
Blackship vs The Galaxy: FreeBSD Jail Managers Compared
Docker, Podman, Bastille, CBSD, iocage, pot. Which jail manager actually fits your workflow? A brutally honest comparison.

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 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.

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<T> and RefCell<T>. Mars doesn't care about vanity metrics.