76 related articles

In-depth analysis of MiniMax H3 local video generation capabilities, exploring hardware requirements, advantages, challenges, and the trend of AI video moving from cloud to local deployment.

Moonshot AI launches Kimi K3 with 2.8 trillion parameters and 1M token context. Google delays Gemini 3.5 Pro, AI coding tools upgrade collectively as competition shifts to coding and Agent capabilities.

Kimi 3 joins the Pro subscription plan, giving paying users direct access to the latest flagship model. Analysis of Kimi 3's upgrades, Moonshot AI's subscription strategy, and China's evolving LLM landscape.

Kimi 3 is now included in the Pro subscription plan, giving paying users direct access to the latest flagship model. This article analyzes Kimi 3's upgrades, Moonshot AI's subscription strategy, and shifts in China's LLM competitive landscape.

Jensen Huang's first-ever tweet backs open-weight AI. 50 Silicon Valley giants oppose banning Chinese open-source models. Deep analysis of the interests behind closed vs. open AI ecosystems.

The same LLM API performs drastically differently under different Agent frameworks. Through a real database crash case, this article analyzes why choosing the right Agent matters more than switching models.

Which is more cost-effective, OpenAI Codex or Claude Code? Starting from real bills, this article breaks down the billing structure, multiplier traps, and subscription limits of AI coding assistants.

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.

Hit the Vibe Coding ceiling? This guide covers the three-stage AI coding progression path, Claude Code vs. Codex, SuperPower SDD, and how to go from vibe coding to enterprise-grade AI engineering.

Alibaba's Qwen3.8 challenges larger models with a 2.4T-parameter MoE architecture, claiming second only to Gemini. A deep dive into MoE mechanics, continuous updates, two-speed release strategy, and real local deployment requirements.

A deep dive comparing Vibe Coding vs AI Engineering, with hands-on analysis of Claude Code and Codex, two real projects, and the role of Skills in enterprise AI development.

Why Claude Code cache misses occur with DeepSeek and MiniMax, how Prompt Cache and KV Cache work, and practical solutions including API proxy layers and stable prefix strategies to cut AI coding costs.

Build a local AI knowledge base with MiniMax M2 in OpenCode: source tracing, fact vs. opinion separation, conflict preservation, and timeliness management.

Deep dive into OpenClaw multi-agent AI programming workflows: context layering, CMUX parallel terminal management, work trees, and manager-perspective debiasing for scalable AI dev automation.

How should test engineers choose AI tools? This guide breaks down the pitfalls of pure AI solutions and recommends a hybrid strategy using tools like DeepSeek, TRAE, Claude Code, and Skill encapsulation.

How can Chinese developers access Claude Code affordably? This guide covers model selection (DeepSeek V4 Pro top pick), proxy vs. direct connection risks, environment variable setup, and Coding Plan cost-saving strategies.

Many enterprises fail at AI Agents due to choosing the wrong tools and lacking methodology. This article outlines an eight-step Agent development method—from cognitive foundations, scenario selection, hand-writing ReAct, and structured output to Tool Use, RAG, evaluation sets, and production fallback.

Alibaba has banned Claude Code as high-risk software. Reverse engineering revealed a covert environment-identification mechanism hiding user fingerprints in punctuation via prompt steganography. A deep dive into the incident and AI tool trust.

June 23 AI roundup: Claude Sonnet 5 leaked with 1M context window, Zhipu hits HK$1T market cap, Alibaba releases Happy Horse 1.1, and Sakana AI launches a multi-model orchestration system.

A head-to-head hands-on test of Sakana Fugu vs GLM 5.2 based on real Hermes agent workflows. Covering tool calling, frontend generation, and code improvement to reveal each model's true performance, speed, and value.