Portfolio Operations / Guarded Automatic Delivery

Portfolio Maintenance

Noon Europe/Berlin rotation. Bounded offline model proposals, executed tests and protected automatic delivery. Only exact-SHA changes passing every independent check can merge. Outcomes below come from published evidence, not a green badge alone.

Seven callers active / real pilot verified 12:00 Europe/Berlin / one selected project Guarded automatic merge / no routine approval Workload concurrency is reported, not assumed GitHub Repository

Published Maintenance Outcomes

Fetching actual project evidence...

ProjectBerlin dateOutcomeExecuted suite / integrationMeasured workloadEvidence

A rejected, blocked or no-safe-change result is not a claimed improvement. Serial regression journeys are not simultaneous users. Automated model review is not independent human pentest certification.

Actual isolated model-runtime verification · Policy and operations

Daily Unattended Trigger
09:00 AM
GitHub Actions Cron + Local Task
Stage 1 TDD Unit Gate
18 / 18
RED → GREEN → REFACTOR Enforced
Stage 2 Integration Gate
12 / 12
API + SQLite + SHA-256 Verified
1,000-User Post-Fix Errors
0
Down from 68 pre-hardening errors

7-Day Automated 09:00 AM Project Rotation Schedule

Every morning at 09:00 AM, the scheduler selects the day's project, runs the 5-stage TDD, Integration, Pentest, Improvement, and 1,000-User simulation pipeline, and publishes verified artifacts.

Day Scheduled Time Project ID Primary Stack Engineering Focus TDD Gate 1,000-User Post-Fix Errors

Stage 1 (TDD Unit Gate) & Stage 2 (Integration Gate) Evidence

Stage 3: Red-Team Security & Pentest Agent Findings

The Pentest Agent attacks the selected project across 8 adversarial vectors (ATK-01 SQL/FTS5 injection, ATK-02 RBAC escalation, ATK-03 SHA-256 digest forgery, ATK-04 1,000-user SQLite lock contention, ATK-05 payload DoS, ATK-06 XSS/control-byte injection, ATK-07 clock skew, and ATK-08 HTTP security headers).

Stage 4: Point-by-Point Pentest Agent ↔ Improvement Agent Remediation Transcript

Every weakness uncovered by the Pentest Agent is handed to the Improvement Agent, which implements the architectural fix following TDD and logs the exact code target and regression test.

Stage 5: 1,000-Virtual-User Concurrency & Multi-Step Flow Simulation

Simulates 1,000 concurrent users (3,000 total workflow step requests) across 5 realistic personas, comparing system behavior Before Hardening vs. After Improvement Agent Hardening.

Per-Persona 1,000-User Flow Breakdown

Virtual User Persona Users Total Step Requests Pre-Hardening Failures Post-Hardening Failures Mean Latency P95 Latency Executed Multi-Step Flow