#Spring AI Alibaba
90 related articles
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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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 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
LangGraph Multi-Agent Architecture: Core Principles and Enterprise-Level Implementation Guide
Deep dive into LangGraph multi-agent architecture covering Graph structure principles, MCP service integration, Time Travel debugging, and supervised multi-agent enterprise implementation patterns.
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Tutorials·3 min
Enterprise Multi-Agent Development: Low-Code Platforms vs. Hand-Written Code — An In-Depth Comparison
In-depth comparison of two enterprise multi-agent development approaches: low-code platforms like Dify vs. hand-written code with LangGraph. Covers efficiency, flexibility, security, and prompt injection defense strategies.
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Tutorials·3 min
LangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
Deep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.
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Tutorials·2 min
Frontend to AI Full-Stack: Complete Skill Tree & Learning Roadmap
A complete skill tree for frontend developers transitioning to AI full-stack engineers, covering TypeScript, NestJS, LangChain JS, RAG, vector databases, and Tauri 2 with a clear learning roadmap.
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Tech Frontiers·2 min
AI Weekly: GPT-6 Codenamed Spud Revealed, Claude Conway Agent, DeepSeek V4 Shifts to Huawei Chips
This week in AI: OpenAI's next-gen base model Spud (GPT-6) targets Spring 2026, Anthropic builds persistent agent Conway, Cursor 3 rebuilds the IDE for agents, DeepSeek V4 runs natively on Huawei chips, and Qwen 3.6 and Gemma 4 lead open-source.
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Tutorials·2 min
NestJS + LangChain + Tauri 2: A Practical AI Full-Stack Development Solution
An enterprise AI full-stack solution using NestJS, LangChain, LangGraph, and Tauri 2, covering AI service platforms, multi-agent orchestration, RAG, and cross-platform delivery for frontend developers.
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Tutorials·3 min
Full-Stack Development for Beginners in the AI Era: Don't Write Code — Learn to Manage It
AI coding tools make code generation easy, but a huge gap remains between code and product. This article breaks down frontend, backend, and DevOps stacks, exploring how beginners can manage code with AI.
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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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Expert Opinions·2 min
Are Foreign Companies Still Worth Joining? Career Choice Priority Ranking for Programmers in 2025
With Citi and Microsoft mass layoffs, should programmers choose foreign companies, SOEs, or big tech? Analysis of career priorities and barbell strategy for risk management.
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Tutorials·2 min
Java + AI: A Practical Path for Programmers to Break Through the Age-35 Career Crisis
How Java programmers can break through the age-35 career bottleneck by stacking AI skills. Covers AI learning levels, Java+AI synergy, and actionable transition strategies.
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Industry Insights·1 min
Java Career Prospects in 2025: Will AI Replace Java Developers? Where Do Programmers Go from Here?
In-depth analysis of Java career prospects in 2025 and AI replacement risk. From developer skill tiers and big tech barriers to career planning in the AI era.
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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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Product Reviews·3 min
Cursor Composite vs Windsurf SWE 1.5: Three Rounds of Real-World Testing to Determine the Best AI Coding Model
Three progressive real-world tests comparing Cursor Composite and Windsurf SWE 1.5 proprietary AI coding models across HTML games, e-commerce pages, and full-stack systems.
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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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Product Reviews·3 min
AIFlowy: A Java-Based Alternative to Dify for Enterprise AI Application Development
AIFlowy is an open-source AI app development platform built on Java, rivaling Dify and Coze with visual workflow orchestration, multi-model support, and RAG capabilities for enterprise teams.
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Tutorials·4 min
Building a Generative Recommendation System with Go and AI Agents: Architecture Design and Practical Analysis
Deep dive into a Go-based generative recommendation system powered by LLMs, covering three-level semantic understanding, three-layer user memory, and five-dimensional feedback design.
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