Would you bet the release on this repository?
Read the codebase mechanically, and the answer is a number with its factors shown rather than a Friday-afternoon opinion.
Scoring, reading, and arguing back
Different ways to make a codebase testify, and the last two run in your browser right now. Anything not publicly released is marked.
Scoring
A number is only useful if you can see how it was reached and disagree with a specific term of it.
Reading with a model
An LLM audit that does not track coverage is a vibe. These record what was read, what was skipped, and why.
The papers
Every paper carries the methodology behind any number it emits, and what the tool deliberately does not do. Pick them up from the catalogue.
- Scoring a repository so the number means somethinggandalf and gradebook
- Reviewing code that no human wrote, and still owning ita review sheet that replaces reading with mechanical checks
- Getting a hostile second opinion out of a coding assistantone prompt per angle of attack, with verification as a step
This theme grew out of the AI one. When a model writes the first draft, reviewing becomes the scarce skill, and the review has to be mechanical enough to trust on a tired afternoon.
Working on this?
Tell me what you are looking at and I will tell you honestly whether any of this helps. No pitch attached, and the papers are free either way.