AI Audit Kit
A portable .audit standard: turns AI code audit, triage, and bulk fixes into a reproducible pipeline with artifacts instead of chat sessions.
SOURCE: MANUAL README
AI Audit Kit
Portable framework for AI-agent-driven code auditing and automated bug fixing.
AI Audit Kit takes the practice of large-scale AI auditing out of ad hoc mode and into a repeatable process. The project defines a portable .audit framework: a standard for describing findings, a tracking dashboard, a fix-pipeline guide, and an orchestration approach for batch-by-batch defect remediation.
What the project provides
- turns findings from chat history into proper markdown artifacts;
- separates audit, triage, fix, and review into independent phases;
- supports an independent review loop after each batch;
- makes bulk bug fixing observable and reproducible.
Proven on a large closed multi-repo project with hundreds of discovered defects; in effect, the ancestor of the methodology used in developing Protocore.
Detailed breakdown and practical application: AI Audit Kit: a reproducible standard for AI auditing of large codebases
Repository: github.com/ascorblack/ai-audit-kit