#coding interview preparation
37 related articles
·3 min
Building a RAG Q&A Workflow with Dify: A 4-Step Guide to Enterprise Knowledge Base Chatbots
Learn RAG fundamentals and build an enterprise knowledge base chatbot with Dify in 4 steps: data prep, model config, knowledge base import, and workflow orchestration.
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·4 min
Getting Started with Software Testing: A Complete Guide to Core Concepts and Classification Systems
A comprehensive guide to software testing fundamentals covering definitions, purposes, classification by phase, technique, and method, plus core concepts like smoke testing and regression testing.
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·4 min
LLM Job Interviews: Multi-Agent and Harness Engineering Are Now Must-Know Topics
Deep analysis of LLM job interview essentials: Multi-Agent architecture, Harness engineering, Agent Loop, sandbox isolation, and memory management with career transition tips.
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·3 min
The Complete Skill Map for AI Application Engineers: A Progressive Roadmap from Fundamentals to Production
A systematic breakdown of the complete skill structure for AI application engineers, covering Python & deep learning fundamentals, small model engineering, LLM fine-tuning, Agent development, and enterprise projects.
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Tutorials·3 min
Zero2Agent: An Open-Source Job Interview Prep Tutorial for Agent Engineer Positions at Top Tech Companies
Zero2Agent is an open-source interview prep tutorial covering Agent fundamentals, LangGraph/Claude Code analysis, interview question banks, and coding practice tools for landing Agent engineer roles at top tech companies.
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Tutorials·1 min
AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation
A systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
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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·2 min
Six Pitfalls and a Three-Layer Solution for Implementing AI-Powered API Test Automation
Deep dive into six common pitfalls of AI-generated API automation scripts and a three-layer solution covering diagnosis and optimization for real-world implementation.
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Tutorials·2 min
Mock Interview Review for a Test Engineer with 6 Years of Experience: Three Fatal Mistakes and How to Fix Them
A 6-year test engineer's mock interview reveals three fatal flaws: poor communication, contradictory framework descriptions, and shallow AI application depth. Learn targeted strategies to improve.
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Tutorials·2 min
Vibe Coding Interview Tips for Campus AI Product Manager Recruitment: Key Assessment Areas & Response Strategies
A systematic guide to Vibe Coding interview questions for campus AI PM recruitment: three assessment dimensions, error correction strategies, and advanced quality control tips.
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Tech Frontiers·2 min
Must-Know AI Skills for Software Testing Interviews in 2026: Four Core Competencies & Top Interview Questions Explained
In 2026, AI skills are a hard requirement for software testing roles. Learn the four core competencies enterprises demand, top interview questions with answer frameworks, and a complete learning path.
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Tech Frontiers·3 min
AI Test Development Learning Path: A Practical Guide from Prompt Engineering to RAG Knowledge Bases
A systematic AI test development learning path covering LLM fundamentals, prompt engineering, PyTest automation, RAG knowledge bases, and MCP tool chains to help QA engineers master AI-empowered testing.
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Tutorials·2 min
Postman API Testing Beginner's Tutorial: A Practical Guide to Sending Requests and Interpreting Responses
Postman API testing beginner's tutorial covering request methods, URLs, authentication, request bodies, status codes, and response interpretation with practical examples.
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Tutorials·4 min
Java Developers Transitioning to AI: A Practical Path to a 50% Salary Increase When Switching Jobs
Java+AI roles offer 30%-60% salary premiums in 2026. Learn how Java developers can master LLM skills, Spring AI, and AI tools to land higher-paying jobs.
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Tutorials·3 min
Programmer Yupi's AI Resource Collection: A Complete Learning Path from Zero to Production
A deep dive into the popular GitHub project liyupi/ai-guide covering Vibe Coding tutorials, LLM usage, AI coding tools (Cursor/Claude Code), Prompts, RAG/MCP/Agent concepts — a 13,000+ Stars Chinese AI learning resource hub.
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Product Reviews·5 min
Career-Ops: The AI Job-Hunting Powerhouse with 40K Stars, an Open-Source Automation System Powered by Claude Code
Deep dive into Career-Ops, a GitHub project with 42K+ Stars. This Claude Code-powered AI job search system features 14 skill modes, PDF generation, batch processing, and a Go dashboard.
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Product Reviews·4 min
JavaGuide: Deep Dive into the 150K-Star Java Interview Guide
Deep analysis of JavaGuide, a 155K-Star GitHub project covering Java core, databases, distributed systems, high concurrency, system design, and AI development for backend interview prep.
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