Multi-Agent

Part 1: Swarm Topologies — Hierarchical Routers vs. Shared Blackboards

← Previous Chapter: Executive Summary | Series Hub | Next Chapter: Part 2: Hierarchical Memory → Answer-first: For enterprise workflows with deterministic SLAs, Hierarchical Router-Worker architectures provide predictable task decomposition and strict failure isolation. Shared Blackboard patterns excel in open-ended collaborative research but require strict concurrency locking to prevent state corruption.

Part 4: Building a Multi-Agent AI Code Review Pipeline

← Previous Chapter: Part 3: The AI Bug Taxonomy | Series Hub | Next Chapter: Part 5: AI Code Security → Answer-first: A multi-agent PR review pipeline deploys 3 specialized LLM agents in parallel: (1) Security Agent (OWASP vulnerabilities), (2) Architecture Agent (DDD layer boundary compliance), and (3) Performance Agent (SQL queries, memory allocations).

Part 8: Grand Finale — Event-Driven Multi-Agent System Architecture

Answer-first: The Grand Finale of the AI-Driven Playbook unites every foundational concept—Domain-Driven Design context boundaries, Private Gateways, MCP 2.0 tool meshes, SARIF review gates, and OpenTelemetry observability—into an Event-Driven Multi-Agent Architecture. By decoupling agents via asynchronous message buses (NATS JetStream / Kafka) rather than synchronous REST APIs, enterprises eliminate cascade deadlocks and achieve fault-tolerant agentic scale. 📖 Bản tiếng Việt (Vietnamese Edition) | ← Series Hub 1. From “Vibe Coding” to Spec-Driven Quality Engineering As we conclude this 14-chapter journey across the AI-Driven Playbook 2026, the industry stands at a clear fork in the road: ...