Facilitating dynamic peer reviews among AI coding agents.
Project details
ModelPeer enables collaborative reviews between AI coding agents like Claude Code, OpenAI Codex, and Google Gemini. Each agent acts as a read-only reviewer, providing independent feedback without overlapping influences. This ensures that your engineering decisions are backed by diverse perspectives, enhancing code quality and reliability.
ModelPeer is an innovative tool designed to facilitate cross-model peer reviews among coding agents such as Claude Code, OpenAI Codex CLI, and Google Gemini CLI. This unique framework allows these independent models to consult with one another as read-only engineering peers—enhancing the code review process by incorporating diverse insights without the models influencing each other's conclusions.
To make use of ModelPeer, users can run commands such as:
model-peer ask codex "Review this authentication design for bypasses"
model-peer review
This allows for targeted questions to specific models and facilitates a thorough review of code changes across all installed models.
Coding agents do have the capability to review their work; however, inherent biases may limit the effectiveness of self-reviews. ModelPeer expands the review process by distributing the task across multiple agents, ensuring that each model independently evaluates the code changes. The synthesis of these reviews by the tool provides a robust output driven by multiple viewpoints.
A simplified representation of the review process:
+--> Claude --+
| |
git changes --+--> Codex ---+--> synthesis
| |
+--> Gemini --+
This framework ensures that each model operates in parallel, making the overall review less time-consuming.
ModelPeer is designed with safety in mind. Each peer consultation operates under strict permissions to prevent unauthorized actions. Models are executed in read-only modes without any editing capabilities, ensuring that user data and project integrity are preserved throughout the review process.
Users can utilize several commands for enhanced functionality:
model-peer ask <claude|codex|gemini> "<focused question>" # consult with one peer
model-peer review ["focus instructions"] # conduct cross-model review
model-peer init <claude|codex|gemini|all> # install skills for agents
model-peer update [--check] # refresh agent skills
model-peer trust # allow Geminito load skills
model-peer doctor [--probe] # setup verification
Feedback and contributions are encouraged within the ModelPeer community. Discussions around usage, features, and potential improvements can be found in the GitHub Discussions. Security vulnerabilities should be reported through the appropriate channels to ensure safety for all users.
For further reading, users can visit the documentation provided at Documentation to find more detailed information about usage, installation, and safety.
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