#LLM application developer interview
170 related articles
Tutorials·4 min
Deep Dive into Claude Code's Agent Architecture: From Principles to Minimal Implementation
Deep analysis of Claude Code's four core agent modules: Agent Loop, Tool System, Skills, and Memory, with a TypeScript minimal implementation guide for frontend engineers transitioning to AI development.
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Tutorials·3 min
Frontend AI Full-Stack Development in Practice: Building Multimodal Applications with PNPM MonoRepo Architecture
A practical guide to frontend AI full-stack development covering PNPM MonoRepo architecture, TurboRepo build optimization, and LangChain multimodal applications with Ollama local model deployment.
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Tutorials·3 min
Java Developers Transitioning to AI Engineers: New Interview Trends and Learning Roadmap
Deep analysis of interview trends for Java developers transitioning to AI engineers, covering LLM integration, RAG, Spring AI framework practice, with a complete learning roadmap.
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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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Tutorials·3 min
Getting Started with Spring AI Alibaba: The Go-To Framework for Java Developers Integrating LLMs
A deep dive into Spring AI Alibaba's core positioning and advantages, helping Java developers quickly understand how to integrate LLMs through this framework.
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Industry Insights·3 min
Should Custom Software Teams Go All-In on LLMs? ChatGPT Itself Gave the Answer
Should custom software teams go all-in on LLMs? Through a deep conversation with ChatGPT, we analyze scenario selection, Token costs, and industry fit to provide a rational decision framework for ToB developers.
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Industry Insights·3 min
Deep Dive into Three Major LLM Career Paths: Requirements, Tech Stacks, and Career Prospects
Deep analysis of three core LLM roles—Application Engineer, Development Engineer, and Algorithm Engineer—covering technical requirements, salary thresholds, and career prospects including RAG, fine-tuning, and inference deployment.
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Tutorials·2 min
Learning AI Large Language Models from Scratch: A Guide to Learning Paths, Hardware, and Programming Languages
A beginner's guide to learning AI large language models — covering learning paths, hardware requirements, Python essentials, and cloud services for learners at every level.
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Tutorials·2 min
Five Core Capabilities of GitHub Copilot's MCP Integration in JetBrains
Deep dive into GitHub Copilot's MCP integration in JetBrains IDEs: Agent Mode, Sampling model scheduling, MCP Prompts, Resources context injection, and Elicitation structured dialogue guidance.
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Tutorials·2 min
Career Progression in AI/LLM Application Development: Four Stages from Beginner to 40K Monthly Salary
A systematic four-stage career path for AI/LLM application development: from RAG and Agent fundamentals to architecture design, helping developers transition to AI roles targeting 40K+ monthly salary.
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Tutorials·3 min
Frontend Engineers Leveling Up to AI Agents: LangGraph.js Architecture Design & Practical Guide
How can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
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Tutorials·2 min
OpenClaw in Practice: A Complete Guide to Building Three Enterprise-Grade AI Digital Workers in Two Weeks
Learn how to build enterprise-grade AI digital workers with OpenClaw, including a full recruitment automation AI HR Assistant, technical architecture, and offline deployment.
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Industry Insights·2 min
GitHub Copilot Named Gartner Magic Quadrant Leader for Three Consecutive Years
GitHub named a Leader in the Gartner Magic Quadrant for Enterprise AI Coding Agents for the third year. Explore Copilot's AI strategy and market landscape.
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Product Reviews·2 min
GitHired: A Recruitment Tool That Automatically Screens Engineers Through GitHub Code Analysis
GitHired automates technical recruiting by analyzing candidates' GitHub contributions, generating tech profiles, and filtering fake commits to screen engineers 10x faster.
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Industry Insights·2 min
In-Depth Analysis of C++ + AI Full-Stack Training Programs: Career Transition Paths for Developers in 2026
An in-depth analysis of C++ + AI full-stack training programs covering CUDA, YOLO, RAG, and interest-aligned employment guarantees for C++ developers transitioning to AI roles.
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Tutorials·2 min
Rapid Mastery of TypeScript and Zod: Essential Skills for AI Full-Stack Developers
Deep dive into TypeScript's type system and Zod runtime validation for AI full-stack development. Master LLM output parsing, API data validation, and become the AI full-stack engineer companies need.
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Expert Opinions·1 min
Karpathy on Vibe Coding and Agentic Engineering: A Paradigm Shift for Programmers
Karpathy explains the paradigm shift from vibe coding to agentic engineering, how LLMs reshape programming in the Software 3.0 era, and why verifiability matters.
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Tutorials·2 min
Build a Job-Hunting Portfolio Website in 5 Minutes with Lovable: From Zero to Landing a Google Interview
Learn how to build a job-hunting portfolio website in 5 minutes using Lovable AI. Includes Prompt writing tips, step-by-step workflow, and a real case of landing a Google interview.
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Tutorials·1 min
AI Learning Roadmap for Java Developers: From LLMs to RAG and Agent Development
A dedicated AI learning roadmap for Java developers covering Spring AI, LangChain4J, RAG, and Agent development — from fundamentals to production deployment.
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Product Reviews·2 min
Hands-On Review of Miaoda AI Website Builder: Zero Code, Three Minutes to a Personal Website — Is It Really That Easy?
Hands-on review of Miaoda AI website builder: generate a personal website in 3 minutes through conversation with zero coding. Covers workflow, prompt tips, core strengths, and limitations.
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