requesting-code-review

To automate a code review, you can dispatch a code-reviewer subagent to verify code implementations against project plans and requirements. This facilitates quality assurance by acting as a pre-merge check for your development workflow.

The subagent performs differential analysis by using git commands to identify the base and head commit SHAs. It then verifies the code changes between these commits against the original project plans and requirements.

An automated code review should be run at critical points in your development workflow such as task completion, feature implementation, and before merging. This ensures code quality and catches potential issues early in the cycle.

Yes, you can use this code review skill to have an AI reviewer check your new authentication module against design specifications. It specifically verifies code implementations against project plans and requirements before merging.

The best way to integrate AI quality assurance is to dispatch a code-reviewer subagent that checks code implementations against project plans. This automates pre-merge checks and maintains code quality in subagent-driven development.