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Beware! This post includes spoilers! I recently built an escape room game called CSScape Room. This isn’t my first JavaScript-free web game, but HTML and CSS have evolved significantly since my previous attempts, with newer additions allowing for more complex selectors and native interactions. Rather than saving this idea for a game jam, I built it purely for fun, which freed me from theme constraints and time pressure. I’ve enjoyed escape room games since childhood, and it was nostalgic to recreate that experience myself. This project pushed my artistic limits while challenging me to design puzzles and translate them into complex HTML and CSS. The learning process was fun, challenging, and sometimes tedious—mostly through trial and error. Process My creative process isn’t linear—it’s a blend of designing, puzzle creation, and coding that constantly influences each other. I frequently had to redesign or recode elements as the project evolved. There was also that time I accidentally deleted half my CSS because I wasn’t backing up to GitHub... lesson learned! 😬 This might sound chaotic, and honestly, it was. If you’re wondering where to start with a project like this, I began by prototyping the room navigation system. I figured that was the minimum viable feature—if I couldn’t make that work, I’d abandon the project. The solution I eventually found seems simple in retrospect, but I went through several iterations to discover it. This flexible approach makes sense for my creative projects. As I build something, both the in-progress work and my growing skills inevitably influences the entire project. I’m comfortable with this non-linear process—it also suits my ADHD brain, where I tend to lose interest if I work on the same thing for too long. Artwork I’d wanted to design a pixel art-styled game for some time but never felt confident enough to attempt it during a game jam because of the learning curve. I watched tutorials from Adam Yunis and Mort to get a crash course in pixel art best practices. Initially, progress was slow. I had to figure out 2D perspective with vanishing points, determine a color palette, practice shading techniques, and decide how much detail to include. While I tried to adhere to pixel art “rules,” I definitely broke some along the way. One challenge I set for myself was using only 32 colors to capture the feeling of an older gaming console. Once I got comfortable with shading and dithering, working within this constraint became easier. An added benefit to using 32 colors was it resulted in smaller image sizes—the game’s 79 images account for only about 25% of the total payload. I attempted to design sprites using dimensions in multiples of eight, but I’ll admit I became less strict about this as the project progressed. At a certain point, I was struggling enough with the color and styling limitations that this guideline became more of a starting point than a rule. I considered creating my own font, but after exhausting myself with all the artwork, I opted for Google’s PixelifySans instead. Almost all animation frames were individually drawn (except for the “one” TV animation). This was tedious, but I was determined to stay true to old-school techniques! I did use CSS to streamline some animations—for instance, I used animation-direction: alternate on the poster page curl to create a palindrome effect, halving the number of required sprites. Mechanics Like my previous game Heiro, this project primarily uses checkbox and radio button mechanics. However, the addition of the :has() pseudo-selector opened up many more possibilities. I also utilized the popover API to create more detailed interactions. Checkbox and Radio Selection Triggering interactions by toggling checkboxes and radio buttons isn’t new, but the :has() selector is a game-changer! Before this existed, you had to structure your markup so interactive elements were siblings. The :has() selector makes this far more flexible because you no longer need to rely on a specific HTML structure. #element { display: none; } :has(#checkbox:checked) #element { display: block; } Using this pattern, :has() looks for #checkbox anywhere on the page, meaning you don’t have to rely on #checkbox, its corresponding <label>, or #element being siblings. The markup structure is no longer a constraint. Most of this game functions on toggling checkboxes and radios to unlock, collect, and use items. Navigation I almost gave up on the current implementation, and used basic compass notation to avoid visual transitions between directions. After several failed attempts, I found a solution. The tricky part was determining how to transition into a direction from either left or right, depending on which arrow was clicked. My solution is conceptually simple but difficult to explain! First, I used radio buttons to determine which direction you’re facing (since you can only face one direction at a time). Second, I needed a way to determine if you’re entering a direction from west or east. This required eight radio buttons—two for each direction. For example, if you’re facing east (having come from facing north), you have two possible directions to go: west (returning to face north) or east (to face south). I needed to make the radio buttons visible that would take you north from east, and south from west. The CSS looks something like this: :has(#east-from-west:checked) :is( [for="south-from-west"], [for="north-from-east"]) { display: block; } This pattern was implemented for each direction, along with animations to ensure each room view slid in and out correctly. Zooming In I initially focused so much on checkbox mechanics that I assumed I’d need the same approach for zooming in on specific areas. Then I had a "Duh!" moment and realized the popover API would be perfect. Here’s the basic markup for looking at an individual book: <button popovertarget="book">Zoom in</button> <div id="book" popover> <!-- Book content goes here --> <button popovertarget="book" popovertargetaction="hide">Close</button> </div> Turning the Lights Off I procrastinated on implementing this feature because I thought I’d need to create darkened variations of all artwork. I don’t recall what inspired me to try blend modes, but I’m glad I did—the solution was surprisingly simple. When the light switch checkbox is toggled, a <div> becomes visible with a dark background color and mix-blend-mode: multiply. This multiplies the colors of the blending and base layers, resulting in a darker appearance. Playing the Crossword This required surprisingly complex CSS. Each square has three letters plus a blank tile, meaning four radio buttons. The :checked letter has a z-index of 3 to display above other letters, but also has pointer-events: none so clicks pass through to the next letter underneath (with z-index: 2). The remaining tiles have a z-index of 1. The CSS becomes even trickier when the last tile is :checked, requiring some creative selector gymnastics to target the first radio button in the stack again. Tools I created all artwork using Aseprite, which is specifically designed for pixel art. I probably only used a fraction of its features, and I’m not sure it actually made my life easier—it might have made things more difficult at times. I’m not giving up on it yet, though. I suspect I’ll occasionally discover features that make me think, “Oh, that’s way easier than what I was doing!” I started coding with basic HTML and CSS but eventually found navigation difficult with such a long HTML file. It also became tedious writing the same attributes for every <img /> element. I migrated the project to Eleventy to improve organization and create custom shortcodes for simplifying component creation. I used the html-minifier-terser npm package, which integrates well with Eleventy. I chose native CSS over Sass for several reasons: CSS now has native nesting for better organization and leaner code CSS has built-in variables HTTP/2 handles asset loading efficiently, eliminating the major benefit of bundling CSS files The game uses 12 CSS files with 12 <link rel="stylesheet" /> tags. The only Sass feature I missed was the ability to loop through style patterns for easier maintenance, but this wasn’t a significant issue. The game is hosted on GitHub Pages. During deployment, it runs an npm command to minify CSS using Lightning CSS. I mentioned accidentally deleting half my CSS earlier—this happened because I initially used Eleventy’s recommended approach with the clean-css npm package. I strongly advise against using this! This package doesn’t work with native CSS nesting. While losing code was frustrating, I rewrote much of it more efficiently, so there was a silver lining. Nice to Haves I initially wanted to make this game fully accessible, but the navigation system doesn’t translate well for screen reader users. I tried implementing a more compass-like navigation approach for keyboard users, but it proved unreliable and conflicted with the side-to-side approach. Adding text labels for interactive elements was challenging because you can’t track the :focus state of a <label> element. While you can track the :focus of the corresponding <input />, it wasn’t consistently reliable. The main keyboard accessibility issue is that the game exists as one long HTML page. When you navigate to face a different direction, keyboard focus remains elsewhere on the page, requiring extensive tabbing to reach navigation elements or item selection. I ultimately decided to make the game deliberately inaccessible by adding tabindex="-1" to all keyboard-accessible elements. I’d rather users recognize immediately that they can’t play with assistive technology than become frustrated with a partially broken experience. Sound would have been a nice addition, but I encountered the same issues as with my previous game Heiro. You can toggle the visibility of an <embed> element, but once it’s visible, you can’t hide it again—meaning there’s no way to toggle sound on and off. Conclusion CSScape Room was a fun but exhausting four-month project. It began as an experiment to see if creating a JavaScript-free escape room was possible—and the answer is definitely yes. I’ve only touched on some aspects here, so if you’re interested in the technical details, check out the source code on GitHub. Finally, I’d like to thank all my playtesters for their valuable feedback!
I’m a bit late to this, but back in summer 2024 I participated in the OST Composing Jam. The goal of this jam is to compose an original soundtrack (minimum of 3 minutes) of any style for an imaginary game. While I’ve composed a lot of video game music, I’ve never created an entire soundtrack around a single concept. Self Avoiding Walk by Daniel Marino To be honest, I wasn’t entirely sure where to start. I was torn between trying to come up with a story for a game to inspire the music, and just messing around with some synths and noodling on the keyboard. I did a little bit of both, but nothing really materialized. Synth + Metal ≈ Synthmetal Feeling a bit paralyzed, I fired up the ’ole RMG sequencer for inspiration. I saved a handful of randomized melodies and experimented with them in Reaper. After a day or two I landed on something I liked which was about the first 30 seconds or so of the second track: "Defrag." I love metal bands like Tesseract, Periphery, The Algorithm, Car Bomb, and Meshuggah. I tried experimenting with incorporating syncopated guttural guitar sounds with the synths. After several more days I finished "Defrag"—which also included "Kernel Panic" before splitting that into its own track. I didn’t have a clue what to do next, nor did I have a concept. Composing the rest of the music was a bit of a blur because I bounced around from song to song—iterating on the leitmotif over and over with different synths, envelopes, time signatures, rhythmic displacement, pitch shifting, and tweaking underlying chord structures. Production The guitars were recorded using DI with my Fender Squire and Behringer Interface. I’m primarily using the ML Sound Labs Amped Roots Free amp sim because the metal presets are fantastic and rarely need much fuss to get it sounding good. I also used Blue Cat Audio free amp sim for clean guitars. All the other instruments were MIDI tracks either programmed via piano roll or recorded with my Arturia MiniLab MKII. I used a variety of synth effects from my library of VSTs. I recorded this music before acquiring my Fender Squire Bass guitar, so bass was also programmed. Theme and Story At some point I had five songs that all sounded like they could be from the same game. The theme for this particular jam was "Inside my world." I had to figure out how I could write a story that corresponded with the theme and could align with the songs. I somehow landed on the idea of the main actor realizing his addiction to AI, embarking on a journey to "unplug." The music reflects his path to recovery, capturing the emotional and psychological evolution as he seeks to overcome his dependency. After figuring this out, I thought it would be cool to name all the songs using computer terms that could be metaphors for the different stages of recovery. Track listing Worm – In this dark and haunting opening track, the actor grapples with his addiction to AI, realizing he can no longer think independently. Defrag – This energetic track captures the physical and emotional struggles of the early stages of recovery. Kernel Panic – Menacing and eerie, this track portrays the actor’s anxiety and panic attacks as he teeters on the brink during the initial phases of recovery. Dæmons – With initial healing achieved, the real challenge begins. The ominous and chaotic melodies reflect the emotional turbulence the character endures. Time to Live – The actor, having come to terms with himself, experiences emotional growth. The heroic climax symbolizes the realization that recovery is a lifelong journey. Album art At the time I was messing around with Self-avoiding walks in generative artwork explorations. I felt like the whole concept of avoiding the self within the context of addiction and recovery metaphorically worked. So I tweaked some algorithms and generated the self-avoiding walk using JavaScript and the P5.js library. I then layered the self-avoiding walk over a photo I found visually interesting on Unsplash using a CSS blend mode. Jam results I placed around the top 50% out of over 600 entries. I would have liked to have placed higher, but despite my ranking, I thoroughly enjoyed composing the music! I’m very happy with the music, its production quality, and I also learned a lot. I would certainly participate in this style of composition jam again!
Over the past couple of years I’ve gotten into journaling. Recently I’ve been using a method where you’re given a single inspirational word as a prompt, and go from there. Unfortunately, the process of finding, saving, and accessing inspirational words was a bit of a chore: Google a list of “366 inspirational words”. Get taken to a blog bloated with ads and useless content all in an effort to generate SEO cred. Copy/paste the words into Notion. Fix how the words get formatted becasue Notion is weird, and I have OCD about formatting text. While this gets the job done, I felt like there was room to make this a more pleasant experience. All I really wanted was a small website that serves a single inspirational word on a daily basis without cruft or ads. This would allow me to get the content I want without having to scroll through a long list. I also don't want to manage or store the list of words. Once I've curated a list of words, I want to be done with it. Creating a microsite I love a good microsite, and so I decided to create one that takes all the chore out of obtaining a daily inspirational word. The website is built with all vanilla tech, and doesn’t use any frameworks! It’s nice and lean, and it’s footprint is only 6.5kb. Inspirational words While I’m not a huge fan of AI, I did leverage ChatGPT on obtaining 366 inspirational words. The benefit to ChatGPT was being able to get it to return the words as an array—cutting down on the tedium of having to convert the words I already had into an array. The words are stored in it’s own JSON file, and I use an async/await function to pull in the words, and then process the data upon return. Worth the effort I find these little projects fun and exciting because the scope is super tight, and makes for a great opportunity to learn new things. It’s definitely an overengineered solution to my problem, but it is a much more pleasant experience. And perhaps it will serve other people as well.
Over the past couple of years I’ve gotten into journaling. Recently I’ve been using a method where you’re given a single inspirational word as a prompt, and go from there. Unfortunately, the process of finding, saving, and accessing inspirational words was a bit of a chore: 1. Google a list of “366 inspirational words”. 2. Get taken to a blog bloated with ads and useless content all in an effort to generate SEO cred. 3. Copy/paste the words into Notion. 4. Fix how the words get formatted becasue Notion is weird, and I have OCD about formatting text. While this gets the job done, I felt like there was room to make this a more pleasant experience. All I really wanted was a small website that serves a single inspirational word on a daily basis without cruft or ads. This would allow me to get the content I want without having to scroll through a long list. I also don't want to manage or store the list of words. Once I've curated a list of words, I want to be done with it. ## Creating a microsite I love a good microsite, and so I decided to create one that takes all the chore out of obtaining a [daily inspirational word](https://starzonmyarmz.github.io/daily-inspirational-word/).  The website is built with all vanilla tech, and doesn’t use any frameworks! It’s nice and lean, and it’s footprint is only 6.5kb. ### Inspirational words While I’m not a huge fan of AI, I did leverage ChatGPT on obtaining 366 inspirational words. The benefit to ChatGPT was being able to get it to return the words as an array—cutting down on the tedium of having to convert the words I already had into an array. The words are stored in it’s own JSON file, and I use an async/await function to pull in the words, and then process the data upon return. ## Worth the effort I find these little projects fun and exciting because the scope is super tight, and makes for a great opportunity to learn new things. It’s definitely an overengineered solution to my problem, but it is a much more pleasant experience. And perhaps it will serve other people as well.
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I’ve never published an essay quite like this. I’ve written about my life before, reams of stuff actually, because that’s how I process what I think, but never for public consumption. I’ve been pushing myself to write more lately because my co-authors and I have a whole fucking book to write between now and October. […]
Less known desktop UI frameworks Writing desktop software is hard. The UI technologies of Windows or MacOS are awful compared to web technology. What can trivially be done with HTML/CSS/JavaScript in few minutes can take hours using Windows’s win32 APIs or Mac’s Cocoa. That’s why the default technology for desktop apps, especially cross-platform, is Electron: a Chrome browser combined with Node runtime. The problem is that it’s bloaty: each app is a unique build of Chrome with a little bit of application code. Chrome is over 100MB so many apps ship less than 1MB of code in a 100M wrapper. People tried to address the problem of poor OS APIs by writing UI frameworks, often meant to be cross-platform. You’ve heard about QT, GTK, wxWindows. The problem with those is that they are also old, their APIs are not the greatest either and they are bloaty as well. There just doesn’t seem to be a good option. Writing your own framework seems impossible due to the size of task. But is it? I’ll show a couple of less-known UI frameworks written mostly be a single person, often done simply to enable writing an application. SWELL in WDL WDL is interesting. Justin Frankel, the guy who created Winamp, has a repository of C++ code he uses in different projects. After selling Winamp to AOL, a side quest of writing file sharing application, getting fired from AOL for writing file sharing application, he started a company building Reaper a digital audio workstation software for Windows. Winamp is a win32 API program and so is Reaper. At some point Justin decided to make a Mac version but by then he had a lot of code heavily using win32 APIs. So he did what anyone in his position would: he implemented win32 APIs for Mac OS and Linux and called it SWELL - Simple Windows Emulation Layer. Ok, actually no-one else would do it. It was an insane idea but it worked. It’s important to not over-state SWELL capabilities. It’s not Wine. You can’t take any win32 program and recompile for Mac with SWELL. Frankel is insanely pragmatic and so is his code. SWELL only implements the subset of APIs he uses in Reaper. At the same time Reaper is a big app so if SWELL works for Reaper, it could work for your app. WDL is open-source using permissive MIT license. Sublime Text For a few years Sublime Text was THE programmer’s editor. It was written by a single developer in C++ and he wrote a custom UI toolkit for it. Not open source but its existence shows it can be done. RAD Debugger RAD Debugger is an open-source Windows debugger for C/C++ apps written in C by mostly a single person. It implements a custom UI framework based on 3D renderer. The UI is integral part of the the app but the code is well structured so you probably can take just their UI / render code and use it in your own C / C++ app. Currently the app / UI is only for Windows but it’s designed to be cross-platform and they are working on porting the renderer to Mac OS / Linux. They use permissive MIT license and everything is written in C. Dear ImGUI Dear ImGui is a newer cross-platform, UI framework in C++. Open source, permissive MIT license. Written by mostly a single person. Ghostty Ghostty is a cross-platform terminal emulator and UI. It’s written in Zig by mostly a single person and uses it’s own low-level GPU renderer for the UI. You too can write your own UI framework At first the idea of writing your own UI framework seems impossibly daunting. What I’m hoping to show is that if you’re ambitious enough it’s possible to build cross platform desktop apps that are not just bloated 100MB Chrome wrappers around few kilobytes of custom code. I’m not saying it’s a simple thing, just that enough people did it that it’s possible. It shouldn’t be necessary but both Microsoft and Apple have tragically dropped the ball on providing decent, high-performance UI libraries for their OS. Microsoft even writes their own apps, like Teams, in web technologies. Thanks to open source you’re not at the staring line. You can just use Dear ImGUI or WDL’s SWELL. Or you can extract the UI code from RAD Debugger or Ghostty (if you write in Zig). Or you can look at how their implementation to speed up your own design and implementation.
I released Logic for Programmers exactly one year ago today. It feels weird to celebrate the anniversary of something that isn't 1.0 yet, but software projects have a proud tradition of celebrating a dozen anniversaries before 1.0. I wanted to share about what's changed in the past year and the work for the next six+ months. The Road to 0.1 I had been noodling on the idea of a logic book since the pandemic. The first time I wrote about it on the newsletter was in 2021! Then I said that it would be done by June and would be "under 50 pages". The idea was to cover logic as a "soft skill" that helped you think about things like requirements and stuff. That version sucked. If you want to see how much it sucked, I put it up on Patreon. Then I slept on the next draft for three years. Then in 2024 a lot of business fell through and I had a lot of free time, so with the help of Saul Pwanson I rewrote the book. This time I emphasized breadth over depth, trying to cover a lot more techniques. I also decided to self-publish it instead of pitching it to a publisher. Not going the traditional route would mean I would be responsible for paying for editing, advertising, graphic design etc, but I hoped that would be compensated by much higher royalties. It also meant I could release the book in early access and use early sales to fund further improvements. So I wrote up a draft in Sphinx, compiled it to LaTeX, and uploaded the PDF to leanpub. That was in June 2024. Since then I kept to a monthly cadence of updates, missing once in November (short-notice contract) and once last month (Systems Distributed). The book's now on v0.10. What's changed? A LOT v0.1 was very obviously an alpha, and I have made a lot of improvements since then. For one, the book no longer looks like a Sphinx manual. Compare! Also, the content is very, very different. v0.1 was 19,000 words, v.10 is 31,000.1 This comes from new chapters on TLA+, constraint/SMT solving, logic programming, and major expansions to the existing chapters. Originally, "Simplifying Conditionals" was 600 words. Six hundred words! It almost fit in two pages! The chapter is now 2600 words, now covering condition lifting, quantifier manipulation, helper predicates, and set optimizations. All the other chapters have either gotten similar facelifts or are scheduled to get facelifts. The last big change is the addition of book assets. Originally you had to manually copy over all of the code to try it out, which is a problem when there are samples in eight distinct languages! Now there are ready-to-go examples for each chapter, with instructions on how to set up each programming environment. This is also nice because it gives me breaks from writing to code instead. How did the book do? Leanpub's all-time visualizations are terrible, so I'll just give the summary: 1180 copies sold, $18,241 in royalties. That's a lot of money for something that isn't fully out yet! By comparison, Practical TLA+ has made me less than half of that, despite selling over 5x as many books. Self-publishing was the right choice! In that time I've paid about $400 for the book cover (worth it) and maybe $800 in Leanpub's advertising service (probably not worth it). Right now that doesn't come close to making back the time investment, but I think it can get there post-release. I believe there's a lot more potential customers via marketing. I think post-release 10k copies sold is within reach. Where is the book going? The main content work is rewrites: many of the chapters have not meaningfully changed since 1.0, so I am going through and rewriting them from scratch. So far four of the ten chapters have been rewritten. My (admittedly ambitious) goal is to rewrite three of them by the end of this month and another three by the end of next. I also want to do final passes on the rewritten chapters; as most of them have a few TODOs left lying around. (Also somehow in starting this newsletter and publishing it I realized that one of the chapters might be better split into two chapters, so there could well-be a tenth technique in v0.11 or v0.12!) After that, I will pass it to a copy editor while I work on improving the layout, making images, and indexing. I want to have something worthy of printing on a dead tree by 1.0. In terms of timelines, I am very roughly estimating something like this: Summer: final big changes and rewrites Early Autumn: graphic design and copy editing Late Autumn: proofing, figuring out printing stuff Winter: final ebook and initial print releases of 1.0. (If you know a service that helps get self-published books "past the finish line", I'd love to hear about it! Preferably something that works for a fee, not part of royalties.) This timeline may be disrupted by official client work, like a new TLA+ contract or a conference invitation. Needless to say, I am incredibly excited to complete this book and share the final version with you all. This is a book I wished for years ago, a book I wrote because nobody else would. It fills a critical gap in software educational material, and someday soon I'll be able to put a copy on my bookshelf. It's exhilarating and terrifying and above all, satisfying. It's also 150 pages vs 50 pages, but admittedly this is partially because I made the book smaller with a larger font. ↩
Translating user interface of SumatraPDF SumatraPDF is the best PDF/eBook/Comic Book viewer for Windows. It’s small, fast, full of features, free and open-source. It became popular enough that it made sense to translate the UI for non-English users. Currently we support 72 languages. This article describes how I designed and implemented a translation system in SumatraPDF, a native win32 C++ Windows application. Hard things about translating the UI There are 2 hard things about translating an application code for translation system (extracting strings to translate, translate strings from English to user’s language) translating them into many languages Extracting strings to translate from source code Currently there are 381 strings in SumatraPDF subject to translation. It’s important that the system requires the least amount of effort when adding new strings to translate. Every string that needs to be translated is marked in .cpp or .h file with one of two macros: _TRA("Rename") _TRN("Open") I have a script that extracts those strings from source files. Mine is written in Go but it could just as well be Python or JavaScript. It’s a simple regex job. _TR stands for “translation”. _TRA(s) expands into const char* trans::GetTranslation(const char* str) function which returns str translated to current UI language. We auto-detect language at startup based on Windows settings and allow the user to explicitly set UI language. For English we just return the original string. If a string to be translated is e.g. a part of const char* array[], we can’t use trans::GetTranslation(). For cases like that we have _TRN() which expands to English string. We have to write code to translate it at some point. Adding new strings is therefore as simple as wrapping them in _TRA() or _TRN() macros. Translating strings into many languages Now that we’ve extracted strings to be translated, we need to translate them into 72 languages. SumatraPDF is a free, open-source program. I don’t have a budget to hire translators. I don’t have a budget, period. The only option was to get help from SumatraPDF users. It was vital to make it very easy for users to send me translations. I didn’t want to ask them, for example, to download some translation software. Design and implementation of AppTranslator web app I couldn’t find a really simple software for crowd sourcing translations so I wrote my own: https://github.com/kjk/apptranslator You can see it in action: https://www.apptranslator.org/app/SumatraPDF I designed it to be generic but I don’t think anyone else is using it. AppTranslator is simple. Per https://tools.arslexis.io/wc/: 4k lines of Go server code 451 lines of html code a single dependency: bootstrap CSS framework (the project is old) It’s simple because I don’t want to spend a lot of time writing translation software. It’s just a side project in service of the goal of translating SumatraPDF. Login is exclusively via GitHub. It doesn’t even use a database. Like in Redis, changes are stored as a series of operations in an append-only log. We keep the whole state in memory and re-create it from the log at startup. Main operation is translate a string from English to language X represented as [kOpTranslation, english string, language, translation, user who provided translation]. When user provides a translation in the web UI, we send an API call to the server which appends the translation operation to the log. Simple and reliable. Because the code is written in Go, it’s very fast and memory efficient. When running it uses mere megabytes of RAM. It can comfortably run on the smallest 256 MB VPS server. I backup the log to S3 so if the server ever fails, I can re-install the program on a new server and re-download the translations from S3. I provide RSS feed for each language so that people who provide translations can monitor for new strings to be translated. Sending strings for translation and receiving translations So I have a web app for collecting translations and a script that extracts strings to be translated from source code. How do they connect? AppTranslator has an API for submitting the current set of strings to be translated in the simplest possible format: a line for each string (I ensure there are no newlines in the string itself by escaping them with \n) API is password protected because only I can submit the strings. The server compares the strings sent with the current set and records a difference in the log. It also sends a response with translations. Again the simplest possible format: AppTranslator: SumatraPDF 651b739d7fa110911f25563c933f42b1d37590f8 :%s annotation. Ctrl+click to edit. am:%s մեկնաբանություն: Ctrl+քլիք՝ խմբագրելու համար: ar:ملاحظة %s. اضغط Ctrl للتحرير. az:Qeyd %s. Düzəliş etmək üçün Ctrl+düyməyə basın. As you can see: a string to translate is on a line starting with : is followed by translations of that strings in the format: ${lang}: ${translation} An optimization: 651b739d7fa110911f25563c933f42b1d37590f8 is a hash of this response. If I submit this hash with my request and translations didn’t change on the server, the response is empty. Implementing C++ part of translation system So now I have a text file with translation downloaded from the server. How do I get a translation in my C++ code? As with everything in SumatraPDF, I try to do things in a simple and efficient way. The whole Translation.cpp is only 239 lines of code. The core of translation system is const char* trans::GetTranslation(const char* s); function. I embed the translations in exact the same format as received from AppTranslator in the executable as data file in resources. If the UI language is English, we do nothing. trans::GetTranslation() returns its argument. When we switch the language, we load the translations from resources and build an index: an array of English strings an array of corresponding translations Both arrays use my own StrVec class optimized for storing an array of strings. To find a translation we scan the first array to find an index of the string and return translation from the second array, at the same index. Linear scan seems like it would be slow but it isn’t. Resizing dialogs I have a few dialogs defined in SumatraPDF.rc file. The problem with dialogs is that position of UI elements is fixed. A translated string will almost certainly have a different size than the English string which will mess up fixed layout. Thankfully someone wrote DialogSizer that smartly resizes dialogs and solves this problem. The evolution of a solution No AppTranslator My initial implementation was simpler. I didn’t yet have AppTranslator so I stored the strings in a text file in repository in the same format as what I described above. People would download it, make changes using a text editor and send me the file via email which I would then checkin. It worked for a while but it became worse over time. More strings, more languages created more work for me to manually manage e-mail submissions. I decided to automate the process. Code generation My first implementation of C++ side used code generation instead of embedding the text file in resources. My Go script would generate C++ source code files with static const char* [] arrays. This worked well but I decided to improve it further by making the code use the text file with translations embedded in the app. The main motivation for the change was to open a possibility of downloading latest translations from the server to fix the problem of translations not being all ready when I build the release executable. I haven’t done that yet but it’s now easier to implement given that the format of strings embedded in the exe is the same as the one I can download from AppTranslator. Only utf-8 SumatraPDF started by using both WCHAR* Unicode strings and char* utf8 strings. For that reason the translation system had to support returning translation in both WCHAR* and char* version. Over time I refactored the code to use mostly utf8 and at some point I no longer needed to support WCHAR* version. That made the code even smaller and reduced memory usage. The experience I’m happy how things turned out. AppTranslator proved to be reliable and hassle free. It runs for many years now and collected 35440 string translations from users. I automated everything so that all I need to do is to periodically re-run the script that extracts strings from source code, uploads them to AppTranslator and downloads latest translations. One problem is that translations are not always ready in time for release so I make a release and then people start translating strings added since last release. I’ve considered downloading the latest translations from the server, in addition to embedding them in an executable at the time of building the app. Would I do the same today? While AppTranslator is reliable and doesn’t require on-going work, it would be better to not have to run a server at all. The world has changed since I started SumatraPDF. Namely: people are comfortable using GitHub and you can edit files directly in GitHub UI. It’s not a great experience but it works. One option would be to generate a translation text file for each language, in this format: :first untranslated string :second untranslated string :first translated string translation of first string :second translated string translation of second string Untranslated strings are listed at the top, to make it easier to find. A link would send a translator directly to edit this file in GitHub UI. When translator saves translations, it creates a PR for me to review and merge. The roads not taken But why did you re-invent everything? You should do X instead. All other X that I know about suck. Using per-language .rc resource files Traditional way of localizing / translating Window GUI apps is to store all strings and dialog definitions in an .rc file. Each language gets its own .rc file (or files) and the program picks the right resource based on a language. This doesn’t solve the 2 hard problems: having an easy way to add strings for translations having an easy way for users to provide translations XML horror show There was a dark time when the world was under the iron grip of XML fanaticism. Everything had to be an XML file even when it was the worst possible solution for the problem. XML doesn’t solve the 2 hard problems and a string storage format is an absolute nightmare for human editing. GNU gettext There’s a C library gettext that uses .po files. This is much saner solution than XML horror show. .po files are relatively simple text format. The code is already written. Warning: tooting my own horn. My format is better. It’s easier for people to edit, it’s easier to write code to parse it. This looks like many times more than 239 lines of code. Ok, gettext probably does a bit more than my code, but clearly nothing than I need. It also doesn’t solve the 2 hard problems. I would still have to write code to extract strings from source code and build a way to allow users to translate them easily.
