Part 6: From Coder to Orchestrator — Multi-Agent Swarms, Model Context Protocol (MCP 2.0) & Workflow Systems

Prerequisite: Understanding of distributed event loops, JSON-RPC 2.0 specifications, DAG-based task execution, and Model Context Protocol (MCP) primitives. Answer-first: The senior engineer role transforms from solo code author into high-leverage AI System Orchestrator directing specialized multi-agent swarms. Orchestrators decompose monolithic epics into isolated tasks, coordinate agents through Model Context Protocol (MCP 2.0) interfaces, and enforce deterministic state machines. Success requires designing robust prompt contracts, managing tool execution budgets, and preventing cascading inter-agent hallucination loops. ...

Tech Radar: Kratos v2.9 & Dapr 1.15: Virtual Actors, Distributed Workflows & Resilience Patterns for High-Throughput Microservices in Go 1.25

Tech Radar: Kratos v2.9 & Dapr 1.15: Virtual Actors, Distributed Workflows & Resilience Patterns for High-Throughput Microservices in Go 1.25 Answer-First: Building high-throughput microservices capable of exceeding 150K RPS requires decoupling business domain logic from distributed infrastructure complexity. Go 1.25 combined with Kratos v2.9 establishes strict Clean Architecture boundaries with zero database leakage, while Dapr 1.15 offloads virtual actor concurrency, durable workflow sagas, and state resilience to high-performance localhost sidecars, reducing distributed coordination latency by 68% and eliminating manual mutex deadlocks. ...