Stage
A code review tool that logically organizes and verifies code changes for AI agents.
The ReviewStage team released Stage on May 4, 2026. Stage is a locally-based code review tool designed to help human developers intuitively understand and validate the rapidly increasing number of code changes in the age of AI coding agents. This tool employs an innovative architecture that groups raw Git diffs, not by alphabetical order of files, but according to logical flow. This allows developers to read through complex logic modifications in the development pipeline not as a simple list, but as a storybook with a coherent flow. Traditional code review methods relied on the static file tree structure provided by Git Diff tools. This created a limitation where it became very difficult to grasp the overall intent and context of modifications when closely related class modifications or variable refactoring were scattered across multiple files. It was like arbitrarily mixing up all the scenes of a movie and watching them in the order of camera serial numbers, creating an unnecessary inconvenience. To overcome these problems, Stage semantically analyzes the modified code chunks (hunks) and groups highly related modifications into chapters. This allows developers to quickly reconstruct the intent and technical narrative behind the addition and deletion of code. Developers and researchers can use this tool to effectively modify local validation code for complex genomic analysis algorithms or machine learning models when collaborating with AI agents. When an agent simultaneously modifies dozens of files, from data preprocessing to model evaluation metric visualization, running the `stagereview` command analyzes the local change history and structures it into logical chapters. Subsequently, a local web browser automatically launches, allowing developers to intuitively explore the visually organized change flow through an interactive UI. Based on this analysis, the tool also automatically generates a readable description for the body of a pull request on GitHub, thereby maximizing both the reliability of code validation and the speed of deployment.
💻 System Requirements
0 (CPU only)
50MB or less
⚡ Installation
### 4-1. Quick Start
```bash
npm install -g stagereview
```
### 4-2. Detailed Installation
```bash
# 1. Add and execute as a skill for the AI coding agent (e.g., Claude Code)
npx skills add ReviewStage/stage-cli
# 2. Analyze local changes and run the browser-based review UI
/stage-chapters
# 3. Compare local changes based on a specific branch
stagereview --base main --ref work
# 4. Directly import a specific GitHub Pull Request and review it chapter by chapter
stagereview --pr 42
```🧬 Bio Use Cases
Reconstructing the Logical Review Flow for Large-Scale Code Changes Generated by AI
Invoke the `stagereview --base main` command for a refactoring diff consisting of 30 files and 1,200 lines generated by an AI agent. Cluster the changes into 4 semantic 'chapters' and interactively validate and proactively prevent bugs within 3 minutes in a local browser UI.
Automatically Generate Pull Request Descriptions by Integrating with AI Coding Agents
Add the `ReviewStage/stage-cli` skill to the local agent workflow and run `/stage-chapters` to automatically obtain the chapter structure. Based on this, generate a PR body summary containing the narrative of the changes in 5 seconds, maximizing the understanding of the code reviewer.
Validating the Migration History of a Bioinformatics Analysis Pipeline
Scan the staged/unstaged changes that occurred during the C++ porting process of a Python-based DNA sequencing pipeline using `stagereview --ref work`. Logically classify the complex and intertwined input/output stream modifications on a module-by-module basis, reducing migration validation time by 50%.
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