review

Automating code review involves orchestrating a multi-agent process against a structured checklist to verify spec compliance, coding standards, and security vulnerabilities. This generates a detailed report with categorized findings and severity levels.

Managing false positives during code review requires predefined rules and mechanisms to avoid flagging common patterns or intentional design choices. The system filters these out so the structured report focuses only on genuine vulnerabilities and standard violations.

A multi-agent code review process handles TDD adherence by systematically checking the submitted code against testing standards. It evaluates test coverage and testing practices, including the results in a structured review report with defined severity levels for any deviations.

Yes, you can prioritize code review findings by using clearly defined severity levels and categories. This categorization allows the multi-agent system to structure the final report, helping developers address critical security vulnerabilities and standards violations before minor issues.

Systematic code review relies heavily on predefined coding standards and a structured checklist to function effectively. Without these references, the multi-agent process cannot accurately evaluate spec compliance, security vulnerabilities, or TDD adherence to generate a meaningful findings report.