Multi-Agent Parallel Code Review FAQs

Question 1

How does parallel review save time compared to standard reviews?

Accepted Answer

By launching three specialized subagents simultaneously in a single message dispatch rather than running them sequentially, you receive comprehensive feedback 3x faster while maintaining full coverage.

Question 2

When is the most effective time to trigger a code review?

Accepted Answer

It is best triggered after completing a major feature, after finishing a task in subagent-driven development, or as a final gate before merging a branch to the main codebase.

Question 3

Why is the Opus model mandatory for this skill?

Accepted Answer

The Opus model is required because its superior reasoning capabilities are necessary for deep domain understanding, architectural analysis, and identifying complex security vulnerabilities.

Question 4

What happens if the AI reviewers find issues in my code?

Accepted Answer

Issues are categorized by severity. Critical, High, and Medium issues require immediate fixes and a re-run of the review, while Low and Cosmetic issues are handled via standardized TODO and FIXME comments.

Question 5

Can I customize which reviewers are dispatched?

Accepted Answer

Yes. While the default is to use all three for maximum safety, you can use subsets for specific tasks, such as using only the code-reviewer for documentation or configuration updates.

Multi-Agent Parallel Code Review

Multi-Agent Parallel Code Review

주요 기능

사용 사례

주요 기능

사용 사례