ReviewStage/stage-cli — A viewer for reviewing local code changes in small individual chapters.

Description and use

**Brief summary (2‑3 sentences)**
ReviewStage / stage‑cli is a TypeScript‑based CLI tool that lets developers inspect local code changes chapter‑by‑chapter and run them through any AI agent for automated review. It streamlines the addition of AI‑driven feedback, RAG pipelines, or custom agent workflows without having to build a model stack from scratch, making it a handy utility for prototyping and internal tooling.

**Value proposition**

• **Plug‑and‑play AI review** – By abstracting the interaction with an AI agent, stage‑cli lets teams add intelligent code‑review capabilities instantly, saving the effort of wiring up LLM APIs, prompt engineering, and result handling.
• **Modular, language‑agnostic** – Because it works on any local codebase and only requires a command‑line interface, it can be dropped into existing CI/CD or developer workflows without major refactoring.
• **Accelerates prototyping** – Teams can quickly prototype RAG or agent‑based features (e.g., “explain this change”, “suggest tests”, “detect security issues”) and iterate on prompts before committing to a full‑scale model deployment.

**Practical adoption path**

| Step | Action | Reason |
|------|--------|--------|
| 1️⃣ | **Run the README‑guided proof of concept** on a small repo | Confirms that the CLI works with your preferred LLM provider and that the output meets your expectations. |
| 2️⃣ | **Integrate into a pre‑commit or CI stage** (e.g., via npm run stage-review) | Provides immediate, automated feedback to developers without changing their workflow. |
| 3️⃣ | **Wrap with custom scripts or a wrapper service** to add project‑specific prompts, logging, or result aggregation | Turns the generic CLI into a reusable internal tool that aligns with your organization’s standards. |
| 4️⃣ | **Add monitoring and fallback** (e.g., rate‑limit calls, fallback to local linting) | Mitigates cost overruns and handles API outages. |
| 5️⃣ | **Gradual rollout** to larger codebases or as a gated feature for specific teams | Allows you to collect usage data, refine prompts, and verify security/license compliance before full production use. |

**Production readiness** – **Medium**. The project is actively maintained (last update 2026‑05‑14), has a modest but healthy community (167 ⭐, 8 forks) and is written in TypeScript, which eases integration into modern JavaScript/Node ecosystems. For production use you should still:

1. **Validate the license** (ensure it matches your organization’s policy).
2. **Perform a security audit** of the dependencies (especially any LLM client libraries).
3. **Set up observability** (logging, error tracking) around the CLI calls.
4. **Define governance** for prompt content and model usage to avoid data‑leak or compliance issues.

Once those checks are in place, stage‑cli is a solid foundation for internal AI‑augmented code‑review pipelines and can be scaled to production with minimal friction.

Problem

ReviewStage/stage-cli helps add AI capability without starting from a blank model stack.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

A viewer for reviewing local code changes in small individual chapters. Works with any AI agent.

Source