agent-native-audit

Agent-native architecture audits evaluate implementation gaps across principles like Action Parity, Context Injection, and CRUD Completeness. This generates a structured, scored report to guide concrete remediation and refactoring efforts.

Agent-native architecture scoring applies a multi-principle evaluation to your codebase, assessing factors like Tools as Primitives and Capability Discovery. It generates per-principle scores and an overall composite score to objectively measure implementation maturity.

Generate structured audit reports by running multi-principle evaluations across your repository. This produces per-principle scores, an overall composite score, and guided remediation recommendations to prioritize tooling and architectural changes.

Yes, the agent-native architecture audit supports parallel sub-agent workflows during the evaluation process. This allows simultaneous assessment of multiple principles like UI Integration and Prompt-Native Features to generate the final synthesis efficiently.

Automated architecture audit scoring provides objective per-principle evaluations but relies on applying generalized criteria to specific codebases. The resulting remediation guidance should be contextualized within your team's specific tooling and governance constraints.