#Java developer interview
106 related articles
·3 min
Java Developers Pivoting to AI: Why RAG Knowledge Bases Are the Best Entry Point
Traditional Java roles are shrinking while AI demand surges. Learn the three paths into AI for developers, and why RAG knowledge bases are the highest-ROI entry point for Java engineers.
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·3 min
Modern Web Guidance: Getting AI to Generate Better Front-End Code
Google Developer Expert Raudy shares Modern Web Guidance at Google I/O Connect Berlin: a framework steering AI coding assistants to use native HTML/CSS over outdated JavaScript patterns.
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Frontend to AI Agent: Why TypeScript + Zod Have Become Non-Negotiable
Frontend engineers pivoting to AI Agent development: TypeScript and Zod are now must-have skills. Explore the full progression from API calls to building LangGraph-style frameworks, and nail the 3 core interview topics.
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·3 min
Java Developers Transitioning to AI: A Practical Guide to Building RAG Knowledge Bases
How can Java developers break into AI? This guide covers the AI application engineer career path, RAG knowledge base fundamentals, vector database retrieval, and enterprise-grade RAG challenges.
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·2 min
Spring AI Alibaba Graph in Action: Build an HR Recruitment Workflow Agent from Scratch
Build a full HR recruitment Workflow Agent with Spring AI Alibaba Graph: résumé scoring, interview generation, Human-in-the-Loop, and state rollback across 20 technical concepts.
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·2 min
Getting Started with Codex: A Practical Guide to OpenAI's AI Coding Assistant
A practical guide to OpenAI Codex: core features, Codex vs. Claude Code comparison, and why the Codex+DeepSeek combo doesn't work. Avoid common pitfalls and boost your coding productivity.
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GitHub Daily · July 17: AI Coding Infr…
·3 min
GitHub Daily · July 17: AI Coding Infrastructure Explodes — From Context Graphs to Vector Indexes
AI coding infrastructure explodes on GitHub: context management, code graphs, and vector indexes become the new battleground as the community shifts from apps to underlying capabilities.
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·2 min
Codex Joins ChatGPT: How GPT-5.6 Is Redefining the AI Assistant Experience
OpenAI merges Codex into ChatGPT and launches GPT-5.6. Discover how proactive task planning, cross-device coordination, and autonomous agents are redefining AI assistants.
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·3 min
AI Agents Are Reshaping Software Testing: A Practical Guide from Cursor to LangChain
A deep dive into AI-powered testing: Cursor Skills, Coze agents, and LangChain multi-agent systems for automated test case generation, BDD, and review workflows.
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·3 min
LangChain Practical Guide: From RAG Applications to Intelligent Agent Development
A comprehensive guide to LangChain: core concepts, RAG applications, Agent development, version selection (0.3/1.0), and career opportunities for Java/Python developers entering LLM development.
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·3 min
Will Vibe Coding Ruin Programmers? Coding Anxiety and How to Break Through in the AI Era
As Vibe Coding rises, many developers can't write code without AI. We break down the risks, whether traditional coding skills still matter, and how to rebuild them.
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·3 min
Sent Hundreds of Resumes with No Response? A Deep Dive into Tech Job Search Struggles and How to Break Through
Sending hundreds of resumes with no response? This article breaks down the core pain points in today's tech job market — ATS filtering, spray-and-pray fatigue, neglected referral channels — and offers actionable strategies to break through.
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·3 min
Java Developers Pivoting to AI: Why the Agent Direction Is the Best Choice
How can experienced Java and backend developers pivot to AI? This deep-dive explains why the Agent direction is the best fit — skills transfer well, market demand is high, and the path from "using frameworks" to "understanding source code" is clear.
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·4 min
Spring AI Alibaba Graph in Practice: HR Recruitment Workflow Agent Design and Core Technical Analysis
Build an HR recruitment workflow Agent with Spring AI Alibaba Graph, covering resume parsing, job matching, tiered question generation, HITL checkpointing, and time travel state rollback across 20 core technical points.
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·3 min
Building an AI Auto-Editing Workflow with n8n: Parallel Processing, Date Filtering, and Scheduled Triggers — A Full Dev Log
A complete walkthrough of building an AI auto-editing workflow in n8n: Merge node sync, Luxon date filtering, scheduled triggers, real bugs, and debugging tips for solo creators.
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·7 min
Getting Started with Dify: A Complete Guide from Local Deployment to Building Enterprise-Grade AI Applications
A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.
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·7 min
TypeScript + Zod: Dual Insurance for Type Safety in AI Agent Development
An in-depth look at the division of labor between TypeScript and Zod in AI Agent development: TypeScript handles compile-time static type checking, Zod handles runtime validation, forming a dual defense.
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·3 min
Building LangGraph from Scratch in TypeScript: A Complete Agent Development Guide for Frontend Engineers
How can frontend developers get into AI Agent development with TypeScript? This guide covers a four-stage path from API calls to building LangGraph from scratch, including Zod, state management, and node-edge design.
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·7 min
LangChain.js + Nuxt.js: An AI Full-Stack Advancement Path for Frontend Engineers
Frontend hiring now treats AI capabilities as a core assessment, covering RAG knowledge bases, AI Agent development, and LangChain.js engineering. Learn how LangChain.js + Nuxt.js helps frontend developers build memory- and retrieval-capable AI full-stack apps.
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·7 min
Building AI Agent Frameworks with TypeScript: The Core Development Paradigm for Full-Stack Developers
An in-depth look at why TypeScript is the top choice for AI Agent development: covering Zod structured output validation, LangGraph's graph state machine design, and a full learning path for front-end devs transitioning to full-stack AI.
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