deliver frequently

And to achive that, we need to have a team that understands all of this cycle and focuses on the value that the client needs.

Agile is a Mindset

Ultimately, Agile is a mindset informed by the Agile Manifesto’s values and principles. Those values and principles provide guidance on how to create and respond to change, and how to deal with uncertainty. When you face uncertainty, try something you think might work, get feedback, and adjust accordingly.

Values of Agile Manifesto

It says that we improve software by valuing some items over others like:

Individual interactions over processes and tools
Working software over comprehensive documentation
Customer collaboration over contract negotiation
Responding to change over following a plan

Agile vs Waterfall

Waterfall Model methodology which is also known as Liner Sequential Life Cycle Model. Waterfall Model followed in the sequential order, and so the project development team only moves to the next phase of development, or testing if the previous step completed successfully.

The main differences between them are that Waterfall is a Liner Sequential Life Cycle Model whereas Agile is a continuous iteration of development and testing in the software development process. In Agile vs Waterfall difference, the Agile methodology is known for its flexibility, whereas Waterfall is a structured software development methodology.

Other differences include:

Agile follows an incremental approach, while the Waterfall is a sequential design process.
Agile performs testing concurrently with software development, while in Waterfall methodology, testing comes after the “Build” phase.
Agile allows changes in project development requirements, whereas Waterfall has no scope of changing the requirements once the project development starts.

Advantages of Agile

Persistent software delivery
Increased stakeholder satisfaction
Inspect and adapt
Welcome to changes at any stage
Design is important
Daily interaction

Agile Frameworks

There are multiple frameworks to implement Agile in your project

Scrum

Scrum is the most popular one. It is a framework that helps teams work together. It encourages teams to learn through experiences, self-organize while working on a problem, and reflect on their wins and losses to continuously improve.

While the scrum I’m talking about is most frequently used by software development teams, its principles and lessons can be applied to all kinds of teamwork. This is one of the reasons scrum is so popular. Often thought of as an Agile project management framework, scrum describes a set of meetings, tools, and roles that work in concert to help teams structure and manage their work.

Kanban

Kanban is a popular Lean workflow management method for defining, managing, and improving services that deliver knowledge work. It helps you visualize work, maximize efficiency, and improve continuously. Work is represented on Kanban boards, allowing you to optimize work delivery across multiple teams and handle even the most complex projects in a single environment. Originating from manufacturing, it later became a territory claimed by Agile software development teams. Recently, it started getting recognized by business units across various industries.

This Dot is a consultancy dedicated to guiding companies through their modernization and digital transformation journeys. Specializing in replatforming, modernizing, and launching new initiatives, we stand out by taking true ownership of your engineering projects.

We love helping teams with projects that have missed their deadlines or helping keep your strategic digital initiatives on course. Check out our case studies and our clients that trust us with their engineering.

About the author(s)

Mark Shenouda
@MarkSShenouda @markshenouda

Exploring Angular Forms: A New Alternative with Signals

Exploring Angular Forms: A New Alternative with Signals In the world of Angular, forms are essential for user interaction, whether you're crafting a simple login page or a more complex user profile interface. Angular traditionally offers two primary approaches: template-driven forms and reactive forms. In my previous series on Angular Reactive Forms, I explored how to harness reactive forms' power to manage complex logic, create dynamic forms, and build custom form controls. A new tool for managing reactivity - signals - has been introduced in version 16 of Angular and has been the focus of Angular maintainers ever since, becoming stable with version 17. Signals allow you to handle state changes declaratively, offering an exciting alternative that combines the simplicity of template-driven forms with the robust reactivity of reactive forms. This article will examine how signals can add reactivity to both simple and complex forms in Angular. Recap: Angular Forms Approaches Before diving into the topic of enhancing template-driven forms with signals, let’s quickly recap Angular's traditional forms approaches: 1. Template-Driven Forms: Defined directly in the HTML template using directives like ngModel, these forms are easy to set up and are ideal for simple forms. However, they may not provide the fine-grained control required for more complex scenarios. Here's a minimal example of a template-driven form: ` ` 2. Reactive Forms: Managed programmatically in the component class using Angular's FormGroup, FormControl, and FormArray classes; reactive forms offer granular control over form state and validation. This approach is well-suited for complex forms, as my previous articles on Angular Reactive Forms discussed. And here's a minimal example of a reactive form: ` ` Introducing Signals as a New Way to Handle Form Reactivity With the release of Angular 16, signals have emerged as a new way to manage reactivity. Signals provide a declarative approach to state management, making your code more predictable and easier to understand. When applied to forms, signals can enhance the simplicity of template-driven forms while offering the reactivity and control typically associated with reactive forms. Let’s explore how signals can be used in both simple and complex form scenarios. Example 1: A Simple Template-Driven Form with Signals Consider a basic login form. Typically, this would be implemented using template-driven forms like this: ` ` This approach works well for simple forms, but by introducing signals, we can keep the simplicity while adding reactive capabilities: ` ` In this example, the form fields are defined as signals, allowing for reactive updates whenever the form state changes. The formValue signal provides a computed value that reflects the current state of the form. This approach offers a more declarative way to manage form state and reactivity, combining the simplicity of template-driven forms with the power of signals. You may be tempted to define the form directly as an object inside a signal. While such an approach may seem more concise, typing into the individual fields does not dispatch reactivity updates, which is usually a deal breaker. Here’s an example StackBlitz with a component suffering from such an issue: Therefore, if you'd like to react to changes in the form fields, it's better to define each field as a separate signal. By defining each form field as a separate signal, you ensure that changes to individual fields trigger reactivity updates correctly. Example 2: A Complex Form with Signals You may see little benefit in using signals for simple forms like the login form above, but they truly shine when handling more complex forms. Let's explore a more intricate scenario - a user profile form that includes fields like firstName, lastName, email, phoneNumbers, and address. The phoneNumbers field is dynamic, allowing users to add or remove phone numbers as needed. Here's how this form might be defined using signals: ` > Notice that the phoneNumbers field is defined as a signal of an array of signals. This structure allows us to track changes to individual phone numbers and update the form state reactively. The addPhoneNumber and removePhoneNumber methods update the phoneNumbers signal array, triggering reactivity updates in the form. ` > In the template, we use the phoneNumbers signal array to dynamically render the phone number input fields. The addPhoneNumber and removePhoneNumber methods allow users to reactively add or remove phone numbers, updating the form state. Notice the usage of the track function, which is necessary to ensure that the ngFor directive tracks changes to the phoneNumbers array correctly. Here's a StackBlitz demo of the complex form example for you to play around with: Validating Forms with Signals Validation is critical to any form, ensuring that user input meets the required criteria before submission. With signals, validation can be handled in a reactive and declarative manner. In the complex form example above, we've implemented a computed signal called formValid, which checks whether all fields meet specific validation criteria. The validation logic can easily be customized to accommodate different rules, such as checking for valid email formats or ensuring that all required fields are filled out. Using signals for validation allows you to create more maintainable and testable code, as the validation rules are clearly defined and react automatically to changes in form fields. It can even be abstracted into a separate utility to make it reusable across different forms. In the complex form example, the formValid signal ensures that all required fields are filled and validates the email and phone numbers format. This approach to validation is a bit simple and needs to be better connected to the actual form fields. While it will work for many use cases, in some cases, you might want to wait until explicit "signal forms" support is added to Angular. Tim Deschryver started implementing some abstractions around signal forms, including validation and wrote an article about it. Let's see if something like this will be added to Angular in the future. Why Use Signals in Angular Forms? The adoption of signals in Angular provides a powerful new way to manage form state and reactivity. Signals offer a flexible, declarative approach that can simplify complex form handling by combining the strengths of template-driven forms and reactive forms. Here are some key benefits of using signals in Angular forms: 1. Declarative State Management: Signals allow you to define form fields and computed values declaratively, making your code more predictable and easier to understand. 2. Reactivity: Signals provide reactive updates to form fields, ensuring that changes to the form state trigger reactivity updates automatically. 3. Granular Control: Signals allow you to define form fields at a granular level, enabling fine-grained control over form state and validation. 4. Dynamic Forms: Signals can be used to create dynamic forms with fields that can be added or removed dynamically, providing a flexible way to handle complex form scenarios. 5. Simplicity: Signals can offer a simpler, more concise way to manage form states than traditional reactive forms, making building and maintaining complex forms easier. Conclusion In my previous articles, we explored the powerful features of Angular reactive forms, from dynamic form construction to custom form controls. With the introduction of signals, Angular developers have a new tool that merges the simplicity of template-driven forms with the reactivity of reactive forms. While many use cases warrant Reactive Forms, signals provide a fresh, powerful alternative for managing form state in Angular applications requiring a more straightforward, declarative approach. As Angular continues to evolve, experimenting with these new features will help you build more maintainable, performant applications. Happy coding!...

Oct 4, 2024

5 mins

AngularJavaScript

Introduction to Zod for Data Validation

As web developers, we're often working with data from external sources like APIs we don't control or user inputs submitted to our backends. We can't always rely on this data to take the form we expect, and we can encounter unexpected errors when it deviates from expectations. But with the Zod library, we can define what our data ought to look like and parse the incoming data against those defined schemas. This lets us work with that data confidently, or to quickly throw an error when it isn't correct. Why use Zod? TypeScript is great for letting us define the shape of our data in our code. It helps us write more correct code the first time around by warning us if we are doing something we shouldn't. But TypeScript can't do everything for us. For example, we can define a variable as a string or a number, but we can't say "a string that starts with user_id_ and is 20 characters long" or "an integer between 1 and 5". There are limits to how much TypeScript can narrow down our data for us. Also, TypeScript is a tool for us developers. When we compile our code, our types are not available to the vanilla JavaScript. JavaScript can't validate that the data we actually use in our code matches what we thought we'd get when we wrote our TypeScript types unless you're willing to manually write code to perform those checks. This is where we can reach for a tool like Zod. With Zod, we can write data schemas. These schemas, in the simplest scenarios, look very much like TypeScript types. But we can do more with Zod than we can with TypeScript alone. Zod schemas let us create additional rules for data parsing and validation. A 20-character string that starts with user_id_? It's z.string().startsWith('user_id_').length(20). An integer between 1 and 5 inclusive? It's z.number().int().gte(1).lte(5). Zod's primitives give us many extra functions to be more specific about *exactly* what data we expect. Unlike TypeScript, Zod schemas aren't removed on compilation to JavaScript—we still have access to them! If our app receives some data, we can verify that it matches the expected shape by passing it to your Zod schema's parse function. You'll either get back your data in exactly the shape you defined in your schema, or Zod will give you an error to tell you what was wrong. Zod schemas aren't a replacement for TypeScript; rather, they are an excellent complement. Once we've defined our Zod schema, it's simple to derive a TypeScript type from it and to use that type as we normally would. But when we really need to be sure our data conforms to the schema, we can always parse the data with our schema for that extra confidence. Defining Data Schemas Zod schemas are the variables that define our expectations for the shape of our data, validate those expectations, and transform the data if necessary to match our desired shape. It's easy to start with simple schemas, and to add complexity as required. Zod provides different functions that represent data structures and related validation options, which can be combined to create larger schemas. In many cases, you'll probably be building a schema for a data object with properties of some primitive type. For example, here's a schema that would validate a JavaScript object representing an order for a pizza: ` Zod provides a number of primitives for defining schemas that line up with JavaScript primitives: string, number, bigint, boolean, date, symbol, undefined, and null. It also includes primitives void, any, unknown, and never for additional typing information. In addition to basic primitives, Zod can define object, array, and other native data structure schemas, as well as schemas for data structures not natively part of JavaScript like tuple and enum. The documentation contains considerable detail on the available data structures and how to use them. Parsing and Validating Data with Schemas With Zod schemas, you're not only telling your program what data should look like; you're also creating the tools to easily verify that the incoming data matches the schema definitions. This is where Zod really shines, as it greatly simplifies the process of validating data like user inputs or third party API responses. Let's say you're writing a website form to register new users. At a minimum, you'll need to make sure the new user's email address is a valid email address. For a password, we'll ask for something at least 8 characters long and including one letter, one number, and one special character. (Yes, this is not really the best way to write strong passwords; but for the sake of showing off how Zod works, we're going with it.) We'll also ask the user to confirm their password by typing it twice. First, let's create a Zod schema to model these inputs: ` So far, this schema is pretty basic. It's only making sure that whatever the user types as an email is an email, and it's checking that the password is at least 8 characters long. But it is *not* checking if password and confirmPassword match, nor checking for the complexity requirements. Let's enhance our schema to fix that! ` By adding refine with a custom validation function, we have been able to verify that the passwords match. If they don't, parsing will give us an error to let us know that the data was invalid. We can also chain refine functions to add checks for our password complexity rules: ` Here we've chained multiple refine functions. You could alternatively use superRefine, which gives you even more fine grained control. Now that we've built out our schema and added refinements for extra validation, we can parse some user inputs. Let's see two test cases: one that's bound to fail, and one that will succeed. ` There are two main ways we can use our schema to validate our data: parse and safeParse. The main difference is that parse will throw an error if validation fails, while safeParse will return an object with a success property of either true or false, and either a data property with your parsed data or an error property with the details of a ZodError explaining why the parsing failed. In the case of our example data, userInput2 will parse just fine and return the data for you to use. But userInput1 will create a ZodError listing all of the ways it has failed validation. ` ` We can use these error messages to communicate to the user how they need to fix their form inputs if validation fails. Each error in the list describes the validation failure and gives us a human readable message to go with it. You'll notice that the validation errors for checking for a valid email and for checking password length have a lot of details, but we've got three items at the end of the error list that don't really tell us anything useful: just a custom error of Invalid input. The first is from our refine checking if the passwords match, and the second two are from our refine functions checking for password complexity (numbers and special characters). Let's modify our refine functions so that these errors are useful! We'll add our own error parameters to customize the message we get back and the path to the data that failed validation. ` Now, our error messages from failures in refine are informative! You can figure out which form fields aren't validating from the path, and then display the messages next to form fields to let the user know how to remedy the error. ` By giving our refine checks a custom path and message, we can make better use of the returned errors. In this case, we can highlight specific problem form fields for the user and give them the message about what is wrong. Integrating with TypeScript Integrating Zod with TypeScript is very easy. Using z.infer<typeof YourSchema> will allow you to avoid writing extra TypeScript types that merely reflect the intent of your Zod schemas. You can create a type from any Zod schema like so: ` Using a TypeScript type derived from a Zod schema does *not* give you any extra level of data validation at the type level beyond what TypeScript is capable of. If you create a type from z.string.min(3).max(20), the TypeScript type will still just be string. And when compiled to JavaScript, even that will be gone! That's why you still need to use parse/safeParse on incoming data to validate it before proceeding as if it really does match your requirements. A common pattern with inferring types from Zod schemas is to use the same name for both. Because the schema is a variable, there's no name conflict if the type uses the same name. However, I find that this can lead to confusing situations when trying to import one or the other—my personal preference is to name the Zod schema with Schema at the end to make it clear which is which. Conclusion Zod is an excellent tool for easily and confidently asserting that the data you're working with is exactly the sort of data you were expecting. It gives us the ability to assert at runtime that we've got what we wanted, and allows us to then craft strategies to handle what happens if that data is wrong. Combined with the ability to infer TypeScript types from Zod schemas, it lets us write and run more reliable code with greater confidence....

Nov 15, 2024

7 mins

JavaScriptZod

How to Truncate Strings Easily with CSS

You'll often need to truncate text when working with user interfaces, especially when displaying content within a limited space. CSS provides a straightforward way to handle this scenario, ensuring that long text strings are cut off gracefully without affecting the overall layout. CSS Truncation Techniques Single-Line Truncation If you want to truncate a single line of text, CSS provides a simple solution. The key properties to use here are overflow, white-space, and text-overflow. ` Explanation of properties: * white-space: nowrap: This ensures the text stays on a single line, preventing wrapping. * overflow: hidden: This hides any content that overflows the container. * text-overflow: ellipsis: This adds the ellipsis (…) at the end of the truncated text. Multi-Line Truncation While truncating a single line of text is common, sometimes you may want to display multiple lines but still cut off the text when it exceeds a certain number of lines. You can use a combination of CSS properties such as -webkit-line-clamp along with the display and overflow properties. ` Live example: Explanation of properties: * display: -webkit-box: This is a legacy flexbox-like display property that works with the -webkit-line-clamp property. * -webkit-line-clamp: Specifies the number of lines to show before truncating. * -webkit-box-orient: vertical: Ensures the box is laid out vertically for proper multi-line truncation. * overflow: hidden: Prevents content overflow. * text-overflow: ellipsis: Adds an ellipsis after the truncated content. Why Use CSS for Text Truncation Over JavaScript Techniques? While it’s possible to truncate text using JavaScript, CSS is often a better choice for this task for several reasons. Let's explore why CSS-based truncation techniques are generally preferred over JavaScript. Performance Efficiency CSS operates directly within the browser's layout engine, meaning it doesn’t require additional processing or event handling as JavaScript does. When using JavaScript to truncate text, the script needs to run on page load (or after DOM manipulation), and sometimes, it needs to listen for events such as window resizing to adjust truncation. This can introduce unnecessary overhead, especially in complex or resource-constrained environments like mobile devices. CSS, on the other hand, is declarative. Once applied, it allows the browser to handle text rendering without any further execution or processing. This leads to faster load times and a smoother user experience. Simplicity and Maintainability CSS solutions are much simpler to implement and maintain than their JavaScript counterparts. All it takes is a few lines of CSS to implement truncation. In contrast, a JavaScript solution would require you to write and maintain a function that manually trims strings, inserts ellipses, and re-adjusts the text whenever the window is resized. Here's the JavaScript Truncation Example to compare the complexity: JavaScript Truncation Example: ` At the example above, we truncated the text to 50 characters which may be 1 line on large screens and 6 lines on mobile and in that case we will need to add more code to truncate it responsively. As you can see, the CSS solution we used earlier is more concise and readable, whereas the JavaScript version is more verbose and requires managing the string length manually. Responsiveness Without Extra Code With CSS, truncation can adapt automatically to different screen sizes and layouts. You can use relative units (like percentages or vw/vh), media queries, or flexbox/grid properties to ensure the text truncates appropriately in various contexts. If you were using JavaScript, you’d need to write additional logic to detect changes in the viewport size and update the truncation manually. This would likely involve adding event listeners for window resize events, which can degrade performance and lead to more complex code. CSS Example for Responsive Truncation: ` To achieve this in JavaScript, you’d need to add more code to handle the width adjustments dynamically, making it more complex to maintain and troubleshoot. Separation of Concerns CSS handles the presentation layer of your website, while JavaScript should focus on dynamic functionality or data manipulation. By keeping truncation logic within your CSS, you're adhering to the principle of separation of concerns, where each layer of your web application has a clear, well-defined role. Using JavaScript for visual tasks like truncation mixes these concerns, making your codebase harder to maintain, debug, and scale. CSS is purpose-built for layout and visual control, and truncation is naturally a part of that domain. Browser Support and Cross-Browser Consistency Modern CSS properties like text-overflow and -webkit-line-clamp are widely supported across all major browsers. This means that CSS solutions for truncation are generally consistent and reliable. JavaScript solutions, on the other hand, may behave differently depending on the browser environment and require additional testing and handling for cross-browser compatibility. While older browsers may not support specific CSS truncation techniques (e.g., multi-line truncation), fallback options (like single-line truncation) can be easily managed through CSS alone. With JavaScript, more complex logic might be required to handle such situations. Reduced Risk of Layout Shifting JavaScript-based text truncation risks causing layout shifting, especially during initial page loads or window resizes. The browser may need to recalculate the layout multiple times, leading to content flashing or jumpy behavior as text truncation is applied. CSS-based truncation is applied as part of the browser’s natural rendering flow, eliminating this risk and ensuring a smoother experience for the user. Conclusion CSS is the optimal solution for truncating text in most cases due to its simplicity, efficiency, and responsiveness. It leverages the power of the browser’s rendering engine, avoids the overhead of JavaScript, and keeps your code clean and maintainable. While JavaScript truncation has its use cases, CSS should always be your go-to solution for truncating strings, especially in static or predictable layouts. If you like this post, check out the other CSS posts on our blog!...

Sep 13, 2024

4 mins

CSS

The HTML Dialog Element: Enhancing Accessibility and Ease of Use

The HTML Dialog Element: Enhancing Accessibility and Ease of Use Dialogs are a common component added to applications, whether on the web or in native applications. Traditionally there has not been a standard way of implementing these on the web, resulting in many ad-hoc implementations that don’t act consistently across different web applications. Often, commonly expected features are missing from dialogs due to the complexity of implementing them. However, web browsers now offer a standard dialog element. Why use the dialog element? The native dialog element streamlines the implementation of dialogs, modals, and other kinds of non-modal dialogs. It does this by implementing many of the features needed by dialogs for you that are already baked into the browser. This is helpful as it reduces the burden on the developer when making their applications accessible by ensuring that user expectations concerning interaction are met, and it can also potentially simplify the implementation of dialogs in general. Basic usage Adding a dialog using the new tag can be achieved with just a few lines of code. ` However, adding the dialog alone won’t do anything to the page. It will show up only once you call the .showModal() method against it. ` Then if you want to close it you can call the .close() method on the dialog, or press the escape key to close it, just like most other modals work. Also, note how a backdrop appears that darkens the rest of the page and prevents you from interacting with it. Neat! Accessibility and focus management Correctly handling focus is important when making your web applications accessible to all users. Typically you have to move the current focus to the active dialog when showing them, but with the dialog element that’s done for you. By default, the focus will be set on the first focusable element in the dialog. You can optionally change which element receives focus first by setting the autofocus attribute on the element you want the focus to start on, as seen in the previous example where that attribute was added to the close element. Using the .showModal() method to open the dialog also implicitly adds the dialog ARIA role to the dialog element. This helps screen readers understand that a modal has appeared and the screen so it can act accordingly. Adding forms to dialogs Forms can also be added to dialogs, and there’s even a special method value for them. If you add a element with the method set to dialog then the form will have some different behaviors that differ from the standard get and post form methods. First off, no external HTTP request will be made with this new method. What will happen instead is that when the form gets submitted, the returnValue property on the form element will be set to the value of the submit button in the form. So given this example form: ` The form element with the example-form id will have its returnValue set to Submit. In addition to that, the dialog will close immediately after the submit event is done being handled, though not before automatic form validation is done. If this fails then the invalid event will be emitted. You may have already noticed one caveat to all of this. You might not want the form to close automatically when the submit handler is done running. If you perform an asynchronous request with an API or server you may want to wait for a response and show any errors that occur before dismissing the dialog. In this case, you can call event.preventDefault() in the submit event listener like so: ` Once your desired response comes back from the server, you can close it manually by using the .close() method on the dialog. Enhancing the backdrop The backdrop behind the dialog is a mostly translucent gray background by default. However, that backdrop is fully customizable using the ::backdrop pseudo-element. With it, you can set a background-color to any value you want, including gradients, images, etc. You may also want to make clicking the backdrop dismiss the modal, as this is a commonly implemented feature of them. By default, the <dialog> element doesn’t do this for us. There are a couple of changes that we can make to the dialog to get this working. First, an event listener is needed so that we know when the user clicks away from the dialog. ` Alone this event listener looks strange. It appears to dismiss the dialog whenever the dialog is clicked, not the backdrop. That’s the opposite of what we want to do. Unfortunately, you cannot listen for a click event on the backdrop as it is considered to be part of the dialog itself. Adding this event listener by itself will effectively make clicking anywhere on the page dismiss the dialog. To correct for this we need to wrap the contents of the dialog content with another element that will effectively mask the dialog and receive the click instead. A simple element can do! ` Even this isn’t perfect though as the contents of the div may have elements with margins in them that will push the div down, resulting in clicks close to the edges of the dialog to dismiss it. This can be resolved by adding a couple of styles the the wrapping div that will make the margin stay contained within the wrapper element. The dialog element itself also has some default padding that will exacerbate this issue. ` The wrapping div can be made into an inline-block element to contain the margin, and by moving the padding from the parent dialog to the wrapper, clicks made in the padded portions of the dialog will now interact with the wrapper element instead ensuring it won’t be dismissed. Conclusion Using the dialog element offers significant advantages for creating dialogs and modals by simplifying implementation with reasonable default behavior, enhancing accessibility for users that need assistive technologies such as screen readers by using automatic ARIA role assignment, tailored support for form elements, and flexible styling options....

Oct 25, 2024

4 mins

HTMLJavaScript

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What is Agile? Everything You Need to Know

What is Agile?

History of Agile

How it works?

Agile is a Mindset

Values of Agile Manifesto

Agile vs Waterfall

Advantages of Agile

Agile Frameworks

Scrum

Kanban

Mark Shenouda

You might also like

Exploring Angular Forms: A New Alternative with Signals

Introduction to Zod for Data Validation

How to Truncate Strings Easily with CSS

The HTML Dialog Element: Enhancing Accessibility and Ease of Use

Let's innovate together!

You might also like

Exploring Angular Forms: A New Alternative with Signals

Introduction to Zod for Data Validation

How to Truncate Strings Easily with CSS

The HTML Dialog Element: Enhancing Accessibility and Ease of Use