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Ray's Galactic Tech
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Ray's Galactic Tech

Practice together, never alone. We cover programming languages, development tools, learning methods, and pitfall notes. We simplify complex topics, guiding you from beginner to advanced. Weekly practical content—let's grow together!

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Recent Articles

Latest from Ray's Galactic Tech

100 recent articles max
Ray's Galactic Tech
Ray's Galactic Tech
Apr 27, 2026 · Artificial Intelligence

Using AI to Auto‑Generate Forms: Production‑Ready Low‑Code Form Generation with Spring AI Alibaba ReactAgent

The article presents a production‑grade solution that lets users describe a form in natural language, then uses a Spring AI Alibaba ReactAgent powered by a ReAct reasoning loop to retrieve templates, validate fields, generate layout, enforce governance, and finally emit a versioned JSON schema ready for deployment.

ReActReactAgentSpring AI
0 likes · 29 min read
Using AI to Auto‑Generate Forms: Production‑Ready Low‑Code Form Generation with Spring AI Alibaba ReactAgent
Ray's Galactic Tech
Ray's Galactic Tech
Apr 26, 2026 · Backend Development

Dissecting MCP Protocol: Scaling Java Microservices for AI‑Native Tooling

This article analyzes the Model Context Protocol (MCP), detailing its architecture, JSON‑RPC extensions, Streamable HTTP transport, and governance layers, and demonstrates how to transform high‑traffic Java microservices into a secure, observable AI‑native capability layer using an independent MCP gateway, tooling standards, and production‑grade implementations.

AI-nativeJavaMCP
0 likes · 46 min read
Dissecting MCP Protocol: Scaling Java Microservices for AI‑Native Tooling
Ray's Galactic Tech
Ray's Galactic Tech
Apr 25, 2026 · Artificial Intelligence

Mastering Spring AI MCP: Bidirectional Communication, Four Providers, Sampling Callbacks, and Dual‑Mode Deployment

This article explains why traditional function‑calling is insufficient for production AI services and shows how Spring AI's Model Context Protocol (MCP) introduces bidirectional communication, addressable resources, parameterized prompts, tool orchestration, and server‑initiated sampling, providing a complete roadmap to build a production‑grade AI microservice architecture.

AIJavaMCP
0 likes · 37 min read
Mastering Spring AI MCP: Bidirectional Communication, Four Providers, Sampling Callbacks, and Dual‑Mode Deployment
Ray's Galactic Tech
Ray's Galactic Tech
Apr 24, 2026 · Backend Development

From Bottlenecks to a High‑Concurrency Medical Assistant with LangChain4j

This guide details how to design and implement a production‑grade, high‑concurrency medical AI assistant using LangChain4j, Spring Boot, Redis, and Kubernetes, covering architecture, RAG‑enhanced retrieval, controlled tool invocation, guardrails, idempotent transactions, scaling strategies and observability to ensure reliable, compliant patient interactions.

High ConcurrencyLangchain4jMedical AI
0 likes · 33 min read
From Bottlenecks to a High‑Concurrency Medical Assistant with LangChain4j
Ray's Galactic Tech
Ray's Galactic Tech
Apr 24, 2026 · Backend Development

Self‑Healing Agents: Rebuilding a High‑Concurrency Travel System with Spring AI ReAct

This article details how a legacy travel‑booking service was transformed into a production‑grade, self‑healing agent system using Spring AI ReAct and multi‑tool coordination, covering architectural redesign, tool governance, error semantics, high‑concurrency safeguards, observability, security, and real‑world performance gains.

AgentHigh ConcurrencyReAct
0 likes · 31 min read
Self‑Healing Agents: Rebuilding a High‑Concurrency Travel System with Spring AI ReAct
Ray's Galactic Tech
Ray's Galactic Tech
Apr 23, 2026 · Artificial Intelligence

From Black‑Box to Explainable: Cloud‑Native AI Demand Engineering for Life‑Insurance

This guide explains why life‑insurance AI must move beyond black‑box recommendations, outlines eight production‑grade requirements, and presents a cloud‑native architecture that combines GraphRAG, rule engines, AI orchestration, observability, security, and Kubernetes to deliver explainable, auditable underwriting decisions.

Artificial IntelligenceInformation Securitybackend development
0 likes · 37 min read
From Black‑Box to Explainable: Cloud‑Native AI Demand Engineering for Life‑Insurance
Ray's Galactic Tech
Ray's Galactic Tech
Apr 23, 2026 · Backend Development

Stop Treating LLMs as 'All‑Purpose Tools': Practical Spring AI Multi‑Agent Architecture for Production

This article analyses why a single‑agent LLM approach quickly hits scalability, context, and governance limits, and presents a production‑ready Spring AI Multi‑Agent design—including layered architecture, agent metadata, skill engineering, routing strategies, orchestration, resilience, A2A service discovery, Kubernetes deployment, observability, security, and cost‑control—backed by concrete Java code examples.

A2AJavaKubernetes
0 likes · 38 min read
Stop Treating LLMs as 'All‑Purpose Tools': Practical Spring AI Multi‑Agent Architecture for Production
Ray's Galactic Tech
Ray's Galactic Tech
Apr 22, 2026 · Cloud Native

Solving K8s Stateful App Storage Pain: Production-Ready Longhorn + MySQL StatefulSet

This article dissects the challenges of running MySQL as a stateful workload on Kubernetes, explains why storage, consistency, and fail‑over are the real pain points, and provides a production‑grade solution that combines Longhorn distributed block storage with a carefully engineered MySQL 8.0 StatefulSet, complete with YAML manifests, performance tuning, backup strategies, and disaster‑recovery playbooks.

KubernetesLonghornMySQL
0 likes · 50 min read
Solving K8s Stateful App Storage Pain: Production-Ready Longhorn + MySQL StatefulSet