# boldsoftware/meat

meat.dev

Repository: https://github.com/boldsoftware/meat
Canonical: https://ross.abutalabs.com/products/meat
Language: Go
License: NOASSERTION
License Family: other
Last push: 2026-08-03T20:16:43+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 35, longevity 4
- inputs: {"age_days": 63, "days_push": 30, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2030, forks 72 (observed 2026-08-28T04:06:07.140873+00:00)

## What it is
meat is a Go CLI tool that uses an LLM to abridge a code diff into a 'reading diff', reducing agent-written changes to the conceptually important parts for human review. It accepts git-style parameters to select commits and handles very large diffs by splitting them at file and hunk boundaries.

## Use cases
- review agent-written code changes at the concept level
- summarize a large git commit into its important parts
- pre-process commits into readable diffs for faster review
- focus code review on architecture and algorithm choices instead of style

## When to choose
- you need to review large AI-generated diffs quickly
- you want concept-level review rather than line-by-line nitpicking
- you want a simple Go CLI that integrates with git workflows

## When to avoid
- you need exact line-by-line diff fidelity for compliance or security audits
- you don't want to send proprietary code to an LLM
- you need real-time review with no processing latency

## Facets
- artifact type: cli-tool
- maturity: active
- function: llm-inference, code-review, developer-tools, cli
- domain: developer-tools, version-control, large-language-models
- platform: cli, go, cross-platform
- tags: code-review, diff-summarization, ai-assisted-review, git

## Member repositories
- boldsoftware/meat (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:07.140873+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:59:34.402375+00:00, confidence not recorded.
  - readme: https://github.com/boldsoftware/meat (fetched 2026-08-28T04:06:07.140873+00:00, sha e76d90430c54)
- Data as of 2026-08-30T08:39:29.467469+00:00.