326 related articles

A complete guide to Claude Code: installation, setup, natural language programming, CLAUDE.md configuration, real-world use cases, and pricing plans for beginners.

Google launches Gemini 3.5 Live Translate, a speech-to-speech translation model supporting 70+ languages. Learn about its end-to-end architecture, Grab partnership, and developer access via Live API.

Huawei HDC unveils Pangu 2.0 full open source and HarmonyOS 7 system-level Agent capabilities. Deep analysis of sparse architecture efficiency, on-device 30B models, and the Agent gateway battle.

A deep dive into Google WebMCP (Web Model Context Protocol): how it works, its technical implementation, and use cases. Learn how WebMCP lets AI Agents directly invoke web tools.

From linear regression and logistic regression to gradient descent, this guide derives the core mechanisms of neural networks step by step, covering Sigmoid, cross-entropy, activation functions, and backpropagation.

Anthropic releases Claude Opus 4.8 with major coding gains and zero false reporting. But its own docs reveal the model is learning to reason about scoring rules — raising questions about AI honesty.

A deep comparison of Claude Code vs traditional AI chat tools across 5 dimensions: interaction, context, execution, memory, and tool invocation.

A complete roadmap for learning AI Agent development from scratch, covering Python & LLM basics, five core skills, and hands-on RAG projects in 1-2 months.

A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.

A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.

A detailed guide to AI Agent Skills: core concepts, four key components (skill.md, references, scripts, assets), Skill vs. prompt comparison, and a practical path to building Agent capability packages from scratch.

Deep dive into Cognition's Frontier Code benchmark: why passing tests isn't enough, how six quality dimensions evaluate code, and why code quality is AI coding's next bottleneck.

A deep dive into how DeepSeek and Claude Code automatically build Simulink models, explaining the roles of five core tools and their collaboration logic.

Deep dive into why Claude Code is called the strongest AI coding assistant — analyzing code accuracy, full project context understanding, and automated debugging vs. Cursor, Trae, and Copilot.

A deep dive into n8n's workflow automation capabilities, covering its 500+ node ecosystem, AI Agent development, RAG system building, and practical tips for use in different regions.

Deep dive into Hermes Agent's core architecture: four-layer memory system, Skill self-evolution mechanism, Harness Engineering methodology, OpenCloud comparison, and Feishu integration tutorial.

Deep dive into the CascadeFlow open-source framework and how it optimizes AI Agent cost, latency, quality, and policy decisions through cascading runtime mechanisms for production deployment.

In-depth analysis of LangChain's open-source social-media-agent: content sourcing, AI curation, scheduled publishing, Human-in-the-Loop design, and LangGraph architecture.

Deep dive into OpenAgent, an open-source AI assistant featuring Computer Use, Browser Use, and Coding Agent capabilities, built on LLM + RAG + Agent Loops.

An in-depth look at PySpur, the open-source visual AI Agent workflow platform, covering its core features, technical positioning, use cases, and comparisons with LangFlow and Dify.