Javascript

ES6 is Just JavaScript! Ladyleet's Favorite Tweets

Published Jul 1, 2021

Updated Jan 31, 2023

5 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This article was written over 18 months ago and may contain information that is out of date.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.

As JavaScript developers, we know that the vast majority of community engagement as well as industry networking takes place on Twitter. Likewise, many of the most thought-provoking technical conversations are happening within the confines of 280 characters.

Welcome to the first in a new series that features some of my favorite, most thought provoking tweets, why they’re important, and what we can learn from them!

Jamie Kyle: ES6 is just JavaScript. Stop confusing people!

ALT: Y'all it's time to stop talking about "ES6/ES2015" it's been 7 years since that was new. Most JavaScript developers today have not known a time before ES6. It's just JavaScript now. Your articles making it seem like a different thing are confusing people.

Our first Tweet comes from Jamie Kyle, Co-Founder and CTO of Rome Tools. Here, he is pointing out the near ubiquitous use of EcmaScript or ES versions 6 or better as standard practice in JavaScript. The reason why ES6 stands out as the first ES iteration to be considered “modern” is because the two previous ES releases occurred in 2009, six years before ES6’s release, and in 1999!

However, ES6 (and its more recent versions) is now supported by nearly all web browsers capable of handling modern JavaScript, and its use has become so common that, as Kyle argues, developers who have entered the industry within the past decade have never known a version of JavaScript that does not utilize ES6. Because of this, he feels distinguishing between JavaScript and ES6 is unnecessarily confusing for new developers, who have little reason to use JavaScript without the latest ES standards.

That being said, there are still edge cases, especially in legacy codebases, where there is no support for post ES6 bundles, and therefore a distinction should be made so that developers are aware that, especially as they progress in their careers, they may be asked to use a version of JavaScript that does not incorporate ES6.

But I believe Jamie’s tweet points to an important observation about the difficult language and lack of clarity sometimes present in online JavaScript tutorials. If our goal is to produce content that helps newcomers, juniors, and some mid-level developers, we should be using the clearest syntax and concepts available to us. Because of this, it may be unnecessary or even counterproductive to discuss ES6 and subsequent versions of it as if they are an entity separate from Modern JavaScript.

Novall Swift: Uplift Your Team!

Our second tweet comes from Novall Swift, Engineer at Apple. I’ve noticed Novall recently taking to Twitter to openly discuss an array of topics related to workplace culture and I found this one particularly engaging!

ALT: A more senior member of my team told me he learned something from me and I can't even begin to describe how happy this makes me feel.

At many points in my career, I’ve benefited from the guidance of those I work with: both those in positions more senior than me, as well as those at my level, and even those who might be considered “less experienced” than me. Mentorship takes many forms, from informal interactions such as the one Novall points out, or it can come in the form of structured relationships within a workplace.

While formal mentorship relationships can be invaluable, those in the workplace should still be willing to reach out to others to offer help, and to offer praise and encouragement where appropriate.

And while this seems so simple and obvious, with the prevalence of remote work, and the workload of many developers, informal mentorship is less common than it probably should be.

Take, for example, Andi Rohn’s response, pointing out that she tends to find senior engineers less willing to offer help than their junior counterparts. Andi suggests that senior developers’ skills often become “ossified” or set in stone, which I would take to mean that those skills are difficult to share as seniors may be less willing to engage in the conversations where skill sharing takes place.

ALT: I always learn more from "junior" engineers. You can learn from anyone if you keep an open mind. "Senior" engineers often become ossified in their own knowledge and skills. I think part of this is mental bias where the constantly have to position themselves as "superior".

But what I like most about Andi’s response is that observation that “You can learn from anyone if you keep an open mind.” which is completely true. We often think of mentorship as being a traditionally hierarchical dynamic where someone more senior helps someone less so. But this doesn’t have to be the case.

I am constantly learning new ideas and concepts- technical and otherwise- from people who are traditionally less “senior” than myself. Mentorship can, and should be symbiotic- where people at all steps in their careers are able to bring something to the table.

The most important thing, however, is just getting started. And I definitely recommend starting with noticing the work of the people around you- especially those less senior than yourself- and be willing to offer your help and praise, as Novall suggests!

Thanks so much for checking out this week’s “Ladyleet’s Favorite Tweets”! Hope to see you for the next one!

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.

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About the author(s)

Tracy Lee
Partner, This Dot Google Developer Expert (Angular, TC39, Web) RxJS Core Team & Lead for RxJS Learning Team Contributor to Angular, RxJS, EmberJS

Key Strengths:
- Teaching developer relations strategies
- Influencer marketing
- Developing brands
- Community strategies and maintenance
- Creating product launch strategies
- Leading marketing operations efforts & standards
- Effective conference presence & speaking strategies
@ladyleet @ladyleet

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

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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

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Intro to DevRel: 5 Reasons Why DevRel Teams Fail

Although Developer Relations (DevRel) defies traditional marketing strategies, prioritizing enhancing developer satisfaction ahead of promoting numbers that contribute to a sales funnel, it is still possible for DevRel teams to fail at delivering desired business objectives. And unfortunately, more often than not, this leads to the dissolution of DevRel efforts, and sometimes even role elimination. Below, I’ve compiled a list of five of the top reasons why DevRel teams fail. 1. Lack of Leadership Buy-In DevRel requires buy-in and support from executives and stakeholders within the company. Without buy-in, being able to work cross-functionally across the organization, get access to data needed for measuring success, have the ability to influence change within the organization, or get the budget for necessary activities to engage developers will be impossible. I asked Jason Lengstorf, the host and founder of Learn With Jason and previously on the Developer Relations team at Netlify and Gatsby, where he has seen companies fail at DevRel before: “Companies that want to invest in DevRel can collect as many well-known developers as they can, but giving them zero dollars and zero autonomy will force teams to rage quit or become content farms because that’s all you can do with no budget.” Other examples are departments not willing to share or give data that helps enable DevRel to understand the metrics they need to effectively baseline and track the success of their efforts. By not doing so, the DevRel team will not be able to justify their work to leadership, which will lead to those positions being cut first when budget cuts come around. Chris Woodruff, Founder of Advocatus, a Developer Relations consultancy, says “DevRel is seeing a lot of layoffs. It’s the easiest team for management to let go because they don’t fully understand the ROI and metrics. These are the holy grails of DevRel, and because they do not understand, they will always be the first teams to let go if management can’t see the actual return or how it affects the bottom line.” 2. Company Culture Fit If an organization's culture does not value collaboration and resists the presence of a DevRel team, DevRel will not be able to effectively advocate for developers or help teams be more successful with their target audience. Francesco Tisiot, Senior Developer Advocate at Aiven, an open-source data platform that makes setting up cloud databases simple, shared one of his experiences in his Developer Relations career. “I was one of the first DevRel hires in a company and we were in the marketing organization. Initially, there was pushback from engineering and product teams on our product feedback and feature requests since we weren't seen as experts. But, DevRel is about breaking barriers and building bridges, so, in leading by example, we demonstrated our technical knowledge and now have a strong impact on all the teams.” Michael Liendo, Senior Developer Advocate at AWS, an online platform by Amazon that provides scalable and cost-effective cloud computing solutions, shared how he was able to find the company culture fit within organizations he has served in the past. Being in a position of Developer Advocacy, and quite literally trying to advocate for developers that use the platform, he says, “Some of the biggest challenges for DevRel are actually internal. Engineers at many companies often focus on one piece of the product. As they're testing features, they may be creating workarounds without realizing they're workarounds. This means they often miss what a proper Developer Experience flow looks like. I've had to push for them to include me in design meetings, and get them to understand that I'm the Lorax--I speak for the community! A phrase I have been known to say is ‘this solves the problem, but it's not a solution’. I'm known for having a high bar for what is considered ‘good enough’ and though the end result is accumulated trust, it's a challenge to get there.” 3. Operating in Isolation DevRel cannot operate in isolation without integration with development, marketing, product teams, sales, or a subset of these. The team will struggle to make a significant impact. DevRel requires a collaborative approach and alignment and synergy with other teams. Francesco Ciulla, Developer Advocate at daily.dev, a professional network for developers that provides the latest tech news and articles, shares his thoughts on how DevRel organizations can be successful within larger organizations: “DevRel organizations can thrive within larger organizations by establishing clear communication channels and fostering meaningful collaborations. They must align their objectives with the company's goals and illustrate their value by sharing tangible outcomes from developer engagement.” 4. Lack of Strategy Proceeding into DevRel without a clear strategy will make it difficult for a DevRel team to establish its purpose within an organization and set priorities that will make an impact. There will not be a clear vision the team can drive towards, leading to wasted efforts and the inability to produce tangible outcomes. If DevRel does not have any goals set, they can only do their best to assume what efforts they should invest in to provide value to the organization. Worst yet, if they do not have any goals set, they may not choose to focus on providing value to the organization, but to a community that the organization has no interest in. Many DevRel experts have seen this happen time and time again in the community, and are always left scratching our heads. Many times, the “strategy” for an organization is to hire DevRel, but that is where the strategy stops. Decision-makers want DevRel professionals to come in and just “do what they do best”. Unfortunately, when decision-makers say this, they typically have an idea of what outcomes they want DevRel to drive, but don’t want to share those thoughts because they feel like DevRel professionals should know what to do. Expectations left open to interpretation often lead to a poor impression of the performance of the DevRel team by decision-makers, and those teams are never able to establish a sense of trust or direction within that organization. Jeremy Meiss, former Director of Developer Relations at CircleCI, says, “One of the biggest problems we have seen in this industry is the startups that were counseled by their VC, founders, or board that they need a DevRel team because the other similar companies had one and it was great for them. They push for it, and one of the early hires is DevRel. Generally, that DevRel hire is someone relatively new in the industry, so you can coax them to start at a new company without clear goals or objectives. New hires like this come in without a lot of experience in the field of DevRel and have not experienced it at different levels of companies. They are heavily pushed by marketing, the CEO, the CTO, and other departments into thinking DevRel should look a certain way, but don’t have the foundational knowledge to be able to push back because they are not yet in this area.” Jeremy’s illustrative explanation of why a lack of strategy ultimately results in the failure of a DevRel team within an organization is one that is common across many devtool startups that have popped up in recent years. 5. Lack of Metrics and Reporting A well-rounded set of DevRel metrics typically comes from multiple areas of the organization, whether that be marketing, sales, product, customer success, or customer support. Without free access to cross-functional team data, it is difficult to show the value and ROI of DevRel. Establishing a baseline set of metrics if you’re new within an organization, or understanding the baseline metrics that currently exist is critical in ensuring the success of your job in DevRel. Tessa Mero, Head of Developer Relations at Appwrite, has a very specific set of metrics her team focuses on. She shared a few of those metrics: - Growth of our GitHub Repo (stars) - Growth of our Discord Community - Improved engagement in Discord community - Growth of our Twitter followers and engagement - Growth of our Appwrite Cloud developers - Number of views or impressions on any video and written content, whether it's internal or externally created - Amount of content created weekly (written or video) - Number of projects created with Appwrite for Hackathon sponsorships - Number of attendees / questions at a conference talk - Number of connections at conferences - Number of community support questions answered, improving rate of responses AND rate of how fast we respond, in all public forums - Number of support tickets responded to - Number of community feedback taken and moved into our DX/Product discussions - Number of feedback from UI/UX perspectives and working with design team to follow up with the devs/users with what we did with the feedback - Number of engagement/activity from our Appwrite heroes/ambassadors This is just one example of and a subset of metrics a DevRel team should consider tracking, but what you track and how you track it is dependent on your goals and the product. Metrics and what your leadership considers a good ROI can vary greatly from organization to organization. I spoke to another Developer Relations expert in the industry and she shared her experience with the company she just left and the reason she left - and it was focused around metrics. She was initially interested in joining the team because of the lack of metrics. However, over time, as she got more experience and as she became more visible, her workload became difficult to prioritize. Since there were no metrics, there were no objectives to measure against to say what was good and what was bad. She felt like she didn’t know what she was doing well or not doing well. Once metrics began to be implemented, the company started pushing her to do more, and she had nothing to push back with because the high-level goals were not there. There was no way to prioritize the workload. The company started tracking things like page hits, unique visitors, unique views of videos, number of subscribers, activity on twitter, and other similar numbers, but it was hard to tie any of these back to the ROI for the company. How do you quantify and determine if 100 new subscribers on YouTube is better than 100 new subscribers on twitter? If you can’t quantify it, how do you prioritize it? What Successful DevRel Teams Do Differently With the nature of DevRel and the multitude of levers and factors that determine success and failure, it’s important to allow space for a team or set of individuals to experiment and iterate before making judgment calls. One company that serves millions of developers on its platform is starting up a new meetup program and testing the ROI of sponsoring meetups around the world. Since they are in the testing and experimentation phase, they don’t yet know how to measure success, and that is clear to leadership. The current strategy is sponsoring local meetups for a few months and seeing what the result is. Why are they so seemingly laid back in their approach? Is it the right approach? The reason for the relaxed nature of the testing phase is that they don’t want to be pushy to the meetup organizer to find something out or measure something. They are not expecting anything, but will evaluate what metrics they could use to establish success criteria. This approach is a thoughtful and empathetic one, and clearly, the DevRel team has an understanding of how to approach community members in a way that will not turn them off. Internally, the simple numbers they are looking at are the number of RSVPs, the number of attendees that show up, and the difference between the two. DevRel is naturally iterative and requires a team to experiment, test, and refine their strategies. Effectively engaging developers is not black and white, and a strategy that works for one community or company may not necessarily work for another. Furthermore, building domain expertise and gaining a deep understanding of the developer community they serve takes time. Experimentation and iteration help teams refine their knowledge, identify patterns, and develop strategies that resonate with developers. This expertise becomes an asset in driving long-term success. It’s also important to acknowledge that building domain expertise within a segment as well as building relationships and trust with developers in that segment takes time. The technology landscape changes quickly and new technologies are being released weekly. Developer sentiment is fickle and changes just as quickly regarding favored approaches and products. That being said, the above pitfalls remain common causes for DevRel teams to fail, and by remaining mindful of and vigilant against them, DevRel teams both new and old can succeed in supporting key business objectives like developer retention, community growth, and product development....

Feb 14, 2024

9 mins

DevRel

“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

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ES6 is Just JavaScript! Ladyleet's Favorite Tweets

Jamie Kyle: ES6 is just JavaScript. Stop confusing people!

Novall Swift: Uplift Your Team!

Tracy Lee

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