9 related articles

A job seeker used Claude for AI mock interviews, fixing rambling answers and buried examples through iterative feedback, and landed the offer. Full methodology inside.

A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.

A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.

How to find AI courses worth paying for amid the flood of beginner content. A guide to evaluating courses on Agentic workflows, RAG, fine-tuning, and more.

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.

How do professional football coaches use GPS monitoring data to precisely quantify training intensity? This article explores how GPS tracking recreates the hardest moments of a match and the "amplify super strengths" training philosophy.

A roundup of 12 trending open-source AI agent projects on GitHub, covering video generation, agent frameworks, skill packs, code engines, security scanning, and voice processing.

How can ordinary people break into AI and earn money? This guide covers three entry strategies: zero-barrier data annotation and prompt engineering, career changers becoming AI app engineers, and degree holders diving into algorithms.

An AI training instructor's candid self-disclosure reveals clickbait practices, instructor shortages, and traffic anxiety in China's booming AI training industry, with tips for learners.