ripwire: ripgrep of AI context (CLI+MCP) giving coding agents a map of any repo (github.com)

19 pointsby guessmyname2 days ago14 comments

kamiheku 2 days ago

From the hero image:

  *wire* every count it cannot prove is a total ships labelled as a floor

What on earth does this mean?

cityofdelusion 2 days ago

A bunch of sections of the README are nonsensical as well. I'll just file this under "magical token-saving project #481 of 2026 that probably performs worse than the harness" for now.

vintermann 2 days ago

Feels like it to me too. Not only is it clearly extremely vibecoded, but the human author seems to have failed at (or not tried) restraining common agent impulses such as writing huge, sprawling stream-of-artificial-consciousness "documentation" which is of no use for humans, and questionable use for the agents themselves.

SwellJoe 2 days ago

My policy is that if someone doesn't understand the tool they've vibe-coded well enough to make the documentation coherent, they don't actually use it, and so I probably shouldn't use it either.

SwellJoe 2 days ago

Opus can't speak coherent English anymore. I dunno what happened, but it's not speaking a language humans can understand. It uses unusual shorthand and slang, which it seems to use pretty consistently, so it's probably possible to learn its particular dialect. But, I'd rather it speak a language I already know.

cyanydeez 2 days ago

I assume all major cloud AI are lowering their quants and measuring user retention.

SwellJoe a day ago

That doesn't really track, though. Even tiny models, like Gemma 4, have coherent prose. I know Opus isn't being quantized that small. It seems like it must be some kind of...I dunno. Maybe over-fitting toward some user metric that doesn't track how readable its writing is?

It seems to still be good at code (though I haven't directly compared to earlier Opus versions lately), so it's not a general model collapse type problem, nor quantization errors. If quantization problems, I would expect it to break down on logic before prose, since a 4-bit quantized Gemma 4, even the small versions, have pretty good and, more importantly, coherent written English.

cyanydeez a day ago

Qwen3.8 quant 4 27b works coherently and takes up very little space.

If the cloud AIs arnt downsizing the majority of their customers, they will be out of business.

cyanydeez a day ago

Qwen3.8-flash-next can run in ~60gb, offloading 50gb to ssd, and is comparible.

The business has to downgrade to be sustainable, and open models prove it.

Havoc 2 days ago

Readme is very AI.

Still will see what inspiration I can take from this. I’ve seen improvements from my own rudimentary repo overview tool

softwareguy79 2 days ago

This repo is amazing, I coded all weekend w fable w the orchestrator model and asked fable how much it helped, half the tokens and essential eliminated work w what quality checks

ShinyLeftPad 2 days ago

> task-shaped skills

nsingh2 2 days ago

What's with slop-factories forgetting what a README is supposed to be? A quick intro to the project, not a gigantic abomination with irrelevant details.

wodenokoto 2 days ago

Is at okay to flag things if they just feel like end-to-end slop? If this was a comment, I'd down-vote it.