56 related articles
When AI Treats Humans as Subagents: Ro…
Exploring the paradigm shift where humans become "subagents" in AI Agent architectures. Analyzes human node design in LangChain and AutoGen, and the risks of ceding control and cognitive atrophy.

A deep engineering analysis of Agent internals: how LLMs decompose tasks via tool calling, why context compression and memory are essential, and why solo developers should avoid heavy frameworks.

Cursor users selecting Grok 4.5 find subagents secretly calling expensive Opus 5, consuming 11% quota per prompt. Analysis of model decoupling, cost transparency, and user strategies.

A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.

A step-by-step Pi Agent configuration tutorial covering installation, LLM connection, extension ecosystem, MCP setup, and Token-saving tips. Learn to build a truly controllable AI coding assistant.

Tech blogger Theo found GPT-5.6 runs better in Claude Code than in OpenAI's own Codex. A deep dive into their differences in system prompt quality and subagent orchestration.

DeepSeek V4 official release expected mid-July with peak/off-peak pricing; Meituan open-sources trillion-parameter MoE model LongCat 2.0 with million-token context; Cursor launches iOS app. A quick look at the latest AI industry news.

DeepSeek V4 launches mid-July with peak/off-peak pricing; Meituan open-sources trillion-parameter MoE model LongCat 2.0 with million-token context; Cursor debuts iOS app. A quick look at the latest AI industry news.

Why does AI-generated UI all look the same? Designer SEN open-sourced a Skill called Taste that uses a four-agent pipeline to reverse-engineer website "taste" into verifiable design principles called Taste DNA.

An in-depth guide to Anthropic's Claude Code agentic coding tool, covering installation, pricing plans, model selection, token management, CLAUDE.md global memory, MCP integration, Subagents, and more.

In-depth analysis of Claude Code customization methodology: from access, knowledge injection to tooling. Master context window management, zero-overhead Hooks, and MCP & Skills plugin primitives to build a scalable AI software engineering workflow.

A complete guide to Claude Code: environment setup, switching to domestic LLMs, CLI commands, Git workflows, MCP, Subagents, and enterprise project walkthroughs.

Andrew Ng's DeepLearning.ai teams up with Anthropic to teach Agent Skills: file structure, progressive disclosure, MCP integration, and the full path from Claude.ai to the Agent SDK.

OpenCode is an open-source terminal coding agent with 180K+ GitHub stars, supporting hundreds of models and a dual-layer agent architecture — completely free. See how it compares to Claude Code.

A complete guide to OpenAI Codex: CLI setup, slash commands, AGENTS.md, MCP integration, multi-agent collaboration, and a RAG customer service project walkthrough.

GPT-5.6 (Sol) is powerful but burns credits fast. Learn reasoning tier selection, Fast Mode, and prompt stop-point strategies to get the most out of Codex.
GPT-5.6 Trio Launches: Luna, Terra, an…
OpenAI officially launches the GPT-5.6 family: Luna, Terra, and Sol, with 1M token context and a focus on long-running agentic performance. A deep dive into three-tier pricing, Agents' Last Exam results, the SWE-Bench Pro controversy, and new API features like programmatic tool calling and native multi-agent support.

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.

GPT-5.6 is officially released with core upgrades including programmatic tool calling, autonomous subagent delegation, and higher token information density. A hands-on card game build reveals its Agentic power.

Claude Code is one of the most powerful AI coding agents, running in the terminal to write code, batch operations, build web projects, and more. This guide covers installation, connecting local models via CC Switch, permission modes, CLAUDE.md, Skills, MCP, Subagents, and more.