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Repeat the obvious

from Sedimental [alt+shift+b] in programming

Bad things happen when we don't repeat the obvious. --> It's 9pm and I'm writing a post for the company engineering blog. Every sentence is a slog. Not because I'm exacting and conciseness isn't my strong suit. My writing is slow because every word is obvious, almost patronizing. Obvious realities bear repetition, and so must you. Common sense is not so common. The majority of ideas floating around try too hard. They're designed to confuse, seduce, and sell. Press releases and ads push to the forefront, while reviewed articles and texts sit on shelves and in queues. --> Repeat the obvious, so we stay on the same page. The ways we rush people into technology leaves little time for foundations. Software is so new and developers so in-demand, every wave brings more fresh minds than the last. Developers are arriving faster than knowledge can diffuse. Repeat the obvious, to keep perspective. Technology may favor the new, but fundamentals do exist. Without reminders, time buries working technologies in the dust of silence. Repeat the obvious, to avoid bizarre dark ages. Take functional programming's disappearance in the 1990s/2000s, cast aside in favor of object orientated hype. Or that one time when not enough programmers talked about and taught event-driven servers programming and Frankenstein was cast as revolutionary. --> So I hope you'll forgive the repetition. It hurts me more than it hurts you, and believe me when I say it helps many. Documentation does not equal disussion. The modern media landscape demands a technology have both docs and discourse to remain useful. Until we live in a world where reference rules over repetition, you can help by writing about something painfully obvious to you. Bad things happen when we don't repeat the obvious.
9th Nov 2015

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CalVer 26.0: 10th Anniversary Edition

A decade ago, a little bit of history was made. I didn't realize it, but a colleague made a great point, one of those real mind-changing points that seem too obvious to admit same-day. But, the next day, calver.org was born. At the time my team maintained the Python infrastructure for eBay and PayPal, and we were stuck deciding whether we were really ready for a "major" 1.0 release. Semantic Versioning was the only game in town and "major" means "big", right?! Thankfully, a wiser colleague mentioned: Ubuntu and Twisted don't struggle with version number debates. They slap a date on it and keep shipping. In fact, their date-based versions were even better because you always knew where it stood, in terms of updatedness and support. The only problem is that no one really knew about it. Somehow, this problem solving versioning alternative, arguably as old as history itself, had gone nameless for millenia, conspiring to make me feel foolish in an office meeting. Never again! Ten years of adoption Fast forward 10 years, we've seen CalVer adopted by Apple, Nvidia, JetBrains, and countless others. (We have a timeline!) The site may have more inbound links than any other project of mine. Apple made the biggest jump, at WWDC 2025: iOS went from 18 to 26 macOS from 15 to 26 watchOS from 11 to 26 and visionOS from 2 to 26 All landing on one, consistent number like a car's model year. I still remember the texts from the Venn diagram fanbase of my friends who love Apple and reasonable versioning. No such texts from when NVIDIA announced calendar versions across the GPU Operator, RAPIDS, and its monthly NGC containers, but still very cool. Open source, too: Home Assistant, pip, CockroachDB, and yt-dlp all ship on dates, with plenty more on the users page. The conversation even reached the language core; PEP 2026 proposed versioning CPython as 3.YY, and it almost happened, too. And it's never too late, time marches on! Fixing the notation But I don't think I got every detail right from day 1. That's the main motivator for CalVer 26. It's high time to start righting a couple idiosyncratic token design choices, starting with some additions: Meaning Before 26.0 26.0 Full year YYYY YYYY Short year (6, 16) YY YY Zero-padded year (06, 16) 0Y 0Y Short month (1 ... 12) MM M Zero-padded month (01 ... 12) 0M 0M Short week (1 ... 52) WW W Zero-padded week (01 ... 52) 0W 0W Short day (1 ... 31) DD D Zero-padded day (01 ... 31) 0D 0D Seeing double First, the doubled letters. From the first version (16.6), MM and DD meant the unpadded month and day, which reads backwards to anyone who knows date formats (ISO 8601's YYYY-MM-DD, Java, moment.js, day.js), as some community members correctly pointed out. I was ready to flip them, until I checked what people actually use: most projects with a YY.MM.MICRO badge (conda, Twisted, Ansible's tooling) don't pad, and more than a dozen other version management tools (like bumpver and bump-my-version) implement the old meaning. So, it's too late to flip MM's meaning. Instead, 26.0 deprecates it and offers a more explicit and hopefully clearer option: M is the short month, 0M the padded one, and MM is a technically-retired synonym for M. In case you're wondering, the explicit 0M was me being overinspired by Ubuntu's approach, perhaps: 6.06 pads its month but not its year, and YY.0M says exactly that. To pad or not to pad I think it's worth a detour into why padding is even a thing anyways. It's become important now that new ecosystems have emerged that enforced SemVer formatting semantics, and I wanted clear guidance about on the spec site. SemVer forbids leading zeros outright, so Cargo rejects 26.04.0 and Go modules reject v26.04.0. Even Python's packaging spec normalizes leading zeros away, so you can tag 2026.08.19 if you want, but PyPI will still show 2026.8.19. NVIDIA's GPU Operator docs put it this way: "Zero padding is omitted for month to be still compatible with semantic versioning." CalVer was always intended to drop in where SemVer was used. So 26.0 recommends unpadded (YYYY.M.D) as a sane "pure" default for software libraries. But libraries are not the only objects of versioning schemes. The exception is a version that becomes a filename, an image tag, or an object-store key that gets listed lexically. There, padding keeps 26.10 sorted after 26.09, which is why Ubuntu, NixOS, and NVIDIA's own NGC containers pad. More evidence of teams designing their versions. We love to see it. Our FAQ has a longer discussion of the padding issue, as well. Optional segments There was never any rule against them, but 26.0 makes optional trailing segments more explicit with square brackets. Now, yt-dlp's scheme can finally be written down: YYYY.0M.0D[.MICRO]. For the CalVer badges I could find on GitHub, they all stay valid for now. I've got a note on the deprecated spellings and a new copy-paste badge section for new ones. What else is new? It's always a great time to add more citations to the site. A spec changelog; the spec now versions itself: 16.6, 19.7, 26.0. A FAQ: breaking changes, same-day releases, and padding. The users page, rebuilt by category, with past users of note (schemes change; that's fine) and tooling. Case studies: Apple and NVIDIA in, yt-dlp replacing youtube-dl. Much of the thinking behind these changes happened in the GitHub issue tracker over the years, and 19 or so issues close with this release. That's where ideas for CalVer should go, so by all means, open an issue, and we'll get it sorted! In due time, of course. In closing, I can't believe I still love belaboring these numbers so much. Thanks to all (but especially Mark, Glyph, Hugo, issue reporters, translators, and maintainers) for the discussion, and ultimately making the most timely versioning system a timeless classic. See also 2016 announcement Designing a version My Yap on Why CalVer beats Semver

yesterday • 1 votes
Announcing FinFam

In my last post, I mentioned founding a startup. It's called FinFam, and we're building collaborative financial planning. The GitHub of money, if you will. Enough with the telling, time for the show! Here's a 3-minute demo: We launched beta this week and I couldn't be more excited. Let me tell you why. Where's this coming from? Growing up as the son of starving grad students, when it comes to money, I've been known to default to what we affectionately call "poor man brain." Cautious to a fault. But my student parents turned into scientists, so I'm eminently convinceable. I just need to see the math, or better yet, a spreadsheet. The problem? Making those spreadsheets. And more importantly, trusting them. A few years back, a friend was house hunting in the Bay Area. They came to me to talk through the famous rent-vs-buy problem. They didn't want an advisor to manage money or sell them products. They came to me because I worked in fintech and thus "knew money", even though I've only been involved in two home purchases, and wouldn't consider myself an expert. That experience crystallized something I'd been noticing everywhere: People trust their friends and family to have their best interests in mind... But can't trust them to have the best information. We can trust experts to have knowledge... but can't always trust their incentive alignment. In an era of ever-advancing information (and misinformation) glut, how do we get to a place of confidence in our hard-won justified true belief? Trust is social After 15+ years building fintech at PayPal and Stripe, I saw money movement simplified and commoditized. But the difficulty of transacting moved upstream. We made the how of buying easier, while advances in technology made the what, when, and why so much harder. From BNPL to crypto to vibecession, our economic realities aren't getting simpler. To compensate, 79% of young adults get financial guidance from social media (Forbes). Not because TikTok or YouTube has better models than Morgan Stanley, but because they trust the people sharing their stories. Millions of people are already collaborating on financial decisions. Privately on WhatsApp, obscurely on Discord, and full-blown publicly on Reddit: /r/personalfinance - 21 million members /r/financialindependence - 2.3 million /r/financialplanning - 1 million And dozens more subreddits and Internet forums (shoutout Bogleheads and Refinery29's Money Diaries). They're sharing detailed financial profiles with strangers on the internet, seeking advice from generous folks in full view. There's a fast-emerging story about AI here, and I've got whole posts dedicated to that coming soon. For now, suffice to say, we need the tools to catch up to the times. Enter FinFam FinFam[^name] lets families and friends collaborate on financial decisions with each other, using expert information without any commitments to said experts. We want to holistically solve the problem of financial decisionmaking using interaction models proven by GitHub + StackOverflow + app stores. How? First, creators publish interactive models, to FinFam's View marketplace. Then, you, a user who has a financial question or decision to make: Pick up a relevant expert view. If one doesn't exist, ask in FinFam's Q&A board. Plug in your own numbers and save it to a private workspace for your inner circle Discuss the results, with optional AI-assisted guidance as needed Move forward with confidence. We scale the expert knowledge while embracing the fundamentals of human social trust. Users get better decisions and peace of mind. Open-source meets fintech My years of work in open-source and wiki ecosystems showed me the power of collaborative, transparent tools. FinFam brings that same philosophy to personal finance. To further scale the knowledge, we make it possible for anyone to create a View. The View "source" format is XLSX, and can be edited with Google Sheets, Excel, or LibreOffice. Any published View can also be open-sourced. Just like with code, financial models are now reviewable, forkable, and improvable by the community. Curious users can check the community's math. Numbers and discussions happen with people you trust. Everything is private by default, shareable by design. What's next We launched beta this week and there are now daily spots available as we add capacity. You can sign up for early access here. I've been using it with friends and family for months now, and it has replaced Google Sheets for the financial decisions we face. There's so much more I want to share about the vision, the technology, and the journey so far. But this feels like we're off to a good start. Want to follow along? Subscribe to FinFam here and Sedimental here. If you're wondering about the name, just log in, go to your default space, create a thread, and ask Finn. ↩

19th Sep 2025 • 1 votes
What I've been up to in 2025

Been quiet around here. Time to change that! The short version up front: Since starting a family and leaving Stripe, I've pursued the dream that brought me to Silicon Valley. I've founded a startup. After taking some parental leave, helping found a Python non-profit, and a nice long visit back home, I was raring for a challenge. So these days, outside of family, I'm all in on something new. Contents Why now? Applications Monetary misunderstandings Showing vs Telling Why now? I've wanted to start my own business since building Access apps in high school. But, the reality of leaving my family and moving to study in the USA, combined with the technical and creative fulfillment of the software industry, took me on a scenic route through enterprise software, free culture, and open-source. That very same reality has since conspired to convince me to return to my original aspirations. I've lived through some exciting times in software, but nothing like now. This isn't something I imagined I'd be working on 10 years ago, but then again it's not something I thought possible even 3 years ago. What better time to be building and launching my most ambitious project ever? Full details on that are coming soon1. For now, here is a post about why. Applications To start my career, I worked on software infrastructure, security, observability, and developer productivity. But after eight years, around 2016, I started longing for something more human. You can see this start to come out in The Packaging Gradient. At a time where it seemed like everyone around me was talking about pip, pipenv, and PyPI, I couldn't help but remind people that the real end goal of software has always been the application (or even the appliance). This impulse came to a head with APA. Perhaps you, dear reader, have also been "lost in the sauce" of software: When you love computers and it dominates your thoughts, you might also spend most of your time thinking about the software that makes the software possible. Don't get me wrong. Languages, libraries, compilers, devtools, we need every bit of help we can get. But I fell in love with software for its potential to effect change in the world writ large. I started eyeing product. The famous full stack. That meant moving on from big tech, to a big startup, to a seed startup. One pandemic-fueled detour through a startup factory later, here we are. Finally, founding the startup. My own full stack. Monetary misunderstandings My 15+ year software engineering career can be summed up as: Building fintech software for pay Shipping open-source Python/wiki for free Professionally enabling commerce while avoiding it in my personal time. I was young and conflicted. Truthfully, I still harbor some reservations, but I have to build what I know. I know about software and money. "Money is the root of all evil." If you look at the state of say, open banking in the USA, or web3isgoinggreat, or just read Money Stuff, you probably agree something's off. Money changes people. But so does the lack thereof. I've watched more talented and deserving developers than myself befall a variety of fates. Hollowed out by monetary excess, blinded by greed, burned out by FOSS, literally working Doordash to keep the lights on. Dropping out of software completely. Shunning the world's favorite fungible has bad outcomes for individuals. Bless my friends at Tidelift, OSTIF, and other orgs working to sustain the maintainers. Paying maintainers is a worthy battle. We just need to open more fronts to navigate what's in store. Showing vs Telling Lately I've been thinking a lot about my favorite David Lynch (RIP) scene. It isn't from one of his films, it's this quote: "The film is the talking." I think it perfectly captures the auteur mindset. Words are extraneous. The consummate creative expresses themselves better in their native medium. Not that I mind words as a medium. After years of blogging and speaking, I've grown confident in my ability to tell. But now it's time for the show. For friends who can't wait a couple weeks, shoot me an email for early access. ↩

25th Aug 2025 • 1 votes
Intentional Creation

Reliably tap into your creativity with the 4 Cs: Consume, critique, curate, create. This is one of my oldest ideas, finally published on the GitHub ReadME Project blog, along with a profile, in June 2022. For more like this, follow me on Twitter or Mastodon. (You can also read it in 中文 here. Thanks Dominic Huang!) We all have creative potential. Whether it gets you up in the morning or keeps you up at night, you've felt its gnaw. Turning that potential into productivity can prove challenging in an internet-connected environment that offers a constant stream of consumables. How do we pick a direction? In this guide, you'll see how to distill the elements of creativity into four deliberate stages, and how to put the process to use: Contents Consume Critique Curate Create Debugging the process Putting it into practice These 4 Cs comprise a straightforward, adaptable approach that works well in both group and solo settings. You've already started on step 1. Read on to find out what to do next. Consume Step 1: Turn passive consumption into active research. From the moment you open your eyes in the morning, you're accosted with calls to consume. Articles, videos, podcasts, the newest Wordle variant. When consumption is the default mode of our modern computing environment, how is a builder supposed to build? To create, we must first recognize its inverse: consumption. Consumption is a useful stage, but can be dangerous if it’s terminal. An infinite loop in this stage kills any chance of creation. Little is created in a vacuum. Creation still starts with consumption, albeit consumption disarmed with an intention. Turn pure consumption into active research, punctuated with critique. Critique Step 2: Capture your reactions in critiques, and research no faster than you can react. As with so many software problems of our day, the answer is simple: React. No, not the JavaScript framework, but the human act of reaction. Intentional creation starts with giving yourself pause on new inputs. Seek a reaction from yourself. A semi-structured reaction, or critique, is a time-honored practice in creative fields, like architecture. Infinite scroll may prove challenging to overcome, but before turning your consideration to the next item in your feed, activate your critical senses. Draw some conclusions. Even unvetted, they're yours. If you're finding it hard to summon a critique, this is a clear sign you're consuming faster than you can reflect. If you're not reflecting, you're not learning. You may need to go deeper on individual items, or just take a break. Your critiques have never been easier to capture, whether typed in markdown, dictated to automatic transcription, or written down in a notepad on your desk. Try opening your editor or critique tool before opening any new resources. Feel free to open one now. If you're not reflecting, you're not learning. Curate Step 3: Curate critiques into collections that act as reservoirs of creative reference. Critiques are only proto-creative output. Writing anything helps prime the creative pump, but criticism is raw reaction. You want a refined synthesis. Once you've got enough critiques under your belt, curate the positive examples into a collection. From interior designers to lab researchers to club DJs, creators recognize the value of a structured, referenceable collection. Sometimes a situation calls for urgency or direction, and an organized, well-researched collection can offer an existing solution. Sometimes, in the context of a comprehensive collection, the lack of a referenceable solution is itself a signal that it's time to invent. Curated collections become artifacts unto themselves. I've helped create a few, including 0ver.org, seealso.org, and the Awesome Python Applications list. There’s more awesome out there beyond Awesome Lists, like explorabl.es, the Cooperpress newsletters, or the “swipe file” phenomenon used among designers and content creators. There's respectable work in curation. Still, curation is more important as a stepping stone to our original higher calling. Less is more. Create Step 4: Return to your curations regularly to discover your creative path forward. Collections of a certain size tend to produce interesting findings. Patterns and gaps emerge that inspire creative next steps. As an example, while researching approaches to Python packaging, a pattern emerged that led to one of my most popular concepts/blog posts/talks, The Packaging Gradient. Whole projects can be born out of connections made with collections. My framework Clastic, which was eventually used by teams at PayPal and Wiki Loves Monuments, came out of the curated combination of pytest dependency-injection semantics with werkzeug primitives. Realistically, the majority of creation happens below the threshold of standalone artifacts. For instance, when adding a feature to an existing system, a parallel approach in a different project serves as a useful guide. I've lost track of the number of times I've swiped techniques from Awesome Python Applications, including ones used to port my dayjob's 300k SLOC codebase from Python 2 to 3. Most creative outputs have a similar lineage. Only now we have an explicit process. Debugging the process It's easy to see creations we appreciate as towering achievements that sprung fully-formed from their creators' genius. But creation comes in fits and starts. If creation comes slowly, here are a few strategies to consider: Search for a natural split in an existing collection that's getting too big, and explore what makes it interesting. Revisit an old, contentious critique and re-react. What did you get right/wrong? Pick a particular exemplar and turn it into a case study. One beautiful aspect of FOSS projects is that going deep can mean getting involved. There's nothing like proximity to a problem to inspire creative thinking. More generally, be wary of one-size-fits-all solutions; while prescriptive techniques such as the Zettelkasten Method may work for some, creation is idiosyncratic. Embrace your own process. Putting it into practice When inspiration hits, connections can form so quickly that we take for granted what goes on. When inspiration proves less willing to strike, we can keep ourselves primed for creativity by ensuring all four activities continue in balance. There are a few notable benefits of intentional creation: When you've built something, the influences are well-documented. It can be easier to involve others when there's a clear creative thread to pull on. Sharing your critiques and curations invites collaboration with other creators and curators. Self-awareness. If you're not finding your critiques crystallizing into new thoughts and ideas for projects, that's a sign you're looking at the wrong stuff. Are you following your interests or passively consuming trending content? Practically, intentional creation means consciously spending less time on consumer sites, from Twitter to Hacker News, and more time taking notes, tagging bookmarks, and creating your own knowledge base. Attempt activities that are less entertainment and more you, ultimately closing the gap between you and your creative goals. If it sounds too simple, that's because it is. You're still accountable to you, that's the hard part. But hopefully you'll find some value in this simple hierarchy that lets you check in on your own activities and make adjustments toward a more creative end. Spend less time consuming, and more time on the other three Cs. Consume only enough to allow yourself to critique, curate, and create. If you made it this far, then start now. Step 2. Use any tool or service you like, from spreadsheets to YAML, and answer this: What's your critique?

4th Jan 2023 • 1 votes
Changing the Tires on a Moving Codebase

2020 was a year of reckonings. And for all that was beyond one’s control, as the year went on, I found myself pouring more and more into the one thing that felt within reach: futureproofing of the large enterprise web application I helped build, SimpleLegal. Now complete, this replatforming easily ranks in my most complex projects, and right now, holds the top spot for the happiest ending. That happiness comes at a cost, but with some the right approach that cost may not be as high as you think. Contents The Bottom Line The Setup The Outset The Traction Issues The Sentry Pivot The New Road Committing to transactions The truly atomic request Transactional test setup Better than best practices The utility of namespaces Coverage tools Flattening database migrations Easing onto the stack The Rollout The Aftermath The Bottom Line We took SimpleLegal’s primary product, a 300,000 line Django-1.11-Python 2.7-Redis-Postgres-10 codebase, to a Django 2.2-Python 3.8-Postgres-12 stack, on-schedule and without major site incidents. And it feels amazing. Speaking as tech lead on the project, what did it look like? For me, something like this: But as Director of Engineering, what did it cost? 3.5 dev years and just about $2 per line of code. And I'm especially proud of that result, because along the way, we also substantially improved the speed and reliability of both the site and development process itself. The product now has a bright future ahead, ready to shine in sales RFPs and compliance questionnaires. Most importantly, there’ll be no worrying about when to delicately break it to a candidate that they’ll be working with unsupported technology. In short, a large, solid investment that’s already paying for itself. If you just came here for the estimate we wish we had, you've got it. This post is all about how your team can achieve the same result, if not better. The Setup The story begins in 2013, when a freshly YC-incubated SimpleLegal made all the right decisions for a new SaaS LegalTech company: Python, Django, Postgres, Redis. In classic startup fashion, features came first, unless technology was a blocker. Packages were only upgraded incidentally. By 2019, the end of this technical runway had drawn near. While Python 2 may be getting extended support from various vendors, there were precious few volunteers in sight to do Django 1 CVE patches in 2021. A web framework’s a riskier attack surface, so we finally had our compliance forcing function, and it was time to pay off our tech debt. The Outset So began our Tech Refresh replatforming initiative, in Q4 2019. The goal: Upgrade the stack while still shipping features, like changing the tires of a moving car. We wanted to do it carefully, and that would take time. Here are some helpful ground rules for long-running projects: Any project that gets worked on 10+ hours per week deserves a 30-minute weekly sync. Every recurring meeting deserves a log. Put it in the invite. Use that Project Log to record progress, blockers, and decisions. It’s a marathon, not a sprint. Avoid relying on working nights, weekends, and holidays. We started with a sketch of a plan that, generously interpreted, ended up being about halfway correct. Some early guesses that turned into successes: Move to pip-tools and unpin dependencies based on extensive changelog analysis. Identify packages without py23 compatible versions. (Though we’ve since moved to poetry.) Add line coverage reporting to CI Revamp internal testing framework to allow devs to quickly write tests More on these below. Other plans weren’t so realistic: Take our CI from ~60% to 95% line coverage in 6 months Parallelized conversion of app packages over the course of 3 months Use low traffic times around USA holidays (Thanksgiving, Christmas, New Years) to gradually roll onto the new app before 2021. We were young! As naïve as we were, at least we knew it would be a lot of work. To help shoulder the burden, we scouted, hired, and trained three dedicated off-shore developers. The Traction Issues Even with added developers, by mid-2020 it was becoming obvious we were dreaming about 95% coverage, let alone 100%. Total coverage may be best practice, but 3.5 developers couldn’t cover enough ground. We were getting valuable tests, and even finding old bugs, but if we stuck with the letter of the plan, Django 2 would end up being a 2022 project. At 70%, we decided it was time to pivot. We realized that CI is more sensitive than most users for most of the site. So we focused in on testing the highest impact code. What’s high-impact? 1) the code that fails most visibly and 2) the code that’s hardest to retry. You can build an inventory of high-impact code in under a week by looking at traffic stats, batch job schedules, and asking your support staff. Around 80% of the codebase falls outside that high-traffic/high-impact list. What to do about that 80%? Lean in on error detection and fast time-to-fix. The Sentry Pivot One nice thing about startup life is that it’s easy to try new tools. One practice we’ve embraced at SimpleLegal is to reserve every 5th week for developers to work on the development process itself, like a coordinated 20% time. Even the best chef can’t cook five-star food in a messy kitchen. This was our way of cleaning up the shop and ultimately speeding up the ship. During one such period, someone had the genius idea to add dedicated error reporting to the system, using Sentry. Within a day or two, we had a site you could visit and get stack traces. It was pretty magical, and it wasn’t until Tech Refresh that we realized that while integration takes one dev-day, full adoption can take a team months. You see, adding Sentry to a mature-but-fast-moving system means one thing: noise. Our live site was erroring all the time. Most errors weren’t visible or didn’t block users, who in some cases had quietly learned to work around longstanding site quirks. Pretty quickly, our developers learned to treat Sentry as a repository of debugging information. A Sentry event on its own wasn’t something to be taken seriously in 2019. That changed in 2020, with the team responsible for delivering a seamless replatform needing Sentry to be something else: a responsive site quality tool. How did we get there? First step, enhance the data flowing into Sentry by following these best practices: Split up your products into separate Sentry projects. This includes your frontend and backend. Tag your releases. Don’t tag dev env deployments with the branch, it clutters up the Releases UI. Add a separate branch tag for searches. Split up your environments. This is critical for directing alerts. Our Sentry client environment is configured by domain conventions and Django’s sites framework. If it helps, here's a baseline, we use these environments: Production: Current official release. DevOps monitored. Sandbox: Current official release (some companies do next release). Used by customers to test changes. DevOps monitored. Demo/Sales: Previous official release. Mostly internal traffic, but external visibility at prospect demo time. DevOps monitored. Canary: Next official release. Otherwise known as staging. Internal traffic. Dev monitored. ProdQA: Current official release. Used internally to reproduce support issues. Dev monitored. QA: Dev branches, dev release, internal traffic. Unmonitored debugging data. Local test/CI: Not published to Sentry by default. With issues finally properly tagged and searchable, we used Sentry’s new Discover tool to export issues weekly, and prioritize legacy errors. To start, we focused on high-visibility production errors with non-internal human users. Our specific query: has:user !transaction:/api/* event.type:error !user.username:*@simplelegal.* We triaged into 4 categories: Quick fix (minor bug), Quick error (turn an opaque 500 error into a actionable 400 of some form), Spike (larger bug, requires research), and Silence (using Sentry’s ignore feature). Over 6 weeks we went from over 2500 weekly events down to less than 500. Further efforts have gotten us under 100 events per week, spread across a handful of issues, which is more than manageable for even a lean team. While "Sentry Zero" remains the ideal, we achieved and maintained the real goal of a responsive flow, in large part thanks to the Slack integration. Our team no longer hears about server errors from our Support team. In fact, these days, we let them know when a client is having trouble and we’ve got a ticket underway. And it really is important to develop close ties with your support team. Embedded in our strategy above was that CI is much more sensitive than a real user. While perfection is tempting, it’s not unrealistic to ask a bit of patience from an enterprise user, provided your support team is prepared. Sync with them weekly so surprise is minimized. If they’re feeling ambitious, you can teach them some Sentry basics, too. The New Road With noise virtually eliminated, we were ready to move fast. While the lean-in on fast-fixing Sentry issues was necessary, a strong reactive game is only useful if there are proactive changes being pushed. Here are some highlights we learned when making those changes: Committing to transactions Used properly, rollbacks can make it like errors never happened, the perfect complement to a fast-fix strategy. The truly atomic request Get as much as possible into the transactions. Turn on ATOMIC_REQUESTS, if you haven’t already. Some requests do more than change the database, though, like sending notifications and enqueuing background tasks. At SimpleLegal, we rearchitected to defer all side effects (except logging) until a successful response was being returned. Middleware can help, but mainly we achieved this by getting rid of our Redis queue, and switching to a PostgreSQL-backed task queue/broker. This arrangement ensures that if an error occurs, the transaction is rolled back, no tasks are enqueued, and the user gets a clean failure. We spot the breakage in Sentry, toggle over to the old site to unblock, and their next retry succeeds. Transactional test setup Transactionality also proved key to our testing strategy. SimpleLegal had long outgrown Django’s primitive fixture system. Most tests required complex Python to set up, making tests slow to write and slow to run. To speed up both writing and running, we wrapped the whole test session in a transaction, then, before any test cases run, we set up exemplary base states. Test cases used these base states as fixtures, and rolled back to the base state after every test case. See this conftest.py excerpt for details. Better than best practices Software scenarios vary so widely, there’s an art to knowing which advice isn’t for you. Here’s an assortment of cul de sacs we learned about firsthand. The utility of namespaces Given how code is divided into modules, packages, Django apps, etc., it may be tempting to treat those as units of work. Don’t start there. Code divisions can be pretty arbitrary, and it’s hard to know when you’ve pulled on a risky thread. Assuming there are automated refactorings, as in a 2to3 conversion, start by porting by type of transformation. That way, one need only review a command and a list of paths affected. Plus, automated fixes necessarily follow a pattern, meaning more people can fix bugs arising from the refactor. Coverage tools Coverage was a mixed bag for us. Obviously our coverage-first strategy wasn’t tenable, but it was still useful for prioritization and status checks. On a per-change basis, we found coverage tools to be somewhat unreliable. We never got to the bottom of why coverage acted nondeterministically, and we left the conclusion at, “off-the-shelf tools like codecov are probably not targeted at monorepos of our scale.” In running into coverage walls, we ended up exploring many other interpretations of coverage. For us, much higher-priority than line coverage were “route coverage” (i.e., every URL has at least one integration test) and “model repr coverage” (i.e., every model object had a useful text representation, useful for debugging in Sentry). With more time, we would have liked to build tools around those, and even around online-profiling based coverage statistics, to prioritize the highest traffic lines, not just the highest traffic routes. If you’ve heard of approaches to these ends, we’d love to discuss them with you. Flattening database migrations On the surface, reducing the number of files we needed to upgrade seems logical. Turns out, flattening migrations is a low-payoff strategy to get rid of files. Changing historical migration file structure complicated our rollout, while upgrading migrations we didn’t flatten was straightforward. Not to mention, if you just wanted the CI speedup, you can take the same page from the Open EdX Platform that we did: build a base DB cache that you check in every couple months. Turns out, you can learn a lot from open-source applications. Easing onto the stack If you have more than one application, use the smaller, simpler application to pilot changes. We were lucky enough to have a separate app whose tests ran faster, making for a tighter development loop we coul learn from. Likewise, if you have more than one production environment, start rollouts with the one with the least impact. Clone your CI jobs for the new stack, too. They’ll all fail, but resist the urge to mark them as optional. Instead, build a single-file inventory of all tests and their current testing state. We built a small extension for our test runner, pytest, which bulk skipped tests based on a status inventory file. Then, ratchet: unskip and fix a test, update the file, check that tests pass, and repeat. Much more convenient and scannable than pytest mark decorators spread throughout the codebase. See this conftest.py excerpt for details. The Rollout In Q4 2020, we doubled up on infrastructure to run the old and new sites in parallel, backed by the same database. We got into a loop of enabling traffic to the new stack, building a queue of Sentry issues to fix, and switching it back off, while tracking the time. After around 120 hours of new stack, strategically spread around the clock and week, enough organizational confidence had been built that we could leave the site on during our most critical hours: Mondays and Tuesdays at the beginning of the month. The sole hiccup was an AWS outage Thanksgiving week. At this point we were ahead of schedule, and enough confidence had been built in our fast-fix workflow that we didn’t need our original holiday testing windows. And for that, many thanks were given. We kept at the fast-fix crank until we were done. Done isn't when the new system has no errors, it's when traffic on the new system has fewer events than the old system. Then, fix forward, and start scheduling time to delete the scaffolding. The Aftermath So, once you’re on current LTS versions of Django, Python, Linux, and Postgres, job complete, right? Thankfully, tech debt never quite hits 0. While updating and replacing core technologies on a schedule is no small feat, replacing a rusty part with a shiny one doesn’t change a design. Architectural tech debt -- mistakes in abstractions, including the lack thereof -- can present an even greater challenge. Solutions to those problems don’t generalize between projects as cleanly, but they do benefit from up-to-date and error-free foundations. For all the projects looking to add tread to their technical tires, we hope this retrospective helps you confidently and pragmatically retrofit your stack for years to come. Finally, big thanks to Uvik for the talent connection, and the talent: Yaroslav, Serhii, and Oleh. Shoutouts to Kurt, Justin, and Chris, my fellow leads. And the cheers to business leadership at SimpleLegal and everywhere, for seeing the value in maintainability.

10th Mar 2021 • 1 votes

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Writing a Demoscene Intro for the ZX Spectrum

Download Now View on pouet.net Intro In the late 80s, I spent an embarrassing number of hours hunched over my ZX Spectrum, typing in Sinclair BASIC programs and rudimentary assembler routines copied from magazines, trying to re-create the Amiga crack intros I’d seen round at a friend’s house. Obviously, they never came even slightly close - but now, many decades later, I’ve finally managed it! I’m now the proud author of a hand-rolled retro demoscene intro that runs on a stock 128Kb Spectrum. It features all those late 80s tropes: A smooth scrolltext (with ‘leet custom fonts!), a three-channel AY soundtrack, bouncing VU meters and the essential parallax starfield. It’s currently 10287 bytes of code, or 19552 bytes as a complete tape image - which, given I’ve been working on this since December 13th last year, means my average rate of code-production is a paltry ~ 455 bytes per week! This blog post is a technical overview of how I got there, some cool tricks I picked up, and everything I had to learn (and re-learn) about the Speccy and Z80 assembly along the way. It simultaneously rates as one of my favourite side-projects ever, and also the one that most often nearly triggered a foot put through my monitor in frustration. I’ll reflect on all that at the end, but for now if you just want to see the finished product, the download button is at the top of the article and the included .tap cassette tape image should load into any emulator. There’s also a YouTube capture, links to the production on pouet.net, and you can run it from within a web browser by visiting my TNFS site portal - check option 4 for recent uploads. Be Kind, Rewind But let’s skip back briefly to the late 80s. Coming from the world of an 8-bit, cassette tape loading computer, seeing an Amiga for the first time was like encountering something from outer space. Like everyone who saw one back in the day, I was blown away by the amazing graphics and sound on display, not to mention the library of ground-breaking games. But I found myself even more captivated by the mysterious (and totally badass) “intros” displayed at the beginning of pirated games. Created by the software piracy groups that had cracked the copy protection and distributed the floppy-disk based games, they were mini works of art in their own right - music, graphics and usually some cool-looking effect to show off the group’s prowess. There’s a great collection of these intros (or “cracktros”) archived on YouTube. Watch a few of those videos and you’ll quickly notice the “design” tropes that almost every cracktro shares: a cool, edgy logo at the top of the screen (bonus points if it’s dripping blood or in any way “metal”), some boastful text displayed on top of an effect of some sort - usually a scrolling parallax starfield, or rotating 3d object - and a further scroll-text full of shout outs, greetings to fellow pseudonymous crackers and adverts for illegal BBS systems galore. Needless to say, to a kid in the 80s/early 90s this was possibly the coolest thing ever. I thought this one was the absolute bomb when I first saw it. Sine-scroller, pirate BBS adverts, cool logo with a sword - and of course, a starfield. There’s something for everyone here. The music from this is burned into my brain. I think pretty much everyone of my classmates knew this intro given the popularity of Lemmings in the early 90s. Skid Row as a group are still active to this day and this is probably the quintessential Amiga cracktro of the period. Endless Piracy. Edgy. Another cool logo, sine-wave scroller, starfield and boasting text. The classics never go out of style. Another great combination of all the essential ingredients. Cool logo, even cooler text font, scrolling starfield and a scroll-text running along the bottom. Vintage stuff. Logo. Text. Scroller. But no starfield - otherwise a solid effort from Anthrox here :) The demoscene grew out of these intros. The cracking eventually faded into the background, and coders, “graphicians” and musicians all contributed to feature-length productions that showcased their abilities, competed with other groups and pushed the machine to its limits. In amazing feats of ingenuity and pure “code as an art form”, the scene lives on today, with groups producing breathtaking productions like this and this - bear in mind, both of those are running on a 7Mhz home computer equipped with a floppy disk, 1Mb of memory and a sound chip from 1985. But much as I admire the sheer skill and dedication that takes, it’s the early “single screen” scrolly-text-and-starfield cracktros I’ve always found captivating. They took on a sort of mystical quality for me, hinting at a scene and a culture I could only ever experience from the outside - which is exactly why I spent all those hours in Sinclair BASIC, trying in vain to re-create them, and dreaming of the day I’d eventually have an Amiga of my own. The Jump Back I eventually did trade up to a range of Amiga systems, joined a few “scene” groups myself and threw myself into a variety of activities until exams and the end of my teenage years beckoned. I dabbled with Z80 code back then, and at one point knew enough 68k assembly to bluff my way through - partly from the Amiga’s heyday, partly from a few “embedded systems” modules at University where I had to program a set of traffic lights or lift-controllers. Given there’s not much call for that sort of thing at my $DAYJOB, though, it had all pretty much faded from my memory. I have kept working on a bunch of projects in my spare time, and one of my favourites is my TNFS site - sort of an old-school BBS system or interactive “website” for the Spectrum, which grew out of a fun experiment to see how far I could push Sinclair BASIC. It relies on a modern network card fitted to the Spectrum, which is how I came to be chatting to “Desertkun”, another TNFS-protocol enthusiast. He’s now producing a great new WiFi network card for the Speccy, and was kind enough to send me a few of the prototypes to test out for him. I was massively inspired by his hardware and low-level coding chops, and during one of our video calls where we’d been comparing our development setups, he asked why I didn’t write any Z80 assembly myself. A throw-away comment, but the challenge was set! Now, I couldn’t face re-writing the whole site in asm, but I figured I could produce a self-contained intro to promote it in the style of the early “BBStros”, and finally be one of the cool kids with a scene production of my own :) I mean, how hard could it be ? (ooooh - foreshadowing!) Dev Environment My development environment through this was pretty straightforward, and is the same stack I use for developing my TNFS site. I just used a Makefile-driven build system which ran my code through the Pasmo assembler, my fork of zmakebas to build BASIC files, and the FUSE emulator for testing. For final testing on the real hardware, I uploaded my .tap files to my local TNFS server where I could run them on my +3. A few additional tools I have to call out because they ended up making a big difference - one is the amazing web-based “asm-editor” I discovered while looking up Z80 instructions. Not only does this site have a great reference of all the Z80 instructions, but it also has an editor where you can run example code and see how the memory and/or various registers change state. Take for example, the djnz instruction - you can build it and step through the example loop construct one instruction at a time. Or try my example of an add instruction in the screenshot to see how the carry flag works when a bit gets shifted out of a register. Although it uses a slightly different syntax to Pasmo (so I couldn’t drop my code directly in it), it massively helped when manually stepping through things. And lastly, probably the most significant debugging tools I used on this project - a notepad and pen, and my two dogs (say “Hi!” to Biscuit & Pebble…) I’ll write some more about this in the wrap-up, but this really was a highly unusual project for me, coming from decades of much higher-level languages and constructs. Most of my z80 code I only ever really understood after drawing out the bytes and bitmasks, keeping a table of register flags and drawing chunks of screen memory out by hand. And I found my evening walks with the two dogs provided ideal rubber duck exercises, although I’m not sure what they both made of my protracted mutterings about the hl register pair. Either way, debugging-by-dog is highly recommended! The Starting Point So, let’s get started. I followed a great “Hello, world!” example from futurice.com to validate my build environment. Beyond that, the first thing I wanted to do was load in my logo and background image I’d use as a “stage” for the remainder of the planned intro. I wasn’t really sure what I was going to do at this point, just that I wanted my logo at the top, and a scrolltext along the bottom row of the screen. As my TNFS site header already looked kinda demoscene-y, I made a quick edit putting in place two blue guide-bars inside which I’d put further content. Memory map courtesy of breakintoprogram.co.uk A Spectrum SCREEN$ file (usually displayed as loading screens) is just a dump of screen memory, starting from byte 16384, and running for 6912 bytes. The weird layout of this is very relevant later, but in order to display it all you need to do is load your file into that memory location. After a few hour’s work of reviewing Speccy internals and following various guides, I had a very simple starting point for my demo that served as the basis for everything else that came after. org $8000 screen EQU $4000 ; address of the first byte of screen memory, 16384 in dec scrlen EQU 6912 ; total length of the screen memory inc. attributes ula EQU $FE ; I/O port for the ULA to control the border black EQU 0 ; Spectrum colour number, the exact same ones BASIC uses start: ld a,black ; Set the border colour to black using the ULA out (ula),a ; Copy my logo header picture to screen memory ld hl,header ; HL = location of my screen file in this code ld de,screen ; DE = start of screen memory ld bc,scrlen ; BC = 6912 bytes to copy ldir ; block copy, see https://jnz.dk/z80/ldir.html ; busy loop - rest of intro goes here :P hold: halt ; sleep until the next interrupt (1/50 second) jr hold ; then jump back and sleep again, for ever header: incbin "assets/header.scr" ; my logo header/background end start Not much to look at now, but this simple starting point introduced me to important concepts like interfacing with the Spectrum’s hardware (ULA chip to start with, and AY sound chip later) via the out instruction, how to pull in binary files using Pasmo’s INCBIN directive, using the Z80’s block copy ldir instruction, the use of register pairs for 16-bit addressing, and simple branching to labels. Hello World The next step was to print something on the screen and explore some of the Speccy’s built-in ROM routines, which are somewhat analagous to syscalls on modern operating systems. There are plenty of disassemblies and guides to the Spectrum ROM available on the internet, one of the best commented and linked one is at https://skoolkid.github.io/rom/. Using this as a reference alongside the various “Hello, world!” tutorials showed me how this sort of thing is built up: at EQU 22 ; "at" control character used to position the cursor row EQU 11 ; coordinates where to print the message col EQU 9 prstring EQU $203C ; where the pr_string routine lives in ROM ld de,msg ; DE = address of the first character ld bc,msglen ; BC = how many characters to print call prstring ; print the lot ; busy loop is the same... msg: db at,row,col ; equivalent of "PRINT AT 11,9" in BASIC db "Hello, world!" msglen EQU $-msg ; 16 bytes in all, pasmo shortcut, $=program counter I ended up mostly not using the ROM routines in my code as they dragged in all sorts of things I didn’t need, but it was massively useful to understand how they worked as they introduced me to yet more commonly-used constructs. For example, the PR_STRING routine defined here shows how you can build a loop over each character. If you’re just starting out, I highly recommend going over the 8 lines in that routine with a notepad and pen, working out the contents of the registers and following the loop constructs. I also made a version of it in asm-editor you can try. If you click that link, you’ll see a version of the code loaded into the web editor. Click “Build”, and then step through the code using the “Step” button - although no text will be actually displayed (I skipped over the call to the Spectrum ROM “restart” vector that does this), you’ll see the various states of the registers and for example the BC register counting down as each byte of the string is processed. Adding Some Style Problem is, the Speccy’s built-in font is not exactly dripping with demoscene credibility. I wanted to use some stylish fonts and this turned out to be super easy - a quick search turned up Jim Blimey’s awesome font collection, which included a ready-to-use set of assembler files and some instructions which soon led me to these additions in my code: ; CHARS is the address the ROM's printing routine reads to find the font. ; Picking our own font is simply a matter of over-writing this chars EQU $5C36 ; from Jim's docs - POKE 23607=5C36 in hex ld hl,myfont-256 ; HL = font address - 256 as per docs ld (chars),hl ; from now on the ROM draws with it! ; rest of code is the same myfont: include "textfont.asm" ; "Cartoon" font from jimblimey.com There we go! Now that’s looking a little more elite. Sorry, I mean 31337. Strap in folks, we’re leaving lamer city… So at this point, a month or so in to my dabblings and I’d started to get a reasonable understanding of common idioms and was starting to feel like this was a project that might actually go somewhere. The problem started when I moved on to trying to implement actual demo effects: It became very apparent, very quickly, just how much I didn’t know about how this all worked. Not to mention the fact that at this level, you’re really closely exposed to the physical hardware intricacies, including the design decisions and trade-offs that the hardware designers had to make when working with the extremely limited specs of the early 1980s. Cursed Screen Layout The first such problem - and the cause of probably 90% of my pain - is the Speccy’s extremely weird screen layout. Rather than standard bitmapped display you might expect on more modern hardware, it is instead split into 3 sections, each with a set of interleaved rows (so if you keep adding 1 to a screen address, eventually instead of reaching the next row, you’ll instead end up 8 rows down, and so on until you hit the bottom of the section and then loop back to the row underneath where you started!) followed by a block of “attribute” bytes which determine the colours of each 8x8 block. The attribute blocks are the reason why each 8x8 character cell can only have two colours (a PAPER and INK attribute) which led to the garish “colour-clash” of spectrum games and distinctive style where artists try to keep inside 8x8 blocks as much as possible. But it was the layout of the bitmap portion that is such a mind twister. Download the video You can see this illustrated whenever a game reads in a loading screen from tape. You can see each section built up with the interleaved rows one at a time, and then finally the colour and other attributes (like flashing ). There’s a lot of detail at the fantastic Break Into Program site. In the defense of the designers, they were working with extremely limited hardware and I don’t think the Speccy was ever imagined as a games machine. When you start shuffling bytes around, you realise that this approach is really optimised for displaying text which is neatly arranged into 8x8 character boundaries. For example, using this “scrambled” bit order, if you have a screen address in the hl register pair, you can quickly get to the next pixel line of a given address by simply incrementing the “high” byte. There’s a bunch of other “cheap moves” you can make by simply shifting bits around: Move Instruction Right 8 pixels inc l Left 8 pixels dec l Down 1 pixel line inc h Up 1 pixel line dec h Down 1 character row add 32 to l It was a reasonable choice for a machine that would probably spend a lot of it’s time displaying BASIC program listings - it’s only when you start trying to write demo or sprite routines that it starts to feel really weird. This also means you’ll pretty quickly need a routine to convert X,Y addresses to the relevant memory addresses. Again, L Break Into Program has a useful routine and if you disassemble more or less any spectrum game or demo, you’ll find a version of this procedure somewhere. And yes, this all became horribly relevant later on… The Scroller Download the video Admittedly, not the most interesting demonstration - but this was the first time I had made something move on the Spectrum’s screen with assembly! I watched this with pride more times than I care to admit :) I had a snazzy logo and “Hello World” text, but that doesn’t make for a very interesting intro! The first effect I wanted was the scrolltext - without that, it’s not really an intro. Now, the Amiga had all kinds of hardware sprites, blitter operations, custom chips but the Spectrum had none of that. I was going to have to work out how to do things the hard way - “banging on the metal”, literally by shifting bits around the screen memory by hand and having the CPU do all the work. This is where understanding the Speccy’s weird screen and character cell layout is so important. It turns out there’s a neat trick as long as I stay inside one character row - there’s a RL instruction, which takes a byte and “rotates” it left. It inserts whatever is in the carry flag into the rightmost bit, and whatever gets shifted out ends up in the carry bit again. That means if you string a bunch of them together, you can move a set of pixels across the screen - the moment they “fall off” one character cell, they end up in the carry flag and then the next rl instruction inserts them at the beginning of the next character cell to the left. Repeat 32 times, and you’ve just moved a pixel (or set of pixels) across a line of the screen: linestart EQU $4880 ; leftmost byte of the line 12 rows down lineend EQU linestart+31 ; rightmost byte column ($489F) linelen EQU 32 ; one whole line is 32 bytes (character cells) across dot EQU %00000001 ; the dot "shape", just one pixel lit at the far right end newdot: ld a,dot ; load the dot shape (only rightmost pixel lit) into a ld (lineend),a ; store it in the rightmost byte of the line, pixel is now lit frame: halt ; wait for the next frame, otherwise it whizzes across too fast to see ld hl,lineend ; hl = last (rightmost) byte of the line ld b,linelen ; loop counter, 32 bytes to work through or a ; trick to clear the carry flag, or against itself leaves a register ; unchanged but clears various bits including the carry flag ; see https://jnz.dk/z80/or_r.html shift: rl (hl) ; rotate this byte left (00000001 -> 00000010) dec hl ; point hl at the next byte to the left djnz shift ; loop construct: b=b-1 and then jump back to shift label until b=0 jr c,newdot ; now we've shifted the whole line, so if the carry flag is set now it means ; the dot has just left the screen, so we jump back to the start jr frame ; otherwise it is still somewhere on the screen, so keep shifting! Download the video Hell yeah. It’s almost a proper scrolltext now! Wrapping this in another loop that increments h each time (remember - that gets us moving down a scanline) gets us moving an entire character cell. Here you can see it moving an entire row of my “Hello world” message. There was however a lot more work needed to make a proper scrolltext, with each letter appearing smoothly. I started off by just printing an entire character at a time on the right-hand edge of the screen - it worked, but was pretty ugly as you saw each new character appear at once in the right-hand side of the screen, scrolling 8 pixels over and then the next character flashed up. Instead, I wanted to make each character appear pixel by pixel and that required a bit more bit juggling. The routine I ended up with effectively streams each character in, line by line, pixel by pixel using the font data directly instead of calling the ROM print character routine. It does this by looking up the ASCII code for a character, and then fetching the corresponding font representation into a 8-byte buffer, one byte for each line of data. The font data starts with the space character (character code 32), so a lookup is simply font code base address + (ascii code - 32) * 8 to get to the bits for that letter. Arranged into an 8x8 grid, the bits for the letter H in the font data look like this. For each row of bits, I shift the line left using a neat trick. The byte is loaded into the a register, and then by adding itself to itself - add a,a we shift the value left (in binary, multiplying by 2 moves everything over one bit) so that the pixel I want to draw ends up dropping into the carry flag. This is an idiomatic way of doing it in Z80 code as it’s faster and smaller than the sla instruction. And every cycle quickly adds up when you’re re-drawing 256 bytes every frame! The character buffer then looks like this, with the top line shifted. Now, with the hl register pair pointing at the correct location on the screen, I can then use the rl trick discussed above. This shifts a scanline from the bottom character row of the screen left by one pixel and draws my pixel in the rightmost position by moving it in from the carry flag. Looping 32 times over this moves the entire row by 1 pixel with my new pixel inserted at the right. I then repeat this step again using inc h to move down one scan line until the entire character column has been drawn. At this point, the character buffer looks like this, and all 8 lines of the bottom screen row have all been shifted left by one bit by looping over all 32 character columns. The whole thing then repeats another 7 times until the entire character has been smoothly scrolled onto the screen. So just to re-state this because I think it’s worth the emphasis - just to scroll a message across the bottom of the screen, we’re having to loop over and re-draw 256 pixels every frame! It shows how much faster assembly is than the BASIC interpreter built into the spectrum’s ROM. I found it amazing to see my code finally working and imagining all the bits flying around and registers flapping away. It really makes me appreciate just how much effort went into creating the games I played back then. Music The original Amiga module I converted. A proper 1980s ear-worm! Of course, any good intro needs some music. On the Amiga, the standard was the “tracker” module format, which has a long and involved history of different forks, versions and tweaks. A song is built up from a series of patterns, each made up of rows of instructions. Each instruction usually includes note or pitch information, which sample to play and various parameters such as volume, effects - or in the case of some instructions, which position in the song to jump to. In many ways, it’s almost like a programming language for music. Using ProTracker as an example, a typical note cell is 4 bytes, shown on-screen as something like C-2 01 C20. That breaks down into three fields: the note and octave (C-2), the sample number (01), and the effect and its parameter (C20 - in this case, “set the volume to $20”, which is half of the maximum $40). A close-up of Protracker playing a tune. Note the VUmeters - another classic demo effect I would pinch later on! For an impressive demonstration of what’s possible with a tracker and to see what the note data looks like on-screen, check out the work of h0ffman, and in particular his winning “Professional Tracker” entry from the Revision 2014 competition. He’s an undisputed master of the science (or art!) of tracking, and his “Secrets of Protracker” talk gives a great overview of what’s possible. The Amiga’s sound hardware far eclipsed anything else on the market at the time, and the ZX Spectrum is paltry by comparison. The original 48K models only offered a rudimentary “beeper”, but the later 128K models included a 3-channel AY-3-8912 sound chip. This was very popular in 8-bit micros of the time, and a more-or-less identical variant was also used in the Atari ST. While it only offers basic waveforms and sound processing, it does enable multi-channel “chip music”, and so it became the mainstay of the ZX Spectrum demoscene. It also spawned a variety of SoundTracker clones on the Spectrum itself, although most musicians these days prefer to work in modern tools like Vortex Tracker II, which runs natively under Windows. The Conversion Pex looking back on his demos - this starts at the point where he features my letter and plays a bit of my cover version! For my intro, I wanted to port an Amiga module - and I had the perfect one in mind. One of my favourite Amiga music disks was “Sounds Of Gnome”, released in 1989 by the Swedish duo “Mahoney & Kaktus”. Mahoney also wrote NoiseTracker, one of the first really widely used trackers on the Amiga, and the program that served as my teenage introduction to making computer music of my own. Back in 2018 I made a rock cover of one of the other tunes on that disk, and wrote to Mahoney (real name “Pex”) about it. He ended up showing my “music video” at a demo conference, which I am eternally grateful for! So it seemed only fitting that I mangle another song from that collection with a Spectrum conversion… Sorry, guys! I picked the track “Milkman” which was written by “Glue Master”, an associate of Mahoney’s who had a few of his tracks featured on the compilation. It’s an ideal track for converting: It’s short (only 7 patterns in total), most of those patterns share the same chord sequence, and it looked fairly easy to squeeze the original 4 channels down into the Spectrum’s 3. Plus, it’s an incredibly catchy tune and I knew it well - I’ve been listening to it for 35+ years and often jam along to it on guitar or bass. The conversion started off pretty easily: all I really had to do was copy the patterns note-for-note from the Amiga mod, which I had open in OpenMPT as my Windows tracker. Below is a session with both trackers open on the same pattern - the original Amiga mod on the left, and my 3-channel Spectrum conversion on the right. Note the 11.7 in the 3rd channel of the Spectrum version. This is a “pitch slide down” effect in Vortex Tracker syntax, which drops the pitch by about a quarter-tone. It’s repeated on the next line, so the overall effect is a slide down from the A# that leads in to the next bass note. The original Amiga mod does the same thing using its own syntax - those are the 202s you can see on the same notes, at the bottom of the 4th track. Using just a single “beep” sound for everything was enough to check everything was working, and after a few weeks of hacking on it and re-arranging things in the evenings, I had a basic version which sounded surprisingly good for a first draft: Download the MP3 instead. I have to give a special mention to this forum post which was a massive help getting me started. It’s probably the best introduction to Vortex Tracker I’ve found - many, many thanks to the original author for taking the time to write it all up! The real challenge was making it sound as close to the original as possible. That meant building up a library of better-sounding samples for the different parts, and making extensive use of Vortex Tracker’s “ornaments”. Vortex Tracker comes with a great selection of sounds, and fortunately I’m also a weirdo who likes to listen to chiptunes in the background while I work! So whenever I found something particularly enticing, I filed it away for later pilfering inspiration. A Vortex Tracker sample isn’t really a “sample” in the Amiga sense of a recorded sound - it’s a definition of how a note sounds, one line per frame. Each line can mix in a tone or the white noise generator (useful for snare effects and suchlike), along with various other parameters. Ornaments, on the other hand, give you extra control over what pitch a note plays - and this enables really useful tricks like “arpeggio chords”. For example, an ornament of 0,4 makes the channel switch rapidly (25 times a second) between the note being played and the one 4 semitones above it. It happens so quickly that it sounds much like two notes played at the same time, which means you can build up full-sounding triad chords using only two channels. Take the opening chord in my fully converted version, Cm: It plays C in the first channel and the minor 3rd (D#) in the second, then I apply an ornament to the second channel to bring it up 4 semitones to the 5th (G). That gives all three notes of the chord, while keeping the 3rd channel free for other parts. As well as making much more efficient use of the limited 3 channels, this also gives Spectrum music that characteristic “warbling” sound, which I find really appealing in a retro kind of way! Between tricks like this and samples that mix tones with white noise (to make a combined “bass-snare” sound, for example), I managed to condense the full track down to 3 channels. Many months later, I have to say I’m really pleased with the final result. Playback The original site that was home to Vortex Tracker, documentation and other resources appears to be offline at the moment. I managed to grab a copy of everything I needed from archive.org - you’ll want the PTxTools.7z file for the playback routines discussed here. The playback was simple in theory: As this overview notes, you basically just pull in the player routine, include your module file and call the playback routine once per frame in your main loop. The catch is, none of the source code versions supplied in the archive worked with my Pasmo assembler. Fortunately, there is a pre-compiled binary object shipped alongside the source (VTII10bG in the PTxTools/PT3Play directory). This just has to be loaded in at address $C000 - this cannot be changed, as it has lots of absolute addresses baked in. My code to handle module playback now looks something like this, with the binary module loaded in place: ; Define the start address of the player routine and functions we need player EQU $C000 ; hard-coded org address of binary player plinit EQU player+3 ; init function in docs, module address in hl plplay EQU player+5 ; play and move on one frame ; from the docs - this "analyzes PT3 module header and prepares ; corresponding note and volume tables" ld hl,moduleimg call plinit ; main loop hold: halt call plplay call scroll ; other effects / routines go here... jr hold moduleimg: incbin "assets/music.pt3" Starfield Download the video Well, that didn’t work as hoped. TNFStro - tortoise edition. This brings me to the main event. No self-respecting cracktro is complete without a starfield! My first, naive approach to the classic starfield effect was to scatter random stars across the screen, then move down each scan-line applying the same rl trick I’d used for the scroll-text. I figured I could get parallax by shifting each row a different amount: One pixel for the first row, two for the second, three for the third, then back to one again, all the way down the screen to give the impression of several “fields” of stars moving at different speeds. It turned out there were two major problems with that approach. Firstly, shifting an entire row smeared whatever else was on it along with the stars - which I’d expected, and had filed away as a problem for future me. The bigger issue was speed: by the time I’d finished the first three rows I’d already performed hundreds of shift operations, and it was nowhere near fast enough to fit inside a single frame. Everything crawled across the screen, and the music playback slowed down so much that you could actually hear the arpeggio ornaments warbling away as separate notes. Clearly I was going to have to keep track of the individual stars instead. I found this routine, which was more-or-less what I had in mind and started me off with the idea of a structure to hold the state of each star. It also uses a screen address lookup much like the one from “Break Into Program”. Download the video Dammit. Back with another funeral dirge rendition :( That got things moving, but the co-ordinate lookup and tracking proved expensive to do (it has to run for every star, every frame as well as keep track of the old position for erasing) and I’d been ignoring the bigger question how to display stuff on top of the starfield. My original idea was simply to draw the stars and then paint text over them each frame, which blew the frame budget just as comprehensively as my first attempt. If I wanted something more interesting than an empty starfield, I’d have to keep track of which cells were occupied by text and avoid drawing stars in them in the first place, rather than over-painting them every time. After lots of scribbling in my notepad and visualising rows of bits, I eventually solved both challenges by “cheating” fairly liberally. So now, I don’t generate a random starfield at all. Instead, I built a table of pre-calculated Y and X position pairs: stdata: defb 109, 25, 88,182, 42, 96, 155,226 defb 59,254, 137,169, 160, 84, 125,193 ; ... and so on, for 32 stars ... This saves faffing about with an RNG, and once I have a layout that looks good I know it’ll always look good. I can also “fudge” things and ensure no two stars share the same y co-ordinate which sidesteps a whole class of problems like stars sharing a scanline, and having to deal with them overtaking each other. The “random” layout is generated by a simple Ruby script: #!/usr/bin/env ruby PAIRS = 32 PER_LINE = 4 # pairs per line Y_RANGE = 40..175 # exclude rows taken up by my logo & bars X_RANGE = 0..255 raise "y range too small" if Y_RANGE.size < PAIRS # no duplicate y values ys = Y_RANGE.to_a.sample(PAIRS) pairs = ys.map { |y| [y, rand(X_RANGE)] } pairs.each_slice(PER_LINE) do |row| body = row.map { |y, x| format('%3d,%3d,', y, x) }.join(' ') puts "defb #{body.chomp(',')}" end When the routine initialises, I convert those co-ordinate pairs into a table that tracks the state of each star. So rather than storing a position and translating it to a screen address every frame, each of my star records now looks like this (offsets from the base address): STSCR EQU 0 ; screen address of the byte the star is in, e.g. $4123 STOCC EQU 2 ; a pointer to the "occupancy check" table cell STMASK EQU 4 ; the star's bit pattern, e.g. %00010000 STSTEP EQU 5 ; "speed" - num. of pixels this star travels per frame The key thing is that there are no X/Y co-ordinates at all. For each star I store the screen byte it sits in and the bit mask within that byte, so it’s already in the form the screen writes need. That means no address conversion per frame, just simple bit shifting and rotation. Moving a star is then dead simple. I rotate its mask left with rlca, and when the bit rotates out of bit 7, it lands back in bit 0 with the carry flag set. That’s the signal I need to move the star one character cell to the left, which is one of the “cheap moves” from earlier. Because I’m tracking which cell each star is in, the collision check comes almost for free. That’s what the second pointer is for: STOCC (Star Occupancy) moves in step with STSCR through a table holding one byte per character cell. The “typewriter” routine sets a byte to 1 for every cell containing a text character or the cursor, so checking whether a star is hidden behind text is a single or instruction. If the cell is occupied, I skip drawing the star but carry on rotating and stepping it along until it reaches a cell where it can be displayed: ld l,(ix+STOCC) ld h,(ix+STOCC+1) ld a,(hl) ; A = the occupancy check for this cell or a ; test A against zero jr nz,stmove ; it's occupied, so leave the screen alone Parallax is still handled by moving each star a different number of pixels per frame, but the cost is a lot lower this time as I’m only touching the cells the stars actually occupy, rather than every byte of every row. Download the video That’s looking more like it! The typewriter routine is a simple copy of the font data from memory, and is very cheap as we can use the “cheap moves” to quickly fetch the 8x8 block. I also skip drawing any space character so it leaves the “occupancy cell” unmarked. This means the stars keep drifting through the gaps in the text - you can see here the odd star passing in between the words. I switched to ALL CAPS writing for the final version which helps the effect even more as the font is quite blocky, so you don’t really notice stars skipping the spaces inside a glyph at all. Misc Notes A few odds and ends that didn’t warrant a section of their own… VU Meters Some sort of graphic display bouncing along with the audio playback was another common early demo trope. I did originally consider a real-time graphic equaliser, but that would have been far too complex, probably in terms of spare cycles per frame, and definitely in terms of my limited mental capacity at this point! So I settled for a simple set of bouncing meter bars instead. It’s worth a mention mostly because it gives me an excuse to link to the awesome chibiakumas website! I just love the late 90s web design on display - one can argue that readability and accessibility take a hit, but it’s just so much fun to encounter a site that still looks like this. It’s a clear labour of love and there’s a wealth of content there as well, if your eyeballs are up to it. Their guide on Making Sound with the AY-3-8910 was what showed me how to get the data I needed to draw the meter bars. The examples write a register number to $FFFD to select a register, and I realised that once a register is selected, I could use the in instruction to read its value back out instead of writing a new one. As the page says, R8, R9 and R10 hold the channel amplitudes, so they feed nicely into the height parameter for drawing a bar. Getting the amplitude for channel A is then as simple as: ld a,8 ; Channel A register call ayread ; ... rest of code here ... ayread: ld bc,$FFFD ; Register select port out (c),a in a,(c) ret Twinkle, Twinkle, Little Star This is a simple effect that makes the header logo a little more interesting. I’m not sure where I originally got the idea - I’ve definitely seen something like it on a few late 80s/early 90s demos, though. All I wanted was to pick random star dots in the logo background and animate them. Here’s the header image loaded in ZXPaintbrush with the character cell grid showing. By happy chance, there are four stars which each sit neatly inside a single character cell with enough surrounding space, so they can be used to give an animated “twinkle” effect by drawing a cross out from the centre point and back in again. These dots map to the following co-ordinates, which target the top scanline of each fully-grown star (two pixels up from the centre): twkdata: defb 1,5 ; char row 0, col 5, centre y=3 ink 5 defb 1,20 ; char row 0, col 20, centre y=3 ink 1 bright defb 26,7 ; char row 3, col 7, centre y=4 ink 4 defb 25,22 ; char row 3, col 22, centre y=3 ink 6 bright The “twinkle” routine itself is simple enough: it adds a pixel on either axis to grow the star, waits a few frames, then shrinks it back down again. The interesting bit was how I made the twinkle order pseudo-random. Remember that my starfield was entirely pre-calculated from a data table generated by a Ruby script, which meant I’d never actually needed a random number generator in assembly. From Jonathan Cauldwell’s “How To Write Spectrum Games” e-book, I found another great “hack” which simply walks through the start of the Spectrum’s ROM, picking out random-looking bytes as it goes. As he says, he uses it in most of his games, and it does the job in a really simple way - as long as you stay below the block of structured, repeating data that sits 8Kb into the ROM. twkrand: push hl ld hl,(twkseed) ld a,h and 31 ; keep it within the first 8k of ROM ld h,a ld a,(hl) ; the "random" byte inc hl ld (twkseed),hl pop hl ret Out Of Space About halfway through writing the intro, I hit a fairly predictable problem: I had run out of memory. In an attempt to keep everything self-contained in one block of code, I was pulling all of the assets (the screen background, the player binary, the music file etc.) into the program itself, and then using the ldir block copy instruction to move each one into its correct location. Since that meant effectively storing every block twice, and the player routine had a hard-coded start address of $C000, I quickly ran out of room and my code started crashing into the playback routine. The simplest option was to split things out into separate code blocks, load each one directly to the address it needed to live at, and wrap the lot in a multi-stage BASIC tape loader: 10 CLEAR 32767 20 BORDER 0: PAPER 0: INK 0: CLS 30 LOAD "" CODE 40 LOAD "" CODE 50 LOAD "" CODE 60 RANDOMIZE USR 32768 This loads the main program, then the player routine directly into $C000, and finally the background screen straight into screen memory. It does mean the background starts appearing before the demo has fully loaded, but as I imagine most people will be seeing this running in an emulator or on my TNFS site, it doesn’t really matter. Plus, at this point I was in danger of disappearing down yet more rabbit holes (I still really want to work out how to do multi-colour border effects!) and I’d never have got this thing released. The Zen Of Z80 This whole project is a really weird one to look back at. On the one hand, I’ve fulfilled a childhood ambition and have something I’m very proud of. It’s also pretty unusual these days to end up with a binary where you can say pretty much what every single byte is doing and the story of how it got there. But on the other hand - I now have an answer for why I don’t code in assembly: It’s because I value (what’s left) of my sanity! The thing is, in order to write code like this you have to start thinking like the machine itself. You have to visualise the registers and the status flags flapping away, graphics as lines of bits slotted into strange orders, loops and conditionals as binary logic and so on. Getting this close to the hardware definitely brought about a greater sense of attachment to the hardware of my childhood, and it’s easy to see why assembly coders and sceners get so passionate about it. That said, I’m in no hurry to start re-writing my body of work in assembly! The projects I really enjoy are those that give me an excuse to learn something for the sheer hell of it, and to slow down a little from the ever-increasing velocity and demands of the modern work world. Going back to Z80 code is probably about the furthest I could have taken this, short of going into hardware hacking. I found it at times an intriguing puzzle, often a frustrating exercise that nearly had me throwing in the towel at several stages. This project has certainly taken the longest to go from the “idea” stage of any given feature to any kind of meaningful output. True, I didn’t spend every day of the last year working on it - my actual coding time was probably only a few hours over a couple of evenings a week. But I’ve certainly been thinking about it and pondering it most days (as my dogs will attest). The biggest breakthroughs and “aha!” moments usually didn’t come from behind the keyboard; they came from scribbles in my notebook and thinking about processor states while doing something unrelated. It has however given me massive appreciation and respect for the coders who pull this stuff off and make it look easy. And that goes double for those kids and bedroom coding superstars who managed all of this back in the 80s, and had to work it all out by experiment themselves. I only managed to get this far because of numerous books, online tutorials, GitHub repositories with sample code, YouTube videos… I can’t imagine how much longer this would have all taken me if the only resources I had were my Spectrum, a cassette tape recorder and a notepad. So, as I draw a line under this project - for now! - I raise a glass, and in the words of h0ffman: “Shout out to the hackers, graphicians and protrackers.”

16 hours ago • 1 votes
CalVer 26.0: 10th Anniversary Edition

A decade ago, a little bit of history was made. I didn't realize it, but a colleague made a great point, one of those real mind-changing points that seem too obvious to admit same-day. But, the next day, calver.org was born. At the time my team maintained the Python infrastructure for eBay and PayPal, and we were stuck deciding whether we were really ready for a "major" 1.0 release. Semantic Versioning was the only game in town and "major" means "big", right?! Thankfully, a wiser colleague mentioned: Ubuntu and Twisted don't struggle with version number debates. They slap a date on it and keep shipping. In fact, their date-based versions were even better because you always knew where it stood, in terms of updatedness and support. The only problem is that no one really knew about it. Somehow, this problem solving versioning alternative, arguably as old as history itself, had gone nameless for millenia, conspiring to make me feel foolish in an office meeting. Never again! Ten years of adoption Fast forward 10 years, we've seen CalVer adopted by Apple, Nvidia, JetBrains, and countless others. (We have a timeline!) The site may have more inbound links than any other project of mine. Apple made the biggest jump, at WWDC 2025: iOS went from 18 to 26 macOS from 15 to 26 watchOS from 11 to 26 and visionOS from 2 to 26 All landing on one, consistent number like a car's model year. I still remember the texts from the Venn diagram fanbase of my friends who love Apple and reasonable versioning. No such texts from when NVIDIA announced calendar versions across the GPU Operator, RAPIDS, and its monthly NGC containers, but still very cool. Open source, too: Home Assistant, pip, CockroachDB, and yt-dlp all ship on dates, with plenty more on the users page. The conversation even reached the language core; PEP 2026 proposed versioning CPython as 3.YY, and it almost happened, too. And it's never too late, time marches on! Fixing the notation But I don't think I got every detail right from day 1. That's the main motivator for CalVer 26. It's high time to start righting a couple idiosyncratic token design choices, starting with some additions: Meaning Before 26.0 26.0 Full year YYYY YYYY Short year (6, 16) YY YY Zero-padded year (06, 16) 0Y 0Y Short month (1 ... 12) MM M Zero-padded month (01 ... 12) 0M 0M Short week (1 ... 52) WW W Zero-padded week (01 ... 52) 0W 0W Short day (1 ... 31) DD D Zero-padded day (01 ... 31) 0D 0D Seeing double First, the doubled letters. From the first version (16.6), MM and DD meant the unpadded month and day, which reads backwards to anyone who knows date formats (ISO 8601's YYYY-MM-DD, Java, moment.js, day.js), as some community members correctly pointed out. I was ready to flip them, until I checked what people actually use: most projects with a YY.MM.MICRO badge (conda, Twisted, Ansible's tooling) don't pad, and more than a dozen other version management tools (like bumpver and bump-my-version) implement the old meaning. So, it's too late to flip MM's meaning. Instead, 26.0 deprecates it and offers a more explicit and hopefully clearer option: M is the short month, 0M the padded one, and MM is a technically-retired synonym for M. In case you're wondering, the explicit 0M was me being overinspired by Ubuntu's approach, perhaps: 6.06 pads its month but not its year, and YY.0M says exactly that. To pad or not to pad I think it's worth a detour into why padding is even a thing anyways. It's become important now that new ecosystems have emerged that enforced SemVer formatting semantics, and I wanted clear guidance about on the spec site. SemVer forbids leading zeros outright, so Cargo rejects 26.04.0 and Go modules reject v26.04.0. Even Python's packaging spec normalizes leading zeros away, so you can tag 2026.08.19 if you want, but PyPI will still show 2026.8.19. NVIDIA's GPU Operator docs put it this way: "Zero padding is omitted for month to be still compatible with semantic versioning." CalVer was always intended to drop in where SemVer was used. So 26.0 recommends unpadded (YYYY.M.D) as a sane "pure" default for software libraries. But libraries are not the only objects of versioning schemes. The exception is a version that becomes a filename, an image tag, or an object-store key that gets listed lexically. There, padding keeps 26.10 sorted after 26.09, which is why Ubuntu, NixOS, and NVIDIA's own NGC containers pad. More evidence of teams designing their versions. We love to see it. Our FAQ has a longer discussion of the padding issue, as well. Optional segments There was never any rule against them, but 26.0 makes optional trailing segments more explicit with square brackets. Now, yt-dlp's scheme can finally be written down: YYYY.0M.0D[.MICRO]. For the CalVer badges I could find on GitHub, they all stay valid for now. I've got a note on the deprecated spellings and a new copy-paste badge section for new ones. What else is new? It's always a great time to add more citations to the site. A spec changelog; the spec now versions itself: 16.6, 19.7, 26.0. A FAQ: breaking changes, same-day releases, and padding. The users page, rebuilt by category, with past users of note (schemes change; that's fine) and tooling. Case studies: Apple and NVIDIA in, yt-dlp replacing youtube-dl. Much of the thinking behind these changes happened in the GitHub issue tracker over the years, and 19 or so issues close with this release. That's where ideas for CalVer should go, so by all means, open an issue, and we'll get it sorted! In due time, of course. In closing, I can't believe I still love belaboring these numbers so much. Thanks to all (but especially Mark, Glyph, Hugo, issue reporters, translators, and maintainers) for the discussion, and ultimately making the most timely versioning system a timeless classic. See also 2016 announcement Designing a version My Yap on Why CalVer beats Semver

yesterday • 1 votes
"You didn't do it right"

Four sincere attempts at OKRs, four failures, and every time: "you didn't do it right." Maybe the framework doesn't fit you -- so how do you find one that does?

yesterday • 1 votes
We solved SQLite's single-writer limitation

Multiple concurrent writers. Multiple processes. Same SQLite. No modifications.

3 days ago • 1 votes
If your team is happy, are you doing a good job?

Brilliant jerks, ZIRP-era managers, and how psychological safety lost the plot. Part 3 of my conversation with Dr. Cat Hicks.

4 days ago • 1 votes
📚 BoredReading

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