What problem does it solve? It gives teams a systematic, evidence-backed way to measure production code quality across an entire codebase, replacing ad-hoc reviews with a consistent 40-gate checklist, anti-pattern catalog, and prioritized fix plan. ## Core Features & Use Cases - Batch quality triage: Scans all production files (or a scoped path, services, or controllers) and classifies each into Tier A/B/C/D based on CQ1-CQ40 gate scores and CAP1-CAP29 anti-patterns. - Tool-verified findings: Uses CodeSift tools (audit_scan, find_dead_code, find_clones, scan_secrets, empty-catch pattern search) to produce deterministic HIGH-confidence findings with file:line citations. - Stack-aware analysis: Activates framework-specific audits for TypeScript, Python, PHP, Kotlin, NestJS, Next.js, Astro, React, Django, FastAPI, Prisma, and more. - Use Case: Before a major release, run a full-project audit to flag hardcoded secrets, SQL injection risks, dead code, and duplication, then receive a prioritized execution plan ordered by risk. ## Quick Start Ask the AI to run a code audit on the whole project with "audit all production files and give me the tier report and prioritized fix plan".