AI OPERATIONS

SABO AI Operations Pod — 23-Agent Fleet Under Governed SDLC.

Production case study detailing the operation of a 23-agent autonomous engineering fleet across SABOHUB, SABO Arena, and SABO Media. Documents notification decoupling, watchdog diagnostic overhaul, and strict PR-to-merge verification gates.

sabo.com.vn
SABO AI Operations Pod

KẾT QUẢ ĐO LƯỜNG

23
Agent Profiles
≥75/day
Owner Alert Flooding (Pre-26/09)
266
False Watchdog Alerts Resolved

TỔNG QUAN

Case study documenting the operational architecture, notification decoupling, and human-in-the-loop controls developed to run a 23-agent fleet across SABOHUB, SABO Arena, and SABO Media.

MỤC TIÊU

  • 01Eliminate notification fatigue and rate-limit exhaustion from uncoordinated agent polling loops
  • 02Enforce non-negotiable software delivery lifecycle (PR, automated CI, independent review, CTO merge gate)
  • 03Implement defense-in-depth security with strict approvals.deny rules preventing unauthorized financial mutations and data destruction

TÁC ĐỘNG

  • Decoupled 2 heavy polling loops from uncontrolled Telegram push to local logs and human-gated queue
  • Overhauled ops-check watchdog to eliminate 266 false-alarm DOWN runs and monitor real gateway health
  • Established verified PR → CI → review → merge pipeline with 100% traceable git commits and exit codes

TÍNH NĂNG CHÍNH

01

Decoupled Notification Architecture

  • Switched repetitive polling loops from Telegram push to local logging and human-gated owner queue
  • Widened polling frequency from 30m to 2h during business hours to protect LLM quota
  • Separated routine machine telemetry from actionable human executive decisions
02

Strict SDLC & Verification Gates

  • Isolated worktree branches for every task; direct push to main and automated merges strictly forbidden
  • Mandatory verification with real CLI exit codes (typecheck, lint, unit, integration)
  • Independent peer/agent review required for high-risk, auth, or schema changes before CTO sign-off
03

Security & Financial Guardrails

  • approvals.deny configured across all 23 profiles to block destructive database mutations
  • Financial mutations restricted to idempotent writes with original transaction receipts
  • Read-only PostgREST policies for reporting roles with human-in-the-loop approval queues

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