#Spring learning guide
57 related articles
·6 min
Introduction to Prompt Engineering: Principles, Methods, and Practical Case Studies
Prompt Engineering is the core skill for harnessing LLMs. This article covers principles and design methods through real cases like translation role-setting and DeepSeek image generation.
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·6 min
Introduction to Prompt Engineering: A Complete Guide from Understanding to Implementation
Prompt engineering is more than messaging AI. This guide breaks down the four core functions of prompts, the six-step prompt engineering process, and key limitations to help you build the right foundation.
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·2 min
iFlytek T30 Lite Learning Tablet Deep Review: Does AI-Powered Weakness Detection Actually Work?
iFlytek T30 Lite learning tablet features Spark and DeepSeek dual AI models for precision weakness detection, multimodal animated explanations, and smart question recommendations. An objective review.
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·7 min
Agentic AI Reshapes Genomic Interpretation: A SOTA Case Study in Interstitial Lung Disease Diagnosis
How Agentic AI achieves SOTA performance in interstitial lung disease (ILD) genomic interpretation through autonomous planning, multi-step reasoning, and tool calling—and its clinical impact.
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·5 min
Introduction to Prompt Engineering: A Complete Guide to Core Concepts, Methodologies, and Limitations
Prompt engineering is a core skill in the AI era. This article breaks down the essential differences between prompts and prompt engineering, the six-step workflow, four evaluation criteria, and key limitations like context limits and hallucination.
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·7 min
Spring AI 2.0 in Practice: A Beginner's Guide for Java Developers Building AI Agents
A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.
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·3 min
Programmers Pivoting to AI: Opportunities in Application Development and Pitfalls to Avoid
How can ordinary programmers break into AI? This guide breaks down the gap between algorithm engineers and AI app developers, covering Agent development, model fine-tuning, salary trends, and the three hidden risks behind the current opportunity window.
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·2 min
What's the Difference Between Codex and ChatGPT? A Complete Guide to AI Coding Agents
Compare OpenAI Codex vs ChatGPT: ChatGPT is a conversational advisor while Codex is an autonomous AI coding agent that writes code, fixes bugs, and runs tests for developers.
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·3 min
Java AI Framework Comparison: A Selection Guide for Spring AI, LangChain4J, and More
In-depth comparison of four Java AI frameworks — Spring AI, LangChain4J, DJL, and JBot AI — covering features, use cases, and ecosystem compatibility to guide your selection.
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·3 min
How Is Codex Different from ChatGPT? Breaking Down the Core Differences of the AI Coding Agent
Compare OpenAI Codex vs ChatGPT: ChatGPT handles Q&A while Codex acts as an AI coding agent that autonomously writes code, fixes bugs, and runs tests.
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·3 min
Build an App in 30 Minutes with Zero Code: A Complete Hands-On Walkthrough Using the AI Tool Tusi
Build a fully installable mobile app in 30 minutes with zero code using AI tool Tusi. A complete walkthrough from requirements to finished product, showing how AI shifts app development from coding skills to clear communication.
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·4 min
Harness Engineering in Practice: Taming AI Agents with Hermes Agent
Deep dive into Harness Engineering: using the open-source Hermes Agent framework's four-layer memory system and Skill evolution to build controllable, evolvable AI agents.
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·4 min
Spring AI vs LangChain4j: How to Choose a Java AI Framework
In-depth comparison of Spring AI and LangChain4j — two major Java AI frameworks — covering core features, completeness, ecosystem support, and usability to help Java developers make the right choice.
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·3 min
Vue3 + SpringBoot in Practice: A Full-Stack AI Travel Recommendation Assistant Explained
Build an AI travel recommendation assistant with Vue3 and Java SpringBoot. Features intelligent itinerary planning and AI chat, perfect for beginners entering full-stack + AI development.
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·3 min
Claude Code Skills Mechanism Explained: On-Demand Loading for Token Savings and Better Performance
Deep dive into Claude Code's Skills mechanism: on-demand loading replaces bulk context dumping, cutting Token costs and boosting output quality with modular expertise.
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·4 min
AI + Java Backend Learning Roadmap: Four Stages from CRUD to Senior AI Engineer
A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.
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·3 min
Getting Started with AI Agents: A Complete Learning Path from Zero to Production
A comprehensive guide to AI Agent architecture covering ReAct paradigm, multi-agent collaboration, RAG integration, and the planning-memory-tools framework, with a complete learning path from concepts to production deployment.
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·4 min
Cursor Deep Dive: Core Advantages and Use Cases of an AI-Native Programming Tool
Deep dive into Cursor's four core features, six-dimension comparison with traditional IDEs, and analysis of target users. Learn how this AI-native code editor redefines programming through natural language interaction.
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·4 min
The Five-Tier Pyramid of IT Careers in the AI Era: Your Position Determines Your Career Ceiling
AI is reshaping IT careers into a five-tier pyramid from tool usage to self-developed models. Learn where you fit and how to maximize your career potential.
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·4 min
Cursor in Practice: Build a Vue3 + SpringBoot Full-Stack Blog Project in 20 Minutes
A detailed demo of using Cursor AI to build a Vue3 + SpringBoot + MySQL full-stack blog project in 20 minutes, covering UI prototyping, code generation, database setup, and debugging.
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