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button table { margin: 0; } .fa-arrow-left::before {content:"←"} Bad code <button type="button" onclick="window.open('https://example.com/other-page')"> <table> <tbody> <tr> <td> <i class="fa fa-arrow-left" aria-hidden="true"></i> </td> <td align="left">Back</td> </tr> </tbody> </table> </button> Back Issues and how to fix them The HTML isn't valid because the table element isn't allowed as a child of the button element. Based on the content categories listed on MDN, the table element qualifies as flow content and can only be placed inside an element that expects flow content. The button element, on the other hand, expects phrasing content, not flow content. The semantic information of the table doesn't cause any issues because the button's content is presentational See Buttons Role on W3C, Presentational Children. Keep it simple and structure the button element using CSS, such as Flexbox. Instead of using tables to structure the button element, use phrasing content elements, such as span, img, or SVG. Good code <button type="button" onclick="alert('Hello World!')"> Back </button> Resources <button> on MDN <table> on MDN Content categories on MDN Buttons Role on W3C <button> on W3Schools <table> on W3Schools Presentational Children
by Rian Rietveld It's a common pattern to use a logo in the header as a link to the homepage. Fun fact: the alt text of the image inside a link, will be added to the link text. The problem with linking a logo is that it serves 2 purposes: a logo, that tells you which site you are visiting; a link, that leads to the homepage. So add both that info in the alt text. Explain what's on the image and where the link leads to: "Site name logo, to the homepage". Note: Start the alt text with the visible text, then the link will be easier to target for people using voice recognition software. Let's take as example the logo of my home town Leidschendam-Voorburg. In code (simplified): <a href="/"> <img alt="Leidschendam-Voorburg logo, to the homepage" src="logo-lv.svg" /> </a> Generated HTML: VoiceOver in Safari will announce this as: All info is there. There is an advantage of using the alt text instead of an aria-label solution. When the connection is slow, the alt text will show up before the image does and already informs all users of the site name and link destination. It's quite robust. Discussion Do I need the word logo? Isn't that redundant, like the word image or picture? Yes, in this case the fact that this is a logo tells important info. Not only for blind users, but for all screenreader users. If you are visually impaired but not totally blind, you may see the image vaguely. With the addition of the word logo, you also know what the image is. The site name is required, but the logo gives extra context. Isn't this a violation of 2.5.3 Label in Name? No, the visible name is in the alt text, which becomes the accessible name of the link. Adding extra context to the link is common practice. Compare this with the notorious "Read more" link in a card. A common pattern is to use a sr-only CSS class (or equivalent) with additional text: <a href="url">Read more<span class="sr-only"> about cute kitten</span></a> . You see Read more. You hear Read more about cute kitten. In our case: You see the site name and logo; the visual position tells the link destination. You hear the site name, the fact it's a logo and the link destination. The whole visible text should be in the accessible name, but extra information, like the meaning of the image and link destination can be added for context. That way the purpose of the link is explained. Why didn't you use an aria-label? Of course there are other and also valid solutions. By using plain simple HTML I want to honor the first rule of ARIA: If you can use a native HTML element or attribute with the semantics and behavior you require already built in, instead of re-purposing an element and adding an ARIA role, state or property to make it accessible, then do so. Happy Holidays!
Bad code <button type="button" onclick="window.open('https://example.com/other-page')">Link target description</button> Issues and how to fix them A button opening a link will be unexpected behavior for screen reader users. No matter how it is styled. Links disguised as buttons won’t show up in the link list of a site in assistive technologies. Use links for navigation to other pages or sections, and buttons for actions performed on the current page or within the application. Good code <a href="https://example.com/other-page">Link target description</a> Resources ` on MDN](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/a) - [`` on MDN](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/button) - [Buttons vs. Links by Eric Eggert](https://yatil.net/blog/buttons-vs-links)
The good intentions were there but in the HTML and Accessibility world, less is sometimes more. Bad code <label for="textinput">First name</label> <input type="text" id="textinput" aria-label="First name" placeholder="First name" title="First name"> Issues and how to fix them The aria-label, placeholder, and title attributes all provide the same informaton ("First name"), leading to the screenreader reading the same text multiple times. The aria-label is unnecessary since the input is already correctly labeled by the <label> element. <label> elements should be preferred to aria-label since they are also visible to sighted users. The title attribute is not needed here, as the label and placeholder already convey the necessary information. Using title in this context adds unnecessary complexity. The placeholder text should provide a hint / example to the user what kind of input is expected, it should not act as a label or contain the same content. Good code <label for="textinput">First name</label> <input type="text" id="textinput"> Resources <label> on MDN aria-label on MDN placeholder on MDN title on MDN
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My now-traditional “summary” of the conference along with my own commentary and thoughts.
Every year, browser vendors collaborate via the Interop project to synchronize their efforts on new HTML/CSS/JS features. This year, there’s a ton of super exciting features being considered! In this blog post, we’ll explore the CSS of the future, to get a glimpse of what we’ll soon be able to do.
Imprint’s average engineer is merging 4x more PRs than 2 years ago. Yay. Aggregated behind the average is something even more interesting: we have two teams that are merging 10x their PRs over that period. One engineer is merging 25x the PRs per week of our average engineer two years ago, and a number are merging 10x. That’s pretty neat, and the slope of the line suggests our average in a year is going to look much closer to today’s p90 than today’s p50. Even more importantly, we aren’t just shipping more, our quality has improved: incidents are down 42% half-over-half, and critical incidents are down 78% half-over-half. I think we’ve always known the quality/velocity tradeoff wasn’t a particularly useful construct, but that’s undeniable today. As we’ve walked this path, we–like everyone else progressing down it–have run into the problem of pull request review. The p50 pull request review took about 33 minutes to complete 2 years ago, but now takes us about 77 minutes. The slope here correlates tightly with the number of pull requests getting merged. Tightly enough that addressing it became one of my priorities for the week. We solved it! Just kidding, we’ve absolutely not solved it, but I think our current approach is an interesting one, which we call the small-change. The work discussed here was shaped and done by many folks at Imprint including Dan, Joy, Daniel, Lenny, Taylor, Ted, and Annie, among many others. Why review pull requests? There are four reasons we review pull requests: Knowledge sharing between author and reviewer – software engineering is generally learned via apprenticeship, and reviews are a primary mechanism of experienced engineers teaching others what good software looks like. We believe the current volume means that this knowledge sharing will have to move towards operating on clusters of pull requests, rather than individual pull requests Preventing errors – review has always been an expensive time to catch errors, and we believe that effective CICD along with harness verification techniques like poteto’s pstack are more effective mechanisms for preventing errors than review Preventing malicious behavior – my experience is that even careful code review will generally miss competent malicious behavior, although fortunately most malicious behavior is incompetent. We believe both sorts of behavior are best identified using a combination of fixed rules (modifying these specific objects/classes/files requires review), anti-abuse mechanisms that we’ve refined in our LLM-based member support experiences, auditing, and audit log inspection Compliance obligations in our documented controls – these can be changed, but today they require that an independent human reviews changes in a subset of our repositories In the modern development paradigm, we think there is a better solution for each of these problems. But, we also want to make these changes very cautiously. Small steps with small-change We believe we move fast by finding narrow, contained ways to validate new practices, so to iterate our way into an effective solution, we’ve developed the concept of a small-change. Here’s how it works: When a pull request is marked ready, CICD determines whether it is eligible to be a small-change. This is represented as a passing Github check. There is also a label for visibility, but it is the check itself, managed by the build and not human modifiable, that determines eligibility. (The label is used for initial filtering, but the check is still independently verified.) Something is a small-change if it meets all of these criteria: It is less than 1,000 lines of code There are no p1 or p2 findings from our ai-code-review automated review bot The author has “experience” in the service or application, defined as 10+ prior merged pull requests into that service or application’s directories. For changes working across multiple services or applications, the author must have experience in all of them to qualify Impacts fewer than N distinct services or applications. N is 1 on our frontend monorepo, and N is 3 in our backend monorepo, where typical changes will modify both a gRPC service and a common HTTP gateway Shared libraries and utilities files are not eligible for small-change Each repository has a .small_change file which allows per-path customization while we continue to tune the behaviors. For example, a service dealing with money movement can be excluded Our Slack automation tags every reference to a pull request with reacji labeling the state of that pull request, for example if it has failing tests, if it has been approved but tests are still running, or if it is ready to merge. We added a small-change reacji that indicates which of those pull requests meet the small-change criteria In our internal skills repository, we created two skills that have been distributed across harnesses: review-small-change which takes a list of repositories and reviews all open, non-draft, small-changes, including providing approval if they meet the review’s criteria (all checks pass including small-change check, and not touching on sensitive topics such as payments and security) review-pr-cluster which reviews batches of pull requests to identify common themes that came up, and suggest opportunities for discussion and adding verifications We set the social expectation that any error caused by a small-change is a failure in our system, and has to be solved at the system level: improvements to ai-code-review, to our verification mechanisms, to our CICD, to our harness, etc. This took about two days of infrequent attention to implement and rollout, although I imagine we will be tuning the knobs here for a long time. Maybe forever. fleet: centrally orchestrated harness I’ll briefly mention our other approach to reducing code review volume, which anchors on our centrally-orchestrated harness, fleet. (Which is similar to Stripe’s Minions although not following the one-shot approach in particular). We rely on fleet to implement and verify software in a highly controlled harness running in the cloud, with independent evaluation mechanisms to identify the correct number of independent reviewers for any given change. That number can be as low as one (e.g. fleet writes, one human reviews) for changes evaluated as safe. Results / next steps / reception I’ll be honest, it’s too early to give a useful result here. From early results, about 10% of changes qualify as a small-change. Those are now eligible for very fast approval, and generally get it unless they trip a flag, generally due to touching a security or money adjacent topic. While 10% is a small percentage, the core concept here is working, and ultimately will succeed or fail based on our ability to expand that percentage over the next few months in tandem with expanding our verification mechanisms to be increasingly comprehensive. This is ultimately going to fail or succeed depending on our ability to improve our verifications, which does require more difficult sorts of techniques to accomplish in low scale-complexity, high domain-complexity software than in the high scale-complexity, low domain-complexity products where many techniques like incremental rollouts are exceptionally effective. (Don’t get me wrong, they still work, they just provide less coverage when most users have different configuration and behavior.) Folks have not been uniformly excited about this, it’s a substantial change from how we’ve learned to be good engineers, and it’s uncomfortable to reevaluate whether a long-held best practice has become merely dogma. The most energizing part of the current cycle is that we get to reevaluate these practices we grew up on every week; the most painful part of the current cycle is that we’re likely to fall behind if we ever stop reevaluating them.
The park near my house has lots of chestnuts and my kids have been collecting them like crazy (it’s actually their favorite post-school activity). We accumulated quite a hoard. I thought it would be fun to make a launcher so we had something to do with our new chestnut collection. I wanted to go with a very simple crossbow-style design (like the famous D2 item) using latex tubing and a leather pouch for holding the chestnuts. This is what I came up with. It launches chestnuts about 220 feet, and it’s simple enough to build in an afternoon. The frame is a 42 inch 2x2 and a spare IKEA bed slat for the crossbeam, glued and screwed together. A 3/8 inch eye bolt goes through each end of the crossbeam, and the latex tubing is tied to those and to the pouch from a leather shepherd’s sling. Tying the tubing was the fiddliest part. It has to be stretched while you wrap it with butcher’s twine, so I clamped a couple of scrap blocks to my workbench to hold it. I like this design because the tubing can be wrapped around the eye bolts to easily add more tension and power. The Trigger My favorite part of the design was that I decided to use an archery release like this one for the trigger. It provides a safe and reliable way to hold the tubing back, and it’s made to let go cleanly. I 3D printed a little housing that mounts the release securely to the back of the stock, and the release clips onto a loop of archery D-loop cord on the back of the pouch. Then I added a dowel for a rear grip and an old handle I had previously removed from my shop vac. How Well Does It Work? We tried it at the park and it works surprisingly well. Aimed at about 35 to 40 degrees, it sends our chestnuts (on the small side, about 10 to 15 grams) about 220 feet. Thanks to the archery release, we haven’t had a single misfire. I got curious and did some rough math. To go that far with air drag, the chestnuts are leaving at somewhere around 85 to 100 mph, which works out to about the same energy as a paintball. So safety glasses are important and you never point it at anyone. You can find the 3D print on Printables and a full build guide on Instructables. Make sure to always use it with adult supervision :)
I have a lot of digital cross-stitch patterns and until recently they were a mess. My “collection” was a series of several hundred PDFs, disorganised and spread across my disk. Recently, I was looking for a pattern and it took me several minutes to find it. I had a brief moment of panic, thinking that I’d lost it, and the website this pattern came from is long since gone. Fortunately it did turn up, but it was clear I had to organise my pattern collection. Some people would use apps like Pattern Keeper or Flosshaven, but I just created another static website on my media drive. This is what it looks like: The patterns are arranged in a masonry layout with a preview thumbnail for each pattern, which is normally the first page of the PDF. If a pattern has multiple files – for example, different files for colour and black-and-white printing – there’s a list of links below the thumbnail. I can also add a source link to where I bought the pattern, if I want to find more patterns by the same author. Internally, it’s structured like my other static websites. The metadata for the patterns is stored in a JavaScript file, and then I have an HTML page which renders that metadata in this visual design. My pattern collection doesn’t change very often, so I’m adding new files by hand. There are no sorting or filtering options, because my collection is small enough that they’re unnecessary. I can scroll through the entire list in less than a minute and find whatever I need. I’d like to start making my own clothes soon, and I expect to copy this design to store clothing patterns. This collection now sits alongside my saved bookmarks, podcasts, TV shows, and more. I can keep all my patterns organised, and I won’t lose them in the depths of my hard drive. Technical tricks There are a couple of technical pieces I’m quite pleased with in this process: Masonry layout. I love the cascading grid style of a masonry layout, and I think they’re great when you have variable-sized content – like my pattern cards. I’ve been using them for over a decade; screenshots of my early web apps show my experiments with David Desandro’s Masonry.js library. Masonry layouts are now a native feature of CSS called “Grid Lanes”, which is simpler and more performant than the JavaScript approach. I’m excited to use these layouts in even more places. Thumbnails of PDFs. Most digital postage patterns are shipped as PDFs, and I’m creating the thumbnail images with my create_thumbnail tool. I had to extend my tool to support PDFs, which turned out to be straightforward with the pdf_oxide crate. I’d not come across Oxide before, but it’s a cross-language library for working with PDFs, and I can imagine using it in future. A coloured stripe for the palette. In the metadata for each project, I have the complete list of DMC thread colours and the pattern dimensions. I have a lookup table that converts DMC thread colours to hex codes, and then I’m able to create a linear gradient in CSS to render a coloured stripe of the pattern colours. Here’s an example from a pattern with four colours: border-bottom: 12px solid transparent; border-image: linear-gradient( to right, #7a451f 0%, #7a451f 25%, #985e33 25%, #985e33 50%, #e4bb8e 50%, #e4bb8e 75%, #361f0e 75%, #361f0e 100% ) 1; Building the HTML, CSS, and JavaScript was very quick – I have notes on how I build my media sites, and I’ve done it plenty of times before. I threw together the initial prototype in less than 15 minutes. The longer part was finding all the PDFs scattered across my disk – but now that’s done, and I know exactly where to find my patterns. [If the formatting of this post looks odd in your feed reader, visit the original article]
