85 related articles

Build production-grade AI Agents with a pure Go stack using ByteDance's Eino framework. A deep dive into seven core capabilities: multi-Agent orchestration, long-task execution, command approval, RAG, MCP, Skills, and database reporting.

How Base44's product team scaled from a single founding engineer to an 80-person team with Claude Code. Covers AI-assisted onboarding, code review, user evaluation, and QA automation.

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.

Skill and MCP are two core concepts for building AI Agents. Skill encapsulates task execution methodology, while MCP provides a standardized protocol for connecting external tools. This article breaks down their core differences, abstraction levels, and collaboration.

Rowboat is an open-source, local-first AI desktop client positioned as a Claude Desktop alternative. Local data storage and fully transparent code help developers control privacy and workflows.

Skill isn't just for programmers — it's crossing industry lines to become the operational foundation for entire organizations. This article unpacks the three cores of knowledge work, explores legal, research, and finance use cases, and examines how a Skill Library becomes a core enterprise AI asset.

A complete beginner's guide to Claude Code covering setup, Plan Mode, CLAUDE.md project memory, MCP connectors, Skills, Plugins, and deploying via GitHub and Vercel.

Cursor unveils three major updates: Cursor Mobile, Origin platform challenging GitHub, and a frontier in-house LLM trained from scratch. A deep dive into Cursor's strategy.

A comprehensive guide to Claude Code Skills and MCP resources, covering international platforms like Skills.mp and Smithery plus Chinese alternatives, with a quick selection guide to boost AI coding productivity.

A complete guide to Claude Code from setup to deployment, covering Plan Mode, MCP connectors, reusable skills, CLAUDE.md project memory, and Vercel deployment — no coding experience needed.

Compare Claude Code and traditional AI chat tools like ChatGPT across five dimensions: interaction, context, execution, memory, and tool integration.

Complete guide to commercial AI agent development from scratch, covering requirements analysis, architecture design (ReAct framework, deep search, intent recognition), hands-on Coze platform implementation, workflow creation, and production deployment.

Deep dive into Claude Desktop's Chat, Cowork & Code modes, Skill system setup, 8 automation workflow examples, and 9 practical tips to dramatically save Tokens.

A deep comparison of Claude Code vs regular AI chat across five dimensions: interaction, context understanding, execution, memory, and tool invocation.

In-depth review of Alibaba's Qoder CN AI coding agent, covering features, expert suites, WeChat/DingTalk connectors, and hands-on programming tests.

Deep dive into OpenAI Codex's core capabilities and real-world applications, covering automated coding, compliance reviews, and security detection — revealing how AI coding agents boost team efficiency by 50%.

Complete guide to MCP protocol in Claude Code: adding servers, configuring three scope levels, and optimizing context windows to efficiently connect external tools and data sources.

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.

In-depth review of OpenAI Codex App's five core features: Streets parallel development, deep Git integration, Skills system, Automation tasks, and MCP support.

Deep dive into the viral Claude Code manual on GitHub (33K+ Stars): slash commands, memory system, MCP protocol, Hooks plugins, and how to build a full AI dev team.