I am working on speeding up the review-refine loop of LLM generated artefacts between me and the LLM. i run my coding agent (claude code) in auto / full-permission mode, so it doesn’t stop for accept/reject — by the time it’s done i’ve got a pile of generated code, docs, sometimes ui to review. and the slow part for me is to refine it before push it to remote. i would copy-paste snippets to point at what i wanted changed, screenshot the ui, describe where the problem was in prose, one message at a time. its cumbersome.

so i built prereview to speed up that review-fix loop. you run it in your repo (or point it at a file, a dir, or a running dev server), click what’s wrong: a diff line, a markdown/html block, a region of an image, a box on a live site — and leave a comment. the comments go to a csv, your agent reads it and fixes things and tells you what it did via a comment or even posts suggestions which you can accept or reject. it ships with a claude code skill, but the handoff to llm is just an open csv protocol, so any llm cli can drive it. stuff that might interest people here: single static go binary, fully offline; it reviews docs/images/live ui as well as code; comments re-anchor when the file changes under them. it’s mit and still early but I use it everyday. Its here: https://github.com/livetemplate/prereview