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When AI generates better code than you write by hand, should programmers still code themselves? Explore how to balance efficiency with skill growth in the AI coding era.

An in-depth analysis of 8 common myths about GenAI in software engineering, covering AI replacing programmers, code quality, productivity, security, and compliance.

How can PhD students avoid coding skill atrophy when using AI programming assistants? This article proposes a layered delegation strategy with actionable advice for researchers.

When AI handles the details for us, do we gain empowerment or lose capability? This article explores the hidden costs of outsourcing details to AI and how to use AI tools rationally.

Natural language programming is reshaping frontend development. This article explains AI code generation, Prompt formulas, pitfall avoidance, RAG, Agent orchestration, and skill maintenance.

AI is reshaping the career landscape of Java development: junior CRUD roles are the first to go, but demand rises for engineers who understand business, architecture, and can command AI. A deep dive into the transformation path for Java developers.

As AI coding assistants like Codex become standard, the risks of overreliance grow too. Learn when developers should "show a red card," reclaim control, and safeguard code quality and responsibility.
Embracing AI in the Classroom: A Teach…
One teacher chose not to ban AI but to co-create a classroom contract with students. This article examines the logic, contract design, and educational philosophy behind this teaching experiment.

Deep analysis of the AI industry bubble: OpenAI's -122% profit margin, enterprise token budgets burned in months, NVIDIA's shell game, and collapsing software quality.
TutorialsDeep dive into Cursor 2.0's Vibe Coding methodology with two real-world scenarios: full-stack site building and enterprise bug fixing using the Rules, Commands, Context architecture for 10x dev efficiency.
Industry InsightsDeep analysis of AI Agents vs LLMs, covering three evolution stages, four core architecture components, three penetration paths, multi-agent collaboration, and societal impact.
Expert OpinionsDeep analysis of the skill atrophy crisis caused by Agentic Coding. Real Reddit cases and expert insights reveal how AI tools erode developer skills, with practical solutions.
Expert OpinionsAn in-depth look at how to properly use AI coding tools like GitHub Copilot, exploring hybrid development, prompt evolution, and the risk of eroding developer learning abilities.
Expert OpinionsA developer Vibe Coded with AI for 7 months, made 234 commits and 1,690 lines of code, then the project collapsed. Five hard lessons reveal AI's true limits: it builds features, not architecture.