#Claude interview practice
150 related articles
·2 min
AI Programming Learning Roadmap: A Complete Six-Stage Guide from Beginner to Expert
A systematic breakdown of the six-stage AI programming learning roadmap, from zero-code start to mastering Cursor and professional tools, methodology frameworks, advanced patterns, and project practice.
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·3 min
6 Practical Prompt Techniques to 10x the Quality of AI Responses
6 proven prompt techniques — role-playing, deep questioning, adversarial critique, failure pre-mortem, reverse engineering, and dual-version explanation — to dramatically improve AI output quality.
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·2 min
Career Switch to AI Software Testing from Scratch: A Complete 3-Month Learning Roadmap
A complete 3-month learning roadmap for switching to AI software testing from scratch, covering fundamentals, Python automation, AI-powered testing, and career guidance.
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·4 min
AI Engineering in Practice: The Right Way to Build Enterprise Projects with Claude Code
Learn how to use Claude Code with Specification-Driven Development (SDD) to build enterprise projects, solving common AI coding pitfalls like infinite bug loops, code quality issues, and hallucination risks.
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·3 min
5 Daily Claude Code Tips: Let AI Interrogate You Instead
5 daily Claude Code tips: Grill Me for requirements, Brainstorming for architecture, Writing Plan for execution, TDD for testing, and Debugging for precise fixes — a complete AI coding workflow.
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·2 min
Claude Code Practical Guide: From Installation & Configuration to Production-Grade Project Delivery
Complete guide to Claude Code + Opus for production projects: CC Switch setup, engineering-minded prompting, and a real case study delivering a complex payment system in 4 hours.
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·2 min
Frontend to AI Agent Architect: A Complete 3-Month Learning Roadmap
How can frontend engineers transition to AI Agent development? A systematic 3-month roadmap covering AI concepts, model selection, team productivity, and Agent architecture.
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·3 min
AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development
A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.
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·3 min
9 Failure Modes and Best Practices Guide for the GrillMe Skill
Deep dive into 9 common failure modes of GrillMe and GrillWithDocs skills, covering scope control, question fidelity, model selection, parallel sessions, and more best practices.
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·4 min
A Complete Guide to Multi-Agent Teams in AI Coding: From Solo Work to Team Collaboration
Deep dive into multi-agent solutions from Cursor, Claude Code, and Tencent CodeBuddy — covering parallel exploration, cross-layer collaboration, context isolation, practical tips, and selection guide.
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·2 min
VendingBench: A Practical Methodology for AI Evaluation from Haiku to Mythos
VendingBench creators share AI evaluation insights covering Claude models from Haiku to Mythos, plus how to build contamination-resistant, durable frontier benchmarks.
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·4 min
Claude Code in Practice: Completing a Complex Payment System Integration in 4 Hours for $60
Real case study showing how Claude Code + Opus 4.7 completed a complex payment system integration in 4 hours for $60, covering CC Switch setup, prompt engineering, and model selection strategies.
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·4 min
Neural Networks from Scratch: A Deep Dive into the Fundamentals from Linear Regression to Gradient Descent
From linear regression and logistic regression to gradient descent, this guide derives the core mechanisms of neural networks step by step, covering Sigmoid, cross-entropy, activation functions, and backpropagation.
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·3 min
Career Transition Guide for AI Product Managers: Pick the Right Track Across Three Industry Layers
A deep dive into the AI product manager industry's three-layer pyramid — from infrastructure to models to applications — helping traditional PMs find the best career transition track.
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Claude Code Creator Reveals: How AI Pr…
·3 min
Claude Code Creator Reveals: How AI Programming Boosts Engineering Efficiency by 200%
Anthropic's Claude Code creator Boris Cherny shares AI programming practices: 90% of code written by AI, 200% engineer productivity gain, new hires productive in 2 days.
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·2 min
Chaos in the AI Training Industry: A Deep Dive into Clickbait and the Instructor Shortage Crisis
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.
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·2 min
Level Up Claude Code: Building an Enhanced Plan Mode with Grill Me
Learn how to install and use the Grill Me Skill for Claude Code, replacing AI guesswork with structured questioning to clarify requirements before generating execution plans.
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·3 min
Claude Code Enterprise E-commerce in Practice: A Methodology for Taking AI Programming from Demo to Industrial-Grade
A deep dive into engineering methodology for enterprise e-commerce development with Claude Code and Harness AI, covering architecture, code quality, and CI/CD practices.
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·4 min
Can't Fill Out Prompt Templates Properly? The Four-Module Incremental Method Doubles Your AI Output Quality
Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.
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·3 min
AI Agent Productivity Guide for Developers: Practical Methods to Automate 84% of Non-Coding Work
Developers spend 84% of their time on non-coding tasks. Learn how to use AI Agents to automate Jira tickets, tech docs, and multi-project management with Claude Code and Tmux workflows.
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