kestrel-mcp-audit-codebase

A structured codebase audit identifies gaps, risks, dead code, and non-idiomatic patterns through a stepwise workflow of scope definition, baseline reading, read-only scanning, finding categorization, and formal reporting. This process surfaces hidden issues to drive RFC-driven remediation.

Discovering non-idiomatic patterns in a sizable codebase requires a read-only scanning workflow that categorizes and deduplicates findings. This approach assesses risks and generates formal reports with remediation suggestions and RFC proposals for improvement.

To avoid re-reporting known gaps during static analysis, align the audit with existing AUDIT.md or AUDIT_V2.md documents. This knowledge capture and reuse mechanism ensures scanning focuses on newly introduced risks rather than previously identified baseline issues.

Yes, this codebase audit workflow generates actionable outputs including remediation suggestions, risk prioritization, and formal RFC proposals. It translates categorized findings from read-only scanning into structured improvement proposals suitable for codebase remediation.

This static analysis approach is applicable to MCP-style and other sizable codebases where baseline audits and risk assessment are required. It handles complex environments by structuring the audit through scope definition, baseline reading, and formal reporting.

A read-only scanning audit for gap discovery is limited to identifying and reporting risks, dead code, and non-idiomatic patterns without modifying the codebase. It produces formal reports and RFC proposals but requires separate remediation efforts to implement the suggested improvements.