#Java Spring Boot
133 related articles
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·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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Tutorials·1 min
Java Project Structure Explained: The Four-Layer Architecture of Modules, Packages, Classes, and Methods
A detailed guide to Java project's four-layer structure: Modules, Packages, Classes, Fields and Methods. From naming conventions to hands-on creation for beginners.
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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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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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Expert Opinions·2 min
Programmers Who Can Only Call APIs Are Being Made Obsolete by AI Coding Tools
A shopping cart interview exposes programmers' fatal flaw: only knowing framework APIs, not data structures. AI tools now auto-generate CRUD code—first principles thinking is your real moat.
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Tutorials·2 min
Trae in Practice: AI Builds a Java Backend Management System from Scratch
A detailed walkthrough of using Trae AI IDE to build a Java Spring Boot admin system from scratch, covering database init, driver debugging, and login fixes.
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Expert Opinions·1 min
A Programmer's Guide to Starting a Remote Outsourcing Studio: The Practical Path from Landing Clients to Earning Seven Figures
A practical guide to starting a programmer outsourcing studio, covering client acquisition methods, pricing strategies, client screening, and team collaboration — with real data showing a 30% success rate.
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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·1 min
Spring AI Alibaba Getting Started: Understand the Best Java-to-LLM Integration Solution in 3 Minutes
A detailed guide on Spring AI Alibaba's core advantages, use cases, and comparison with Spring AI and LangChain4J for Java developers integrating LLMs.
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Tutorials·2 min
LangGraph Multi-Agent Architecture in Practice: A Complete Guide from Single Agent to Enterprise-Level Applications
In-depth guide to LangGraph multi-agent architecture: covering Graph structures, MCP protocol integration, single Agent building to enterprise-level multi-agent collaboration for AI developers.
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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
Trae vs Qoder vs Claude Code: In-Depth Comparison of Three Major AI Coding Tools in 2025
In-depth comparison of Trae, Qoder, and Claude Code across code comprehension, automation, and pricing. Trae is free with Solo auto mode, Qoder excels at Java cross-file refactoring, Claude Code tops code quality. Includes buying guide.
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Tutorials·2 min
Dify Java Client: Best Practices for Integrating AI into Java Projects
dify-java-client is an open-source Java client library for integrating Dify's generative AI capabilities. It supports chat, text generation, workflows, and knowledge base APIs with streaming responses and type-safe wrappers for enterprise scenarios.
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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
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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