AI_orchestrator

Multi-persona Round-Table mit domain-aware Personas (LLM wählt 4–6 themenspezifische Rollen); iterative Cross-Pollination bis TF-IDF-Konvergenz; Synthesizer ranked Top-N mit Pro/Contra

Research → Execute → Dual-Review Loop (Code Quality + Issue Resolution) bis beide Reviews bestanden

Multi-agent deep security audit — 6 expert personas (pentester, architect, code auditor, supply chain, data privacy, forensics) + CISO synthesis + optional fix implementation

Radical-honesty architectural review — questions code, methodology, design, and operational fitness

Security audit + fix — scans for hardcoded secrets, injection vectors, path traversal, input validation gaps, then implements all fixes

Cross-Domain Know-How-Transfer — findet kreative Anwendungen von Vault-Expertise in anderen Branchen

Deep Research + Fragen-Katalog vor Implementierungsbeginn

Iterative code review — fix all P1/P2/P3 findings until clean

Run tests, fix failures, re-run until all tests pass