ce-agent-native-audit

An agent-native architecture audit reviews multi-agent ecosystems across eight core principles to produce a scored report. It automates principled evaluation to identify architectural gaps and deliver actionable recommendations.

An agent-native architecture evaluation includes parallel checks across eight core principles to produce a quantified performance snapshot. It identifies architectural gaps and generates actionable recommendations within a scored report.

Yes, agent-native audits are designed for large codebases with multi-agent ecosystems. The evaluation applies parallel principle checks and cross-component analysis to handle complex, multi-faceted architectural reviews.

You identify gaps by running a structured audit that scores your architecture against eight core principles. This automated review highlights specific deficiencies and provides actionable recommendations for improvement.

The best way to generate a scored report is using a structured audit that applies parallel principle checks to your multi-agent ecosystem. This produces a quantified performance snapshot with actionable gaps and recommendations.