Multi-agent code review dispatches a change to several generators or agents tuned for different languages, risk types, costs or performance targets. The system combines their outputs before presenting them to an engineer.
Multiple reviewers can improve coverage but also create repeated or contradictory comments. A dependable review layer rates, categorizes, filters and deduplicates findings and measures their value against real engineering actions.
Acronyms and aliases
multi-agent AI code review acronym
General terms
Related terms
Frequently asked questions
Why use several agents for code review?
Specialized agents can examine different risks or code types and provide broader coverage than one general reviewer.
How are multi-agent review findings combined?
A central service can score, categorize, filter and deduplicate comments before sending the remaining findings to an engineer.
