#large model Java microservices
110 related articles
·4 min
Anthropic Dynamic Workflows Explained: When to Use Them and Pitfalls to Avoid
Deep dive into Anthropic Dynamic Workflows: core mechanisms, differences from single Agent and Sub-Agent patterns, and a decision tree for when to use them vs. when to avoid burning tokens.
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·3 min
Claude Code vs Codex: A Deep Comparison — Who Wins When the Tech Converges
Deep comparison of Claude Code vs OpenAI Codex across first-mover advantage, architecture, market share, and reliability. Discover what truly matters when AI coding tools converge.
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·2 min
The 4-Stage Roadmap for AI Application Development: A Career Transition Guide from Beginner to Senior Engineer
A 4-stage roadmap for AI application development: from Python and RAG basics to Agent cluster architecture, covering the core skills needed for career growth.
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·3 min
Complete Guide to LangChain 0.3: Module Architecture & Core Development in Practice
A deep dive into LangChain 0.3's module architecture, message abstraction, prompt templates, output parsers, LCEL chains, LangSmith tracing, and LangGraph for mastering LLM application development.
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·2 min
How Nextdoor's Engineering Team Uses Codex to Enable Single-Engineer Full-Stack Delivery
Nextdoor's engineering lead shares how OpenAI Codex is reshaping development for their 105M-user platform: single-engineer full-stack delivery, solving tough technical problems, and deep cultural integration.
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·3 min
Enterprise AI Agent Architecture in Practice: Sandbox Isolation and Skill Management Explained
Deep dive into enterprise AI agent architecture covering HARIS task decomposition, sandbox isolation, Skill persistence, MCP tool integration, and user-level memory systems.
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·3 min
Beginner's Guide to Agent Skills: Structure Breakdown & Custom AI Skill Development
A deep dive into Agent Skill's core concepts and internal structure, covering skill.md, references, scripts, and assets with a restaurant poster Skill example.
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·4 min
Complete Guide to Commercial AI Agent Development: From Requirements Analysis to Production Deployment
Complete guide to commercial AI agent development from scratch, covering requirements analysis, architecture design (ReAct framework, deep search, intent recognition), hands-on Coze platform implementation, workflow creation, and production deployment.
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·3 min
Beginner's Guide to Vibe Coding: Turn Ideas into Products with AI — No Coding Experience Required
Vibe Coding lets anyone build software products through natural language conversations with AI — no programming skills required. Learn the concept, top tools (Cursor, Claude Code, Codex), and how to get started.
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·3 min
Four Core Advantages Frontend Developers Have When Transitioning to AI Agent Development
Frontend developers have key advantages for AI Agent development: TypeScript ecosystem fit, low-barrier full-stack bridging, and state management isomorphism. Learn the transition path here.
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·2 min
Java Backend Interview Prep Roadmap: A 6-Week Sprint Guide Integrating AI Agent Development
A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.
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·3 min
Agent Skills Architecture Explained: Modular AI Agent Development and How It Differs from MCP
Deep dive into Anthropic's Agent Skills architecture: modular skill loading, core concepts, enterprise value, and how it fundamentally differs from MCP.
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·3 min
What Is an Agent Skill? Core Structure and Hands-On Beginner's Guide
A detailed guide to AI Agent Skills: core concepts, four key components (skill.md, references, scripts, assets), Skill vs. prompt comparison, and a practical path to building Agent capability packages from scratch.
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·3 min
Hermes Overhaul in Practice: Building a Multi-Model Orchestration Master Agent System
How to transform the Hermes Agent framework into a unified orchestration hub with intelligent routing across Claude, Gemini, and Codex, featuring inter-Agent communication, task monitoring, and more.
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·1 min
Why Now Is the Best Time to Be a Software Engineer
Software engineers are entering a golden era in the age of AI. Learn how AI tools amplify engineer value, why demand is exploding, and how to stay competitive.
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·2 min
Deep Comparison of Four Major Message Queues: How to Choose Between Kafka, RocketMQ, RabbitMQ, and ActiveMQ
In-depth comparison of Kafka, RocketMQ, RabbitMQ, and ActiveMQ across throughput, persistence, multi-language support, and more to guide your MQ selection.
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·3 min
AI Coding Tools Showdown: Cloud Code, Cursor, Codex & OpenCode (International Big Four) VS China's Top Three
Comprehensive comparison of 7 mainstream AI coding tools in 2026: Cloud Code, Cursor, Codex, OpenCode vs Trae, Tongyi Lingma, Wenxin Quick Code across features, strengths, and use cases.
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·3 min
Six AI Coding Tools Compared: Claude Code and Cursor Lead the Pack
In-depth comparison of six AI coding tools in 2026: Claude Code, Cursor, Codex, Trae, Qoder, CodeBuddy. Analyzed across Agent capabilities, IDE experience, and team collaboration with scenario-based recommendations.
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·3 min
AI Era Survival Guide for Programmers: The Transformation from Code Producer to AI Orchestrator
In-depth analysis of AI programming's impact on traditional developers, covering Vibe Coding trends, the emerging FDE role, and how programmers can transform through business acumen and architectural thinking.
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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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