General

“Music and code have a lot in common,” freeCodeCamp’s Jessica Wilkins on what the tech community is doing right to onboard new software engineers

Published Apr 25, 2025

Updated Apr 25, 2025

3 min read

Before she was a software developer at freeCodeCamp, Jessica Wilkins was a classically trained clarinetist performing across the country.

Her days were filled with rehearsals, concerts, and teaching, and she hadn’t considered a tech career until the world changed in 2020.

“When the pandemic hit, most of my gigs were canceled,” she says. “I suddenly had time on my hands and an idea for a site I wanted to build.”

That site, a tribute to Black musicians in classical and jazz music, turned into much more than a personal project. It opened the door to a whole new career where her creative instincts and curiosity could thrive just as much as they had in music.

Now at freeCodeCamp, Jessica maintains and develops the very JavaScript curriculum that has helped her and millions of developers around the world.

We spoke with Jessica about her advice for JavaScript learners, why musicians make great developers, and how inclusive communities are helping more women thrive in tech.

Jessica’s Top 3 JavaScript Skill Picks for 2025

If you ask Jessica what it takes to succeed as a JavaScript developer in 2025, she won’t point you straight to the newest library or trend.

Instead, she lists three skills that sound simple, but take real time to build:

“Learning how to ask questions and research when you get stuck. Learning how to read error messages. And having a strong foundation in the fundamentals”

She says those skills don’t come from shortcuts or shiny tools. They come from building.

“Start with small projects and keep building,” she says. “Books like You Don’t Know JS help you understand the theory, but experience comes from writing and shipping code. You learn a lot by doing.”

And don’t forget the people around you.

“Meetups and conferences are amazing,” she adds. “You’ll pick up things faster, get feedback, and make friends who are learning alongside you.”

Why So Many Musicians End Up in Tech

A musical past like Jessica’s isn’t unheard of in the JavaScript industry. In fact, she’s noticed a surprising number of musicians making the leap into software.

“I think it’s because music and code have a lot in common,” she says. “They both require creativity, pattern recognition, problem-solving… and you can really get into flow when you’re deep in either one.”

That crossover between artistry and logic feels like home to people who’ve lived in both worlds.

What the Tech Community Is Getting Right

Jessica has seen both the challenges and the wins when it comes to supporting women in tech.

“There’s still a lot of toxicity in some corners,” she says. “But the communities that are doing it right—like Women Who Code, Women in Tech, and Virtual Coffee—create safe, supportive spaces to grow and share experiences.”

She believes those spaces aren’t just helpful, but they’re essential.

“Having a network makes a huge difference, especially early in your career.”

What’s Next for Jessica Wilkins?

With a catalog of published articles, open-source projects under her belt, and a growing audience of devs following her journey, Jessica is just getting started.

She’s still writing. Still mentoring. Still building. And still proving that creativity doesn’t stop at the orchestra pit—it just finds a new stage.

Follow Jessica Wilkins on X and Linkedin to keep up with her work in tech, her musical roots, and whatever she’s building next.

Sticker illustration by Jacob Ashley.

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.

Incremental Hydration in Angular

Incremental Hydration in Angular Some time ago, I wrote a post about SSR finally becoming a first-class citizen in Angular. It turns out that the Angular team really treats SSR as a priority, and they have been working tirelessly to make SSR even better. As the previous blog post mentioned, full-page hydration was launched in Angular 16 and made stable in Angular 17, providing a great way to improve your Core Web Vitals. Another feature aimed to help you improve your INP and other Core Web Vitals was introduced in Angular 17: deferrable views. Using the @defer blocks allows you to reduce the initial bundle size and defer the loading of heavy components based on certain triggers, such as the section entering the viewport. Then, in September 2024, the smart folks at Angular figured out that they could build upon those two features, allowing you to mark parts of your application to be server-rendered dehydrated and then hydrate them incrementally when needed - hence incremental hydration. I’m sure you know what hydration is. In short, the server sends fully formed HTML to the client, ensuring that the user sees meaningful content as quickly as possible and once JavaScript is loaded on the client side, the framework will reconcile the rendered DOM with component logic, event handlers, and state - effectively hydrating the server-rendered content. But what exactly does "dehydrated" mean, you might ask? Here's what will happen when you mark a part of your application to be incrementally hydrated: 1. Server-Side Rendering (SSR): The content marked for incremental hydration is rendered on the server. 2. Skipped During Client-Side Bootstrapping: The dehydrated content is not initially hydrated or bootstrapped on the client, reducing initial load time. 3. Dehydrated State: The code for the dehydrated components is excluded from the initial client-side bundle, optimizing performance. 4. Hydration Triggers: The application listens for specified hydration conditions (e.g., on interaction, on viewport), defined with a hydrate trigger in the @defer block. 5. On-Demand Hydration: Once the hydration conditions are met, Angular downloads the necessary code and hydrates the components, allowing them to become interactive without layout shifts. How to Use Incremental Hydration Thanks to Mark Thompson, who recently hosted a feature showcase on incremental hydration, we can show some code. The first step is to enable incremental hydration in your Angular application's appConfig using the provideClientHydration provider function: ` Then, you can mark the components you want to be incrementally hydrated using the @defer block with a hydrate trigger: ` And that's it! You now have a component that will be server-rendered dehydrated and hydrated incrementally when it becomes visible to the user. But what if you want to hydrate the component on interaction or some other trigger? Or maybe you don't want to hydrate the component at all? The same triggers already supported in @defer blocks are available for hydration: - idle: Hydrate once the browser reaches an idle state. - viewport: Hydrate once the component enters the viewport. - interaction: Hydrate once the user interacts with the component through click or keydown triggers. - hover: Hydrate once the user hovers over the component. - immediate: Hydrate immediately when the component is rendered. - timer: Hydrate after a specified time delay. - when: Hydrate when a provided conditional expression is met. And on top of that, there's a new trigger available for hydration: - never: When used, the component will remain static and not hydrated. The never trigger is handy when you want to exclude a component from hydration altogether, making it a completely static part of the page. Personally, I'm very excited about this feature and can't wait to try it out. How about you?...

Mar 14, 2025

3 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

“We were seen as amplifiers, not collaborators,” Ashley Willis, Sr. Director of Developer Relations at GitHub, on How DevRel has Changed, Open Source, and Holding Space as a Leader

Ashley Willis has seen Developer Relations evolve from being on the sidelines of the tech team to having a seat at the strategy table. In her ten years in the space, she’s done more than give great conference talks or build community—she’s helped shape what the DevRel role looks like for software providers. Now as the Senior Director of Developer Relations at GitHub, Ashley is focused on building spaces where developers feel heard, seen, and supported. > “A decade ago, we were seen as amplifiers, not collaborators,” she says. “Now we’re influencing product roadmaps and shaping developer experience end to end.” DevRel Has Changed For Ashley, the biggest shift hasn’t been the work itself—but how it’s understood. > “The work is still outward-facing, but it’s backed by real strategic weight,” she explains. “We’re showing up in research calls and incident reviews, not just keynotes.” That shift matters, but it’s not the finish line. Ashley is still pushing for change when it comes to burnout, representation, and sustainable metrics that go beyond conference ROI. > “We’re no longer fighting to be taken seriously. That’s a win. But there’s more work to do.” Talking Less as a Leader When we asked what the best advice Ashley ever received, she shared an early lesson she received from a mentor: “Your presence should create safety, not pressure.” > “It reframed how I saw my role,” she says. “Not as the one with answers, but the one who holds the space.” Ashley knows what it’s like to be in rooms where it’s hard to speak up. She leads with that memory in mind, and by listening more than talking, normalizing breaks, and creating environments where others can lead too. > “Leadership is emotional labor. It’s not about being in control. It’s about making it safe for others to lead, too.” Scaling More Than Just Tech Having worked inside high-growth companies, Ashley knows firsthand: scaling tech is one thing. Scaling trust is another. > “Tech will break. Roadmaps will shift. But if there’s trust between product and engineering, between company and community—you can adapt.” And she’s learned not to fall for premature optimization. Scale what you have. Don’t over-design for problems you don’t have yet. Free Open Source Isn’t Free There’s one myth Ashley is eager to debunk: that open source is “free.” > “Open source isn’t free labor. It’s labor that’s freely given,” she says. “And it includes more than just code. There’s documentation, moderation, mentoring, emotional care. None of it is effortless.” Open source runs on human energy. And when we treat contributors like an infinite resource, we risk burning them out, and breaking the ecosystem we all rely on. > “We talk a lot about open source as the foundation of innovation. But we rarely talk about sustaining the people who maintain that foundation.” Burnout is Not Admirable Early in her career, Ashley wore burnout like a badge of honor. She doesn’t anymore. > “Burnout doesn’t prove commitment,” she says. “It just dulls your spark.” Now, she treats rest as productive. And she’s learned that clarity is kindness—especially when giving feedback. > “I thought being liked was the same as being kind. It’s not. Kindness is honesty with empathy.” The Most Underrated GitHub Feature? Ashley’s pick: personal instructions in GitHub Copilot. Most users don’t realize they can shape how Copilot writes, like its tone, assumptions, and context awareness. Her own instructions are specific: empathetic, plainspoken, technical without being condescending. For Ashley, that helps reduce cognitive load and makes the tool feel more human. > “Most people skip over this setting. But it’s one of the best ways to make Copilot more useful—and more humane.” Connect with Ashley Willis She has been building better systems for over a decade. Whether it’s shaping Copilot UX, creating safer teams, or speaking truth about the labor behind open source, she’s doing the quiet work that drives sustainable change. Follow Ashley on BlueSky to learn more about her work, her maker projects, and the small things that keep her grounded in a fast-moving industry. Sticker Illustration by Jacob Ashley....

Apr 18, 2025

3 mins

Engineering LeadershipGitHub

Vercel & React Native - A New Era of Mobile Development?

Vercel & React Native - A New Era of Mobile Development? Jared Palmer of Vercel recently announced an acquisition that spiked our interest. Having worked extensively with both Next.js and Vercel, as well as React Native, we were curious to see what the appointment of Fernando Rojo, the creator of Solito, as Vercel's Head of Mobile, would mean for the future of React Native and Vercel. While we can only speculate on what the future holds, we can look closer at Solito and its current integration with Vercel. Based on the information available, we can also make some educated guesses about what the future might hold for React Native and Vercel. What is Solito? Based on a recent tweet by Guillermo Rauch, one might assume that Solito allows you to build mobile apps with Next.js. While that might become a reality in the future, Jamon Holmgren, the CTO of Infinite Red, added some context to the conversation. According to Jamon, Solito is a cross-platform framework built on top of two existing technologies: - For the web, Solito leverages Next.js. - For mobile, Solito takes advantage of Expo. That means that, at the moment, you can't build mobile apps using Next.js & Solito only - you still need Expo and React Native. Even Jamon, however, admits that even the current integration of Solito with Vercel is exciting. Let's take a closer look at what Solito is according to its official website: > This library is two things: > > 1. A tiny wrapper around React Navigation and Next.js that lets you share navigation code across platforms. > > 2. A set of patterns and examples for building cross-platform apps with React Native + Next.js. We can see that Jamon was right - Solito allows you to share navigation code between Next.js and React Native and provides some patterns and components that you can use to build cross-platform apps, but it doesn't replace React Native or Expo. The Cross-Platformness of Solito So, we know Solito provides a way to share navigation and some patterns between Next.js and React Native. But what precisely does that entail? Cross-Platform Hooks and Components If you look at Solito's documentation, you'll see that it's not only navigation you can share between Next.js and React Native. There are a few components that wrap Next.js components and make them available in React Native: - Link - a component that wraps Next.js' Link component and allows you to navigate between screens in React Native. - TextLink - a component that also wraps Next.js' Link component but accepts text nodes as children. - MotiLink - a component that wraps Next.js' Link component and allows you to animate the link using moti, a popular animation library for React Native. - SolitoImage - a component that wraps Next.js' Image component and allows you to display images in React Native. On top of that, Solito provides a few hooks that you can use for shared routing and navigation: - useRouter() - a hook that lets you navigate between screens across platforms using URLs and Next.js Url objects. - useLink() - a hook that lets you create Link components across the two platforms. - createParam() - a function that returns the useParam() and useParams() hooks which allow you to access and update URL parameters across platforms. Shared Logic The Solito starter project is structured as a monorepo containing: - apps/next - the Next.js application. - apps/expo or apps/native - the React Native application. - packages/app - shared packages across the two applications: - features - providers - navigation The shared packages contain the shared logic and components you can use across the two platforms. For example, the features package contains the shared components organized by feature, the providers package contains the shared context providers, and the navigation package includes the shared navigation logic. One of the key principles of Solito is gradual adoption, meaning that if you use Solito and follow the recommended structure and patterns, you can start with a Next.js application only and eventually add a React Native application to the mix. Deployments Deploying the Next.js application built on Solito is as easy as deploying any other Next.js application. You can deploy it to Vercel like any other Next.js application, e.g., by linking your GitHub repository to Vercel and setting up automatic deployments. Deploying the React Native application built on top of Solito to Expo is a little bit more involved - you cannot directly use the Github Action recommended by Expo without some modification as Solito uses a monorepo structure. The adjustment, however, is luckily just a one-liner. You just need to add the working-directory parameter to the eas update --auto command in the Github Action. Here's what the modified part of the Expo Github Action would look like: ` What Does the Future Hold? While we can't predict the future, we can make some educated guesses about what the future might hold for Solito, React Native, Expo, and Vercel, given what we know about the current state of Solito and the recent acquisition of Fernando Rojo by Vercel. A Competitor to Expo? One question that comes to mind is whether Vercel will work towards creating a competitor to Expo. While it's too early to tell, it's not entirely out of the question. Vercel has been expanding its offering beyond Next.js and static sites, and it's not hard to imagine that it might want to provide a more integrated, frictionless solution for building mobile apps, further bridging the gap between web and mobile development. However, Expo is a mature and well-established platform, and building a mobile app toolchain from scratch is no trivial task. It would be easier for Vercel to build on top of Expo and partner with them to provide a more integrated solution for building mobile apps with Next.js. Furthermore, we need to consider Vercel's target audience. Most of Vercel's customers are focused on web development with Next.js, and switching to a mobile-first approach might not be in their best interest. That being said, Vercel has been expanding its offering to cater to a broader audience, and providing a more integrated solution for building mobile apps might be a step in that direction. A Cross-Platform Framework for Mobile Apps with Next.js? Imagine a future where you write your entire application in Next.js — using its routing, file structure, and dev tools — and still produce native mobile apps for iOS and Android. It's unlikely such functionality would be built from scratch. It would likely still rely on React Native + Expo to handle the actual native modules, build processes, and distribution. From the developer’s point of view, however, it would still feel like writing Next.js. While this idea sounds exciting, it's not likely to happen in the near future. Building a cross-platform framework that allows you to build mobile apps with Next.js only would require a lot of work and coordination between Vercel, Expo, and the React Native community. Furthermore, there are some conceptual differences between Next.js and React Native that would need to be addressed, such as Next.js being primarily SSR-oriented and native mobile apps running on the client. Vercel Building on Top of Solito? One of the more likely scenarios is that Vercel will build on top of Solito to provide a more integrated solution for building mobile apps with Next.js. This could involve providing more components, hooks, and patterns for building cross-platform apps, as well as improving the deployment process for React Native applications built on top of Solito. A potential partnership between Vercel and Expo, or at least some kind of closer integration, could also be in the cards in this scenario. While Expo already provides a robust infrastructure for building mobile apps, Vercel could provide complementary services or features that make it easier to build mobile apps on top of Solito. Conclusion Some news regarding Vercel and mobile development is very likely on the horizon. After all, Guillermo Rauch, the CEO of Vercel, has himself stated that Vercel will keep raising the quality bar of the mobile and web ecosystems. While it's unlikely we'll see a full-fledged mobile app framework built on top of Next.js or a direct competitor to Expo in the near future, it's not hard to imagine that Vercel will provide more tools and services for building mobile apps with Next.js. Solito is a step in that direction, and it's exciting to see what the future holds for mobile development with Vercel....

Apr 4, 2025

6 mins

NextJSReact NativeDevOps

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“Music and code have a lot in common,” freeCodeCamp’s Jessica Wilkins on what the tech community is doing right to onboard new software engineers

Jessica’s Top 3 JavaScript Skill Picks for 2025

Why So Many Musicians End Up in Tech

What the Tech Community Is Getting Right

What’s Next for Jessica Wilkins?

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Let's innovate together!

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