202 related articles
Apple Sues OpenAI Over Trade Secret Th…
Apple has filed a trade secret lawsuit against OpenAI, fracturing the once-deep partnership between the two tech giants. A deep analysis of talent mobility, tech competition, and AI coopetition.

A sobering Hacker News post memorializes Haitham, a programmer killed in a targeted strike. We explore how the global developer community confronts armed conflict and human cost.

Complete guide for configuring OpenAI Codex Agent in China, covering installation, API key setup, permission modes, reasoning intensity, and security considerations for third-party relay services.

What is an AI Agent? Starting from Bill Gates' claim about the computing revolution, this article explores AI Agents' intuitive concepts, four core components (LLM+Planning+Memory+Tools), and what Agent development means for programmers.

A developer's real case of building a dental clinic management system with GitHub Copilot and Azure SQL, revealing AI coding limits in cloud security config and how Human-in-the-Loop breaks through.

How can experienced Java and backend developers pivot to AI? This deep-dive explains why the Agent direction is the best fit — skills transfer well, market demand is high, and the path from "using frameworks" to "understanding source code" is clear.

Is learning Java still worth it after GPT-5? Explore why programming fundamentals still matter and how to pivot toward AI application development in the AI era.

AI Agents are reshaping software development with 42.8% market CAGR. Learn the difference between Agents and traditional AI, plus a complete LangChain-based curriculum to launch your career in intelligent agent development.

A real NCA-GENL study journal from an IT-support-turned-AI-engineer: 50+ scenario questions, 7-week prep, and a brutal 40% on Trustworthy AI. Covers Transformer concepts, NVIDIA tools, and what actually works.

A complete AI Agent learning roadmap covering BDI theory, core components (Perception/Planning/Execution), AutoGen multi-agent frameworks, and DeepSeek RAG projects for beginners.

Does The Mythical Man-Month still hold 50 years on? A deep analysis of Brooks's Law, the second-system effect, and conceptual integrity in the AI coding era.

In the age of AI-assisted programming, how do you make tools like Codex and Claude Code output more stably? This article deeply analyzes SuperPowers and GStack, covering project-level orchestration and module-level code layering to help developers master AI coding.

Want to become an Agent engineer? This article systematically covers three core skill tracks—LLM fundamentals, LangChain architecture development, and enterprise deployment—to help you avoid detours.

Playwright E2E Builder is an AI Skill installed in Cursor that transforms UI automation from throwaway scripts into sustainable engineering assets through a four-step workflow, with built-in locator health checks.

Embedded Linux or AI Agent development? This in-depth comparison covers salary, job availability, and career stability to help developers pick the right path.

Want to switch careers into LLM development but don't know where to start? This guide breaks down a four-level skill roadmap — from basics and API calls to RAG, fine-tuning, Agent development, and multimodal — to help you build real AI career value.

A tech enthusiast decoded an obfuscated Bash script on a Uniqlo T-shirt. This article breaks down the reverse-analysis approach, obfuscation tricks, and safe-execution principles.

Learning Python from scratch? This article breaks down the three learning stages—Fundamentals, Intermediate, and Practice—covering variables, OOP, scraping, and data analysis to help you plan a systematic Python path.

How can beginners learn Python without getting lost? This guide outlines a 3-stage learning path covering basics, advanced topics, and hands-on practice in web scraping, data analysis, and office automation.

Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.