Complete navigation logs from the Ruby nebula—all coding adventures, cosmic experiments, and debugging missions.
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 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.