#Spring AI
22 related articles
Tutorials·2 min
How AI Coding Skills Work: From Function Call to Sub-Agent Implementation
Deep dive into how AI coding Skills work: from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.
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Tutorials·2 min
How AI Coding Skills Work: From Function Call to Sub-Agent Implementation
Deep dive into how AI coding Skills work technically, from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.
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Tutorials·1 min
Spring AI Alibaba Agent Framework: Three-Layer Architecture and Learning Path
Deep dive into Spring AI Alibaba Agent Framework's three-layer architecture: Spring AI foundation, Graph framework, and Agent Framework, with a recommended learning path for Java developers.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Spring AI + MCP Protocol in Practice: Tool Calling, Security Authentication, and Enterprise Deployment
Deep dive into Spring AI and MCP protocol integration, covering tool calling, OAuth security, horizontal scaling, and context optimization for enterprise AI Agent services.
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Deep Dives·4 min
Deep Dive into Cursor Skills: From Function Call to Practice
Deep dive into Cursor Skills' underlying principles, from Function Call and MCP protocol to Workflow Agent, with Spring AI Alibaba practical demo for any LLM.
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Tutorials·3 min
Spring AI Alibaba MCP Integration in Practice: Full Workflow from Server Setup to Client Invocation
Learn how Java developers can build MCP Server and Client using Spring AI Alibaba, define tools with @Tool annotations, and integrate with AI clients like Trae for LLM-powered business data access.
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Tutorials·3 min
Spring AI Agent Utils: A Java Agent Toolkit Reverse-Engineered from Claude Code's Core Features
Deep dive into Spring AI Agent Utils toolkit covering Skill modules, Ask a User Question, To Do Write, Auto Memory, and multi-Agent orchestration — empowering Java developers to build powerful AI Agents.
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Tutorials·3 min
The Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
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Tutorials·3 min
Getting Started with Spring AI: How Java Developers Can Integrate Large Language Models
Spring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
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Tutorials·2 min
MCP Protocol Beginner's Guide: AI Model Context Protocol Architecture & Practical Integration
A detailed guide to MCP (Model Context Protocol) covering its three-layer architecture, ecosystem marketplace, and practical integration for connecting AI models with external tools.
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Tutorials·3 min
Spring AI Getting Started Tutorial: Environment Setup, Version Requirements & Core Concepts Explained
Spring AI getting started guide covering JDK 17 setup, Spring Boot 3.4 requirements, core concepts like Chat Completion and Tokens, helping Java developers quickly build AI applications.
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Tutorials·2 min
Spring AI in Practice: Building a Text-to-SQL Agent Tool Chain from Scratch
Build a Text-to-SQL assistant using Spring AI Alibaba Agent Framework with a four-step Tool chain, plus solving ThreadLocal failures in stream mode with RunnableConfig.
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Tutorials·2 min
Spring AI 2.0 in Practice: Build a RAG Knowledge Base Q&A System in One Hour
Build a RAG enterprise knowledge base Q&A system from scratch using Spring AI 2.0 and Cursor AI. Covers Ollama local LLM deployment, Redis vector database, document parsing, vectorization, and intelligent retrieval.
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Tutorials·2 min
Java Developers Transitioning to AI/LLM: Essential Skills and Practical Guide for 2025
How can Java developers transition to AI/LLM? This guide covers 10 core skills including Spring AI, LangChain4j, RAG, and DeepSeek API integration with practical tips.
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Product Reviews·3 min
PaiAgent: A Lightweight AI Workflow Orchestration System Built with Vibe Coding
Deep dive into PaiAgent, a lightweight AI workflow orchestration system built with Spring AI and LangGraph4J. Explore its DAG engine design, differentiation from Dify/n8n, and Vibe Coding development insights.
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Tutorials·4 min
Java Developers Transitioning to AI: A Practical Path to a 50% Salary Increase When Switching Jobs
Java+AI roles offer 30%-60% salary premiums in 2026. Learn how Java developers can master LLM skills, Spring AI, and AI tools to land higher-paying jobs.
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Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
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