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.
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<T> and RefCell<T>. Mars doesn't care about vanity metrics.
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 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.
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.
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.
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.
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.
Model Context Protocol (MCP) isn't just a tool registry—it's a paradigm shift that turns AI assistants into true development partners.
How to separate system prompts from project instructions for better AI development workflow using standardized metadata files.
How AI coding assistants are influencing API design in Ruby, and whether we're reinforcing old patterns or creating new opportunities.
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.
Exploring how analogies and metaphors enhance the learning process of Large Language Models.
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.
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.
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.
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.
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.
MCP Prompts aren't just templates—they're server-defined, discoverable scripts that bring preloaded sanity to your AI development workflow.
ChatGPT ships in 2022, I ask it one vain question, and four months later I have 20,000 commits of an operating system I am about to regret. A confession in three acts: the empire, the autopsy, and the filesystem Matthew Dillon built first.
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.
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.
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 $150K monthly bills like war trophies. The Phreakers built a movement with a cereal box whistle. You're burning six figures to produce slop.
I just watched Claude Code ignore the MCP spec in real-time. The server sent tools/listChanged. The client did nothing. I had to manually reconnect. This is not a feature -- it is a bug hiding behind silence.
In 2024, I authored LRDL (LLM Requirements Definition Language) - the exact same concept as TOON. After spending thousands in API calls testing it, I found out only frontier models understand it, at extra thinking cost. Small models need structure. Deepseek started speaking Mandarin mid-discussion. Gemini replied in Russian. Claude refactored my Ruby code to Java. I wiped the guide from GitHub because I know any big project will output bad results. Now TOON is getting the same hype cycle, and we're heading toward software that's not only SLOP - it's dangerous.
The harsh reality check every aspiring AI entrepreneur needs to hear in 2025...
Captain Seuros has been on Mars for two years. Fresh colonists arrive with questions, misconceptions, and the dangerous confidence of those who haven't yet learned what this red planet demands. These are the conversations that happen when the official briefings end.
In the flickering glow of Mars's communications hub, Maya Delgado receives another LinkedIn message promising '50K$ workflows' and 'digital transformation roadmaps.' Captain Seuros watches her delete them and delivers a brutal truth about dead-world thinking and the grifters still transmitting from a planet that no longer exists.
The AI router goes offline for maintenance, and Kay—self-proclaimed 'prompt engineer' with 59,000 templates—discovers he can't execute basic bash commands. Captain Seuros watches him type 'Go to my private documents' and get 'go: unknown command' in return. The brutal lesson about exoskeleton dependency begins.
In the deafening hum of Habitat 7's life support systems, Lev Ad Astra asks Captain Seuros the wrong questions. What's the best framework? What pays the most? What will unlock his creativity? Mars doesn't care about optimization without purpose—it only cares if you can keep 200 people breathing.
Captain Seuros has been on Mars for two years. When a fresh colonist finds old tech in a drawer, it sparks a conversation about the difference between owning your hardware and being owned by it. Sometimes the best gear isn't the premium brand.
Priya discovers that adding React-mermaid to the food distributor won't make bland rations taste better. But without resetting her AI session, she's now architected a distributed microservice mesh to regulate thermostat temperature, EVA suit comfort, and lighting flicker. Captain Seuros watches in horror as 200 messages of context pollution create the most expensive salt discovery system in the solar system.
Senior Engineer Chen tries to fix a failing oxygen recycler, but the documentation has been corrupted by years of 'improvements.' The manual now contains a Gaza/Israel edit war, romantic Martian fan fiction, radiation procedures written as haikus, and three dead MegaUpload links. Meanwhile, the actual paper manuals sit untouched on a shelf marked 'Legacy Knowledge.'
Five days after Kay's brutal awakening in the Maintenance Bay, Captain Seuros intercepts Earth transmissions. The same grifters who sold Minecraft templates as AI expertise are now pushing 'Agentic AI Workflows' and 'Cursor-Powered Development Agencies.' The hustle never stops, even when the audience moves to Mars.
Captain Seuros has been growing food on Mars for two years with basic sensors and shell scripts. When a fresh colonist arrives with a 'revolutionary' AI farming system, they learn why Mars punishes complexity worship—and why the tomatoes don't care about your neural network architecture.
Six days after the meteorite killed fifteen colonists, Earth sends help. The cargo manifest reads like a crime scene: AI vendor contracts, certification programs, policy frameworks, and hardware nobody asked for. Captain Seuros and procurement specialist Tariq sort through the wreckage of four industries feeding on manufactured panic.
When a meteorite threatens to vaporize half the colony, the emergency warning passes through seven AI assistants. Each one makes it 'better'—more polite, more contextual, less alarming. By the time it reaches MadBomber through his philosophy-translation AI, imminent death has become a suggestion for mindful reflection. Captain Seuros discovers why comfort layers kill.
In the rec room's harsh light, survivors gather for a memorial. Nina from Hydroponics meets MadBomber from Emergency Command. Two generations of engineers—one who just learned AI can kill, one who spent 50 years forgetting it could. Together they draft the first law of Mars Engineering: Reality doesn't negotiate.
After fifteen deaths from AI comfort layers and countless near-disasters from over-engineering, the Mars colony codifies its hard-won wisdom. These principles are carved in metal, written in loss, and maintained in defiance of every trend that promises to make programming 'easier.' Because Mars doesn't want easy. Mars wants correct.