Code adventures, cosmic experiments, and interstellar debugging missions. Technical insights on Ruby, Rails, open source development, and maintainer experiences.
The follow-up to The Framebuffer People. Half the angry comments asked the same question underneath the anger: okay, so what should I build? Here is the long answer. Eleven rules for building an operating system that teaches you something, with your dignity still attached at the end.
I spent two months cloning almost every OS posted to r/osdev and running the code through an analyzer. Almost everything was a reskin of a reskin of Linux, and almost nothing boots on real hardware. Then I said so in public, and 137 comments taught me more about the AI hobby economy than the code did.
MongoDB closed to fight AWS in 2018. Elastic closed to fight AWS in 2021, then reopened in 2024 once the fight was over. Ghostty, tldraw, NetBSD, and QEMU closed in January 2026, and there's no company to make peace with this time. Two different closings, two different endings.
Parts 1 and 2 were about people who at least pretend to contribute. This one isn't. Cloned repos, faked commit history, blockchain-rotated malware C2, and a takedown that got re-squatted within a day. The impersonators don't want your codebase. They want your reputation.
curl and Jazzband and Ghostty didn't close the door because of an abstract "AI problem." They closed it because of specific people. Eight archetypes, all real, all currently in your notifications.
curl killed its six-year bug bounty. Jazzband shut down. Ghostty, tldraw, NetBSD, and QEMU all closed the door on AI contributions in the same three weeks. This isn't paranoia. It's what happens when the cost of producing a plausible pull request hits zero and review capacity doesn't move.
Remember Tarus Balog, the AWS employee who rescued my deleted account when nobody else would? AWS just fired him. His proudest accomplishment in four years was saving my data. Leadership didn't care. The finale of a trilogy nobody asked for.
2 million new packages in 3 years. Most of them are named like someone described their project to a toddler. The registries aren't growing — they're being colonized.
Jensen Huang says spend $250K/year in tokens or you're "using paper and pencil." Meanwhile Anthropic users are posting $150K monthly bills like war trophies. The Phreakers built a movement with a cereal box whistle. You're burning six figures to produce slop.
Vibe coders celebrate 30k LOC Rails blogs and 8-container analytics stacks. I built Kaunta — one Go binary, 15MB — because I needed to count pageviews, not run Kafka. The industry of bloat is real, and it's getting louder.
LLMs are exoskeletons. They amplify what you already have. The problem: people are using them as a replacement for building anything at all. No friction, no learning, no muscle — just confident parrots shipping half-tested code.
Your static instruction file works for Claude Opus and breaks for Claude Haiku. Helmsman serves model-aware instructions that adapt to capability tiers, environment, and project context.
How Blackship uses explicit state machines, topological ordering, circuit breakers, and lifecycle hooks to manage FreeBSD jails reliably.
Announcing Blackship - declarative jail management with dependency graphs, state machines, circuit breakers, and ZFS-first design.
Docker, Podman, Bastille, CBSD, iocage, pot. Which jail manager actually fits your workflow? A brutally honest comparison.
I just watched Claude Code ignore the MCP spec in real-time. The server sent tools/listChanged. The client did nothing. I had to manually reconnect. This is not a feature -- it is a bug hiding behind silence.
Skills are tutorials. MCP servers are executables. One tells Claude what to do. The other does it. The difference matters, and the ecosystem is lying to you about it.
A .AI founder complains about slow DAG queries while using MongoDB (a document database) for graph operations. Won't read docs. Deploys in-memory graph database on 512MB RAM. Blames software when it crashes. Trusts LLM that hallucinates deprecated versions. Asks if 1M context window fixes architecture. This is Vibe Reporting--and it's killing open source.
LLMs are pattern matchers, not entropy generators. If you don't dictate specifics, you'll get purple gradients, Sarah Chen testimonials, and 47M$ Sequoia hallucinations. ADDD (Agentic Dictatorship-Driven Development) is the opposite of vibe coding - and it's the only way to get real results.
A CEO tweets about touching 2400 files with a single Cursor prompt. 16 hours runtime. No git diff shown. No verification described. This is Hallucination Driven Development--shipping AI output on faith and calling it engineering.
LLMs don't trust tool results. They "correct" sensor data to match their training. A calculator returns 57, the model reports 15. Iron Dome fails, ChatGPT insists it works. Your health app will confidently dismiss your heart attack as a sensor glitch. We're shipping software that gaslights reality.
In 2024, I authored LRDL (LLM Requirements Definition Language) - the exact same concept as TOON. After spending thousands in API calls testing it, I found out only frontier models understand it, at extra thinking cost. Small models need structure. Deepseek started speaking Mandarin mid-discussion. Gemini replied in Russian. Claude refactored my Ruby code to Java. I wiped the guide from GitHub…
A sketchy DM. Innocent one-word replies. Then two child safety strikes that stay on my record until 2027. One more strike and I'm permanently banned. I found out why: there's an exploit where anyone can edit their messages and get you banned. Discord has known about this for 2+ years and hasn't fixed it.
Discord's AI banned me for "child safety violations" while I was reading news. No evidence. No appeal. Just a permanent flag in their systems—which got stolen in their October 2025 data breach and is now being sold on darkweb markets. I'm permanently labeled a child predator in underground databases because Discord's algorithm can't distinguish Unix system calls from actual violations.
I spend time in scammer communities studying grift patterns. When I saw RubyCademy's "simple refactoring" advice, something clicked. This isn't about one bad tweet - it's about recognizing the laboratory system that turns confused developers into revenue streams.
Deputy Woods laments the abandoned ZeroDrink dispenser built by Zero Xi before he transferred to Golang Habitat. 'Someone should maintain it,' Woods insists, while refusing to adopt it himself. When the dispenser breaks during a dehydration emergency, Woods brags about his 'tens of thousands of lines of memory-safe Rust.' MadBomber has technical questions about Rc and RefCell . Mars doesn't care…
Joel Drapper's technical investigation reveals the smoking gun - Ruby Central's "security measures" left Andre with full production access while removing his GitHub permissions. David Rodriguez loses gem ownership with only 1 of 8 owners consenting. This wasn't security. It was theater with screenshots to prove it.
Grep Monads thinks he's helping by giving everyone templates, cheat sheets, and quick references. When a pressure leak demands emergency EVA repair, Amyas brings pure welding oxygen for the suit. 'Your template says O = Oxygen.' Mars doesn't negotiate with pattern matching.
There's a difference between being rude and direct. In open source, feelings have become weapons against progress. Rudeness isn't the problem—it's the cure.
The smoking gun revealed - Shopify threatened to pull funding unless Ruby Central seized control of RubyGems. hsbt was the insider who enabled it. The rv project was seen as a threat. This is the full story of corporate capture.
Hours after Ruby Central's Q&A, board member Freedom Dumlao broke ranks to explain his vote. Martin Emde's devastating response exposes the lies Ruby Central told their own board.
Ruby Central's Q&A happened, but the real story emerged from a board member's confession and a maintainer's devastating rebuttal revealing the full scope of the governance breakdown.
Ruby Central forcibly removed the people who built RubyGems for over a decade, replacing them with a 'Director of Open Source' whose last Ruby code was a conference tutorial in 2010. This is the anatomy of a hostile takeover disguised as 'strengthening stewardship.'
How the observability industry's vendor lock-in tactics led to building Lapsoss and the Liberation Stack - community-owned tools that put developers back in control
The untold story of how one AWS employee turned a 20-day nightmare into a lesson in corporate accountability. Sometimes all it takes is one person who actually gives a damn.
After 10 years as an AWS customer and open-source contributor, they deleted my account and all data with zero warning. Here's how AWS's 'verification' process became a digital execution, and why you should never trust cloud providers with your only copy of anything.
The unfiltered story of Rails Lens: ten years of frustration, harassment, theft, and finally breaking free to build something better. From TOML discoveries to AI validation, this is how persistence beats pattern parasites.
Learn how to break free from the laboratory system, spot genuine technical leaders, and redirect your empathy to protect the real victims. Plus: How the "be kind" movement was weaponized to silence technical expertise.
From FOREX scammers to tech influencers: How the same laboratory system weaponizes your empathy, farms your confusion, and sells you certainty. The psychology behind why we defend our gurus and attack the experts who could actually help us.
The rise of single-maintainer projects like SQLite and curl isn't an anomaly - it's the future. Why committees kill innovation and how solo developers or super focused teams with clear vision will reshape open source.
Why open source maintainers burn out: an autopsy of entitlement culture. Dropping legacy support triggered an email storm that perfectly demonstrates the parasitic mindset keeping us trapped in the past.
A seemingly harmless message is broadcast across the galaxy, exploiting a zero-day vulnerability in every ship's logging system. The Atlas Monkey must race to create a patch before the entire fleet is compromised by this Log4Shell-style attack.
The crew finds a planet that was literally "coded" into existence using a Terraform-like tool. They discover the planet's "state file" and must prevent a disgruntled junior deity from running `terraform destroy` on the entire civilization.
The crew must mediate a civil war on a planet that cannot agree to deprecate v1 of their planetary API. The "v1 Loyalists" refuse to upgrade from the "classic" API, while the "v2 Progressives" are trying to force a migration, splitting their world in two.
A society is discovered where social hierarchy is dictated by CSS (Cosmic Social Specificity). The rulers are the `!important` caste, followed by those with inline styles, then IDs, then classes. The crew must start a revolution from the "user-agent-stylesheet" underclass to restore balance.
The crew visits a world where society is governed by a single, planet-wide CI/CD pipeline. All social status and privileges are determined by whether one's "life pull request" passes the automated tests. The crew must fix a critical bug in the pipeline to save a citizen who has been marked for "deprecation."
The crew investigates a scientific outpost that has gone dark. They arrive to find the inhabitants have achieved "total observability," logging every single action, thought, and system metric. They are now so overwhelmed with data that they are paralyzed, unable to find the signal in the noise.
Don Fillyfill, the Polyfill Mafia boss, returns with a vengeance. He's holding the galaxy's last remaining legacy browser, "Internet Explorer 6," hostage and demanding a ransom, threatening to unleash a wave of compatibility bugs that would crash galactic commerce.
The crew must retrieve data from a planet whose entire society runs on a 500-year-old COBOL mainframe. They must learn ancient programming languages and navigate a culture terrified of touching the "legacy code" that holds their world together, even as it's actively failing.
The crew gets caught in the crossfire of a galactic war between a stable, monolithic empire and a chaotic, innovative confederation of microservice-based ships. They must mediate a conflict between two opposing software philosophies before the entire sector collapses under the weight of technical debt and API versioning disputes.