101 related articles

A deep dive into Harness Engineering — the third phase of AI coding. Based on research across 2,853 GitHub repos, explore agents.md, Skills, MCP, and eight configuration mechanisms to control your AI coding assistant.

LangChain's LangSmith Engine is an intelligent agent tool for tracking Agent failures, prioritizing issues, and auto-drafting fixes. Deep dive into its core capabilities, sandbox isolation, sub-Agent architecture, and continuous evaluation challenges.

An in-depth look at Claude Code's development and design philosophy: why the CLI form, how the "minimal scaffolding" architecture works, and how it balances safety with autonomy in AI programming.

A deep dive into Claude Code Agent Teams: how they differ from Subagents, contract-first design, model allocation strategies, and a real case of 16 agents building a C compiler.

Tencent Hunyuan 3 open-sourced with 295B MoE; GPT-5.6 Sol Ultra may bring multi-subagent collaboration to Codex; Alibaba FunASR upgraded; Japan plans 10M AI robots by 2040.

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.

Alibaba Cloud vs Volcano Engine TTS: why "I want both" is the mature engineering decision. Dual-engine routing design, priority trap debugging, and vibecoding-powered implementation.

DeepLearning.AI and Anthropic launch an Agent Skills course. Learn how Skills work, progressive disclosure, MCP integration, and subagent patterns for AI agent development.
Claude Code Cost-Saving Tips: Let AI U…
Simon Willison shares Claude Code tips: trust the AI's judgment over rigid rules, and use primary/subagent model delegation (Opus/Sonnet/Haiku) to cut token costs dramatically.

Agent Studio unifies AI Agent role definition (Subagents) and Skills on one platform, enabling coordinated orchestration through a shared MCP endpoint, progressive disclosure, and moderated community publishing.

Deep dive into Loop Engineering's five building blocks: scheduling, worktrees, skills, plugins & connectors, and subagent separation, with three practical cases from minimal loops to enterprise-grade applications.

Complete Claude Code beginner's guide covering Git, VS Code setup, third-party model integration, permissions, Tools, Hooks, Skills, SubAgents, and a hands-on project walkthrough.

Deep dive into Kimi Work Agent cluster's three collaboration architectures, with a hands-on demo of 300 AI agents building a website in parallel, covering requirements breakdown, multi-Agent coding, and auto-deployment.

In-depth guide to Kimi Code's advanced features: video understanding, Swarm parallel mode, ACP protocol IDE integration, Goal multi-round iteration, and Skills configuration with Claude Opus comparison data.

A practical guide to Claude Code for test development: auto-generating test code, Plan mode for spec-driven development, Playwright MCP automation, and deep GitHub integration.

A tech team used 26 hours of Vibe Coding to build a video membership platform, replacing a ¥6,800/year SaaS for under ¥1,000 in AI development costs.

Deep breakdown of ByteDance's internal 198-page Codex Chinese manual covering installation, Commands, MCP workflows, Skills templates, multi-Agent collaboration, and background task scheduling.

In-depth breakdown of ByteDance's 198-page Codex Chinese manual covering installation, Commands, MCP workflows, Skills templates, and multi-Agent collaboration.

Deep dive into OpenAI Codex's three-layer architecture: CLI local Agent, cloud sandbox async execution, and Codex App multi-Agent orchestration command center.

Deep dive into multi-agent solutions from Cursor, Claude Code, and Tencent CodeBuddy — covering parallel exploration, cross-layer collaboration, context isolation, practical tips, and selection guide.