A one-day, 294-point thread makes the case that Claude 5's voice has become a workaround problem

Ahn published a small command-line tool that pipes Claude 5's replies through a second, smaller local model, run via Ollama, Llama.app, or any OpenAI-compatible endpoint, to strip what he calls its token vomit before a human has to read it. The Hacker News thread carrying it collected 294 points and 286 comments in a day. The top comment, from a practitioner describing weeks spent fighting the same problem across both Claude and Codex, put it plainly: "The baked in communication style of these models is so obnoxious it's impacting my work... It's like they've been trained to produce output that's hard to read." Ahn's own README does not oversell the fix: the tool is "totally vibe-coded," slow, and its cleanup model "hallucinates a bit" because it only sees Claude's text, never the underlying files or actions.

Why it matters: Vomit is a second inference call, and a second cost, spent undoing the first one. That a practitioner would rather build and ship that than keep prompting around the problem is the clearest signal yet that Claude's post-Opus-5 verbosity has moved from a complaint into something people spend engineering time on.