87 related articles

OpenAI launches the GPT-5.6 family (Sol/Terra/Luna), ChatGPT Work, a new desktop app, and Hosted Sites — marking AI's evolution from Q&A assistant to autonomous task executor.

A deep dive into Claude Code, the definitive course from DeepLearning.AI and Anthropic: from agentic principles and context optimization to three hands-on cases—RAG chatbot, Figma-to-frontend, and data analysis. Master AI-assisted coding methodology.

In-depth analysis of Tencent's open-source reasoning model Hunyuan HY3: MoE architecture, 295B total params, Apache 2.0 license, coding & front-end rivaling DeepSeek V4 Pro at 1/35 the cost.

A Reddit user tested GPT-5.6 Sol with a single prompt. In the Row-Bot framework, the model built a 3D interactive London website in 5 minutes—complete with browser verification and vision analysis. A deep dive into AI coding Agents.

What is an AI Agent's harness? This article systematically dissects the core components of agent frameworks: context management, tool use, control loops, and caching strategies—revealing why the same model performs so differently across harnesses.

An in-depth analysis of the zero-dependency decision record auditor: from AI compliance and incident postmortems to human-AI accountability, exploring how 'Governance as Code' enables traceable, transparent AI decision-making.

Andrew Ng partners with Anthropic to launch a hands-on Claude Code course, revealing its simple architecture, local security edge, and core context methodology across three cases: RAG chatbot, Jupyter analysis, and Figma-to-frontend.

meshoptimizer is a lightweight C++ open-source library offering vertex cache optimization, overdraw reduction, mesh compression, quantization, and LOD simplification for game engines, WebGL, and glTF pipelines.

Cursor's new Team Tools Leaderboard lets you discover popular plugins, skills, and MCP services in your team with one-click setup — unifying configs and spreading best practices.

Onboard-CLI is an open-source CLI tool combining LLMs and AST analysis to help developers quickly visualize and understand unfamiliar codebases. A deep dive into its tech approach, use cases, and limitations.

AMD officially unveils the Ryzen AI Halo local AI dev kit, priced around $4,000 with 128GB unified memory, capable of running 70B LLMs locally. An in-depth look at its specs, pricing, and market competition.

An in-depth hands-on review of Zhipu AI's flagship GLM-5.2: 1M-token context, strong coding, mature agent workflows—at one-fifth the price of top frontier models. Covers website testing, Cursor integration, MCP tooling, and production migration.

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.

Frontend hiring now treats AI capabilities as a core assessment, covering RAG knowledge bases, AI Agent development, and LangChain.js engineering. Learn how LangChain.js + Nuxt.js helps frontend developers build memory- and retrieval-capable AI full-stack apps.

A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.

Unsloth v0.1.471-beta adds full GLM-5.2 support, 3x longer context (up to 200K tokens on a single GPU), a new Model Hub, and Chat Canvas — a major leap for local LLM fine-tuning.

Hands-on test of Kimi K2.7 Code in High Speed mode across two real projects: a frontend interactive lab and an e-commerce microservice. Speed is noticeably improved, with strong responsiveness for legacy codebases and frontend-backend integration.

Anthropic launches a global life sciences hackathon with Gladstone Institutes, offering $100K in API credits to advance AI-driven scientific research using Claude Science and Claude Code.

A roundup of 12 trending open-source AI agent projects on GitHub, covering video generation, agent frameworks, skill packs, code engines, security scanning, and voice processing.

VibeCoding best practice: never migrate a Demo directly to your main project. Learn the 3-step field alignment methodology — manual review, AI scanning, and architectural refactor.