ce-agent-native-audit

An agent-native architecture audit analyzes your codebase against core principles like Action Parity, Context Injection, and CRUD Completeness to surface compliance gaps, generating per-principle scores and concrete improvement recommendations.

Agent-native architecture structures codebases around principles like Tools as Primitives, Shared Workspace, and Capability Discovery. You need an audit when managing large codebases with multiple agents, prompts, and data stores to ensure proper architecture governance and identify compliance gaps.

Scoring agent-native principles across a large codebase requires running parallel audits across eight specific principles including Action Parity, Tools as Primitives, and Prompt-Native Features. The audit generates a structured report with per-principle scores and prioritized remediation actions.

Yes, you can audit large codebases containing multiple agents, prompts, and data stores. The audit evaluates agent-native principles in parallel, producing a human-readable report that highlights strengths, gaps, and concrete recommendations to improve architecture governance.

The best way to generate improvement recommendations is running a parallel principle audit across Action Parity, Context Injection, and CRUD Completeness. This produces a structured, human-readable report with per-principle scores and prioritized actions for remediation.

When auditing agent-native architecture in complex codebases, limitations may arise if the repository lacks multiple agents, prompts, or data stores. The audit is designed for large codebases requiring architecture governance, so smaller projects may yield less actionable per-principle scores and recommendations.