meat

meat is a Go-based command-line tool built by Bold Software that compresses code diffs into focused "reading diffs" — stripping away noise like style fixes, nil-checks, and import changes so reviewers can focus on concepts, algorithm choices, and architecture. It is designed specifically for the era of agent-written code, where humans still need to review critical systems but no longer need to wade through mechanical changes that models handle well.

What It Is

meat is a code review aid that pipes a git diff through an AI model and returns only the substantive parts — the "meat" of the change. It is a CLI tool written in Go, installable via go install, and operates directly on your local git repository. The tool accepts standard git-style parameters to select which commits to review, defaulting to the latest commit when run without arguments.

How It Works

When you run meat, it reads the specified git diff and sends it to a model for abridgment. The model identifies and retains conceptually significant changes while discarding low-signal edits. For very large diffs, meat automatically splits the input at file and hunk boundaries and processes each chunk independently (supporting up to a few MB per chunk), then merges the results into a single unified reading diff. This means even a massive single commit produces one coherent output, though processing time scales with diff size.

Intended Workflow

Because processing a commit takes time, the README recommends integrating meat into your devtools pipeline so that it pre-processes commits in the background — for example, having an agent trigger meat automatically after each commit so the reading diff is ready when a human sits down to review. This positions meat as a background step in an AI-assisted development workflow rather than an interactive blocking tool.

Audience and Use Case

meat is aimed at developers and teams working with AI coding agents on critical systems, where human oversight remains essential but the volume and mechanical nature of agent-generated changes make traditional line-by-line review impractical. It addresses the specific problem of review fatigue in agentic codebases by filtering the signal from the noise before a human ever opens the diff.

Current Status

The repository was created in July 2026 and last pushed in August 2026, indicating active early development. It is licensed under the Apache License 2.0 by Bold Software, Inc. The project has accumulated 743 stars and 25 forks on GitHub, suggesting meaningful early traction in the developer community. The primary implementation language is Go.