#testing career path
119 related articles
·3 min
6 Core Skills to Stay Irreplaceable in the AI Era: From Getting Started to Building Your Competitive Moat
Master 6 core skills for the AI era: become the AI expert in your circle, develop taste, context engineering, rapid iteration, automation systems, and multiple income streams.
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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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·3 min
VibeCoding Beginner's Guide: A Complete Guide to Building Software with Natural Language from Scratch
VibeCoding lets anyone build software through natural language conversations with AI. Learn the core concepts, learning path, and practical methods to get started.
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·3 min
Python Excel Automation in Practice: Data Filtering and Categorization with Pandas
Learn how to use Python Pandas to automate Excel data filtering and categorization. Core code is just 6-8 lines — handle massive datasets effortlessly.
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·3 min
What Happens to Developer Jobs When AI Writes 80% of the Code? A Deep Dive into Anthropic's Landmark Report
Anthropic's latest report reveals over 80% of its codebase is AI-written and engineer output has grown 8x. A deep analysis of AI's impact on software development, the taste moat, AI bubble stages, and loop engineering.
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·4 min
Building a WeChat Mini Program with AI + Cursor: A Full Workflow from Ideation to Frontend
A hands-on guide using DeepSeek, Claude, and GPT for product ideation, then Cursor to build a WeChat Mini Program. Four iterations from zero to frontend.
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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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·4 min
AI Agent Development: A Complete 6-Week Systematic Learning Roadmap
A 6-week systematic learning roadmap for AI Agent development, covering core architecture, ReAct principles, multi-agent collaboration, RAG integration, and deployment.
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·3 min
AI Large Language Models Explained: Transformer Architecture & Practical Testing Guide
Deep dive into AI large model principles, from Transformer architecture to probabilistic inference, with practical guidance on LLM applications in testing and AI testing strategies.
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·4 min
AI Agent in Practice: Building a Commercial-Grade Programming Agent from Scratch
A deep dive into AI Agent development, from the core principles of perception-decision-action to a Vue3 auto-creation demo, covering LangChain, LangGraph, MCP, and the full tech stack.
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·2 min
Getting Started with AI Agent Development: A Three-Stage Learning Roadmap Explained
A complete roadmap for learning AI Agent development from scratch. Covers Python basics, LLM concepts, five core capabilities, mainstream frameworks, and RAG knowledge base projects.
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·2 min
AI Agent Full-Stack Development: Architecture Principles and Production-Grade Project Implementation Guide
A comprehensive guide to AI Agent full-stack development covering LangChain, LangGraph, MCP protocol, and LLM deployment, with a hands-on Vue3 project demo showcasing the perception-decision-action loop.
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·3 min
Fired 6 Times, He Achieved 95% Profit Margins with Digital Products — Here's How
Indie developer Marc Lou was fired 6 times before pivoting to digital products, achieving $1.5M+ annual revenue with 95% profit margins. Learn his business model, pricing strategy, and AI marketing tactics.
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·2 min
Claude Code Goes Viral: Opportunity or Crisis for Programmers?
In-depth analysis of Claude Code's impact on programmers: efficiency gains, junior role disruption, hidden AI code bugs, and skill degradation risks. With practical advice for developers.
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·3 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Guide from Beginner to Practitioner
A systematic AI Agent development learning roadmap covering core concepts, ReAct/CoT paradigms, multi-agent collaboration, and hands-on projects across four stages.
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·2 min
Decision-Making Division Between Humans and Super AI: Governance Reflections from Science Fiction to Reality
Exploring whether humans should cede decision-making to super AI, from Banks' Culture series to real-world AI governance, value alignment, and AGI regulation.
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Tutorials·2 min
AI Agent + Vue 3 Full-Stack Development in Practice: Integrating the Coze Platform with Frontend Engineering
A deep dive into integrating AI agents with Vue 3 frontend development, covering Coze platform agent building, Vue3+TypeScript+Pinia stack practices, and AI content generation features.
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Deep Dives·3 min
How Multi-Agent Teams Solve AI Hallucination and Make AI Reliable
Deep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
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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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Industry Insights·3 min
In-Depth Analysis of IT Job Market: Is Switching to Software Testing Worth It?
In-depth analysis of front-end, back-end, operations, and other IT roles, with insights into software testing career paths and specializations for IT professionals considering a transition.
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