120 related articles
Industry InsightsIn-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.
TutorialsDeep dive into a popular 3-month AI/LLM transition roadmap: from Python basics and Prompt engineering to LangChain, RAG, Agents, and hands-on projects, with realistic time estimates and pitfall warnings.
TutorialsIn-depth review of a 648-episode Python tutorial on Bilibili, analyzing its three-stage course structure, resource quality, and learning effectiveness with practical study tips for beginners.
TutorialsA systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
Product ReviewsHands-on comparison of Gemini 3.1 Pro vs Claude Opus 4.6 across five real-world tests including SVG generation, interactive components, website building, and complex reasoning, with practical usage recommendations.
Expert OpinionsVeteran developer ArjanCodes (320K subscribers) says he's sick of AI hype. He argues shipping fast isn't software development, coding is just the tip of the iceberg, responsibility can't be delegated to AI, and fundamentals remain a developer's core edge.
TutorialsA 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.
Industry InsightsIn-depth analysis of 2026 IT career prospects across development, testing, operations & network engineering, with actionable transformation strategies.
Industry InsightsA 30-year-old programmer used AI coding tool Cursor to ship 10 iOS apps in one year, then quit his job to go full-time indie. Learn his strategy and key insights.
Expert OpinionsAI can write test cases and run automation — will test engineers be replaced? This article analyzes survival strategies and transformation paths across three cognitive layers: capability boundaries, human-AI collaboration, and core competitiveness.
Tech FrontiersA 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.
Deep DivesExplore how AITS uses AI Agents to auto-generate test cases, self-heal scripts, and run exploratory testing — helping engineers evolve from script writers to AI testing strategists.
Expert OpinionsWith Citi and Microsoft mass layoffs, should programmers choose foreign companies, SOEs, or big tech? Analysis of career priorities and barbell strategy for risk management.
Expert OpinionsAI programming drives code generation cost to zero, but verifying correctness is the ultimate bottleneck. GitClear data shows 10x copy-paste surge. Developers must shift from writing to verifying code.
Industry InsightsDeep analysis of 5 common pitfalls in AI-generated test cases and how Agent+Skill platforms solve them with automated requirement splitting, precise generation, and end-to-end test execution.
TutorialsA systematic 2025 LLM career transition roadmap covering Python, Transformers, LangChain, LlamaIndex, RAG, Agent development, and fine-tuning across three phases achievable in 2-3 months.
Product ReviewsHands-on test of Claude Sonnet 4.5's code execution and file creation features, showing how one prompt generates Excel, Word, and PPT documents with four optimization strategies and three complete examples.
Tech FrontiersNVIDIA Nemotron Hackathon Korea winners officially announced, showcasing Korean AI developer innovation. Analysis of Nemotron LLM ecosystem, Korea's AI landscape, and NVIDIA's global developer strategy.
TutorialsLearn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
Expert OpinionsDjango co-creator Simon Willison finds Vibe Coding and Agentic Engineering converging in practice. As AI tools grow reliable, where should engineers draw the line on trust and responsibility?