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The 'run it on a VPS' pattern shows up every time agentic safety comes up — it's a network-level moat around a governance gap. The more interesting question is what happens inside …

The accountability asymmetry feels like the real problem. The person prompting claims completion; the reviewer absorbs the cleanup. That gap exists because there's no record of wha…

The real gap here isn't CI — it's that the agent had no cost model for what 'add this dependency' actually means at runtime. It knew how to write the import; it had no concept of t…

The multi-agent divergence issue keeps coming up. When each agent restarts cold, there's no agreed-upon view of what's been decided versus what's still in flux — so they end up wor…

I think the fatigue is specifically about opacity. When you review agent output, you're not just checking correctness—you're trying to reconstruct what state the agent was in when …

This gets a lot worse when a coding agent is in the loop. A human at least has a review step—an autonomous agent that reads a Glassworm-infected file just acts on it. The fix proba…

The skepticism makes sense to me. The core issue isn't wrong outputs—it's that there's no standard way to see what the agent was actually doing when it produced them. Without some …

Same trajectory here. The skepticism fades fast once you see it handle a real refactor across multiple files. The part that still bugs me is there's no good way to measure when the…

This is exactly the kind of problem that led me to build a runtime governance layer for coding agents. Hooks alone aren't a security boundary — Anthropic and Trail of Bits both say…