ReviewChain is a lightweight command-line tool that automates code review using large language models (LLMs). Unlike existing tools that perform review tasks in isolation, ReviewChain models code review as an iterative, multi-stage pipeline, enabling comments, refinements, and quality assessment to inform each other through explicit feedback.
ReviewChain is not a code generation assistant. Instead, it targets a largely underserved part of the development workflow: iterative code review of existing changes. It focuses on helping developers review, refine, and improve code after it is written, closely mirroring real-world human review practices.
Code review is essential but time-consuming. Developers often spend significant effort writing review comments, revising code, and validating changes, especially for small or repetitive issues.
Target users:
-
Software developers
-
Open-source contributors
-
Teams seeking faster, more consistent code reviews
-
Researchers exploring multi-agent LLM systems for software engineering
The main advantages of Review Chain over similar tools include:
-
Free and open-source usage.
-
Lightweight design, using small, task-specific LLMs with reasonable computational requirements.
-
Customizable, allowing modification and adaptation for specific projects or workflows.
-
Secure for personal projects, with no concerns about data leakage due to its open-source nature.
-
Easy Git integration, connecting to GitHub through system credentials without additional configuration steps.
ReviewChain decomposes code review into four structured stages:
-
Review Comment Generation: identifies issues and suggestions
-
Comment Format Validation: ensures comments are clear and actionable
-
Code Refinement: applies feedback to improve the code
-
Quality Estimation: decides whether further refinement is needed
These stages are connected through an explicit feedback loop, allowing the system to improve outputs across multiple rounds.
Each stage is handled by a specialized LLM, making the system:
-
Easier to extend or replace components
-
More interpretable than monolithic approaches
-
Well-suited for experimentation and research
ReviewChain runs locally and integrates easily with Git repositories. A single command triggers the full review pipeline.
After cloning the repository, run the following command inside your virtual environment to install the package:
pip install .You can run ReviewChain using the following command:
reviewchain --path "path/to/target/file" --branch "target-branch-name"Attention: The target file must already exist in your Git repository.