zen-comprehensive-review

A multi-model code review orchestrates three different AI models to analyze your codebase, ensuring comprehensive coverage by cross-referining findings for security and quality issues before posting them directly to your GitHub PR.

Yes, you can run automated code analysis locally instead of on a pull request. Local code review mode analyzes your codebase and outputs the multi-model findings directly to your local environment without requiring a GitHub integration.

Using multiple models for security review provides thorough coverage by cross-referencing different AI perspectives. This multi-model approach helps identify diverse security vulnerabilities and code issues that a single model might miss.

You can start a comprehensive code analysis by running the command `zen comprehensive review` in your environment. This initiates the multi-model review process across your local code or GitHub pull requests.

Yes, multi-model code review works with both local environments and GitHub PRs. It supports flexible review modes, allowing you to either output findings locally or post them automatically to a GitHub pull request.

Automated GitHub PR code review depends on proper GitHub integration for posting findings. While it uses three models for thorough coverage, you must choose between local output and PR posting modes, which may require context switching depending on your workflow.