Every single AI integration feels under-engineered (or not even engineered in case of tokenslop), as the creators put exactly the same amount of thought that $LLMOFTHEWEEK did into vomiting "You're absolutely right, $TOOL is a great solution for solving your issue!"

We're yet to genuinely standardise bloody help texts for basic commands (Does -h set the hostname, or does it print the help text? Or is it -H? Does --help exist?). Writing man-pages seems like a lost art at this point, everyone points to $WEBSITE/docs (which contains, as you guessed, LLM slopdocs).

We're gonna end up seeing the same loops of "Modern standard for AI" -> "Standard for AI" -> "Not even a standard" -> "Thing of the past" because all of it is fundamentally wrong to an extent. LLMs are purely textual in context, while network protocols are more intricate by pure nature. An LLM will always and always end up overspeccing a /api/v1/ping endpoint while ICMP ping can do that within bits. Text-based engineering, while visible (in the sense that a tech-illiterate person will find it easy to interpret), will always end up forming abstractions over core - you'll end up with a shaky pyramid that collapses the moment your $LLM model changes encodings.