54 related articles

Explore Harness Engineering: the next evolution beyond context engineering for AI programming. Learn how to build enterprise-grade Skill systems and deliver real projects with mid-tier models.

A maker builds a DIY companion robot with NVIDIA Jetson Orin and 4S LiPo battery. Explore the full development journey from first power-up to AI interaction, including edge computing, power design, and companion robot trends.

An in-depth look at AI testing challenges. Learn to write reusable Skill packs and master Agent testing and LLM evaluation—covering the SKILL.md six-dimensional rule, skill-creator, EvalScope, and dataset selection.

The RingCentral China Hackathon, themed on Agentic AI, gathered top engineering teams. This article explores agent AI's evolution, champion team Stargate, and China's developer culture.

The RingCentral China Hackathon, themed on Agentic AI, gathered top engineering teams. This article explores the evolution of agentic AI, champion team Stargate's engineering skill, and the unique value of China's developer culture.

The RingCentral China Hackathon, themed on Agentic AI, gathered top engineering teams. This article explores agent AI's evolution, champion team Stargate, and China's unique developer culture.

In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.

From DeepSeek to Kimi K3 and Qwen 3, Chinese open source AI models are closing in on OpenAI and Anthropic at stunning speed. A deep dive into narrowing gaps, IPO valuation risks, the "open source decelerationism" debate, and why Google may be the biggest winner.

A Claude Code plugin called "done" went viral on Reddit by replying to every request with just "Done." — a sharp satirical take on AI tool hype and metric obsession.

A former Tencent engineer used CodeBuddy AI to solo-build a 'Decision Paralysis' mini program — from a phone specs spreadsheet to a fully launched WeChat app.

Learn how to use Coze (扣子) with zero coding experience — from the Template Store to building custom AI workflows. A complete beginner's guide.

OpenAI's adjusted operating margin hits -122%, Anthropic's profitability remains murky, and SpaceX claims a $22.7T AI market. A deep dive into three AI giants' real financials and the capital game behind the IPO race.

A series of AI-generated ink-and-gold mandalas sparked debate on Reddit. This article analyzes their prompt structure, Eastern aesthetic language, and the cross-cultural methodology of AI art creation.

A Reddit user ran EQ tests on ChatGPT 5.5 and 5.6, covering meeting emotion ranking, chess-behavior judgment, and facial attractiveness. Version 5.6 shows clear gains in multimodal emotional understanding, but social common sense remains a core weakness.

OpenAI launches the GPT-5.6 model family (Sol/Terra/Luna) and ChatGPT Work, enabling automated financial analysis, local file operations, Codex coding, and cross-app workflows—AI officially becomes a real work partner.

DeepSeek is entering AI chip development, targeting compute autonomy. This article analyzes its motivations, software-hardware synergy, chip R&D challenges, and impact on China's AI vertical integration.

In-depth analysis of OpenAI's GPT-5.6: Sol, Terra, Luna pricing, Cerebras inference advantages, and how OpenAI and Anthropic navigate government regulation amid US-China AI competition.

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.

How GPR, LiDAR, and photogrammetry uncover Cecil B. DeMille's buried film set, a Hollywood stunt shipwreck, and a Gold Rush ghost town in Drain the Oceans.

An Agent developer's three-round interview reveals why general-purpose Agents are a dead end for startups. The path forward: vertical Agents, domain context, and iteration speed as a moat.