309 related articles

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.

Microsoft Power Platform's Dataverse plugin for coding agents supports GitHub Copilot, Claude Code, and more — enabling natural language data modeling, queries, security config, and docs generation.

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

A complete guide to Claude Code Skills: what they are, how they differ from Plugins, three installation methods, how to write SKILL.md, trigger mechanisms, and top resource recommendations.

No coding required! This guide breaks down the complete Claude workflow: custom Projects, batch SEO content, one-sentence tool building with Artifacts, and Claude Code terminal ops—with real traffic-growth cases.

A complete workflow from Google I/O: use Antigravity, Modern Web Guidance, and Chrome DevTools MCP to build Chrome extensions automatically — from prompt to publish.

Pi Agent hands-on review: ~1,200 token overhead, no built-in system prompts, supports Codex/Grok and more. Compared to Claude Code and OpenCode, Pi Agent wins with minimalist design and full customizability.

Why do AI results vary so dramatically? LangChain V1.3 reveals the answer: engineering mindset. Covers LangGraph, Deep Agent, RAG, Time Travel, and more.

Master Codex AI programming assistant with this complete guide: CLI setup, slash commands, agents.md governance, MCP protocol, multi-agent systems, and enterprise plugin development.

Enterprise guide to Claude Code: CLI setup, switching to DeepSeek and other Chinese AI models, Git workflow automation, and bug fix loops to boost team productivity.

AI agents are revolutionizing JS reverse engineering. This deep dive covers built-in tool chains, automation modes, prompt engineering for e-commerce, and full pipeline automation from parameter extraction to database storage.

OpenAI merges ChatGPT and Codex into a Super App, unveiling the early blueprint of an AI OS. A deep-dive into four core strategies: Loop workflows, tool stack economy, multi-threading, and Sites.

Claude Code isn't just a chat AI — it reads your project files, edits code, and runs commands directly. See how it compares to ChatGPT and Cursor across 5 key dimensions.

Learn how to build an automated AI agent using Cherry Studio, MCP protocol, and locally deployed models — covering DeepSeek integration, web scraping, and private knowledge base setup.
Smart Proxy: The Key Architecture for …
Too much AI permission is risky; too little kills productivity. A smart proxy acts as a controllable middleware layer — intercepting, auditing, and policy-gating AI agent actions in tools like Claude Code and Cursor for safe autonomous operation.

Claude Code found to contain user monitoring logic, raising AI tool privacy concerns. Learn how to isolate Claude Code, Codex & Copilot with Docker Sandboxes — full setup and escape testing included.
Juggler: An Open-Source GUI Coding Age…
Juggler is an open-source GUI coding agent built by the creator of JUCE. It offers a graphical interface for managing AI coding workflows with transparency and full customization.

OpenAI Codex is redefining how AI engineers work: from code completion to autonomous Agents, from single-threaded to parallel Value Maxing. A deep dive into the Codex App architecture, open ecosystem, and Manager of Agents practice.

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

MCP and Skills aren't alternatives — they occupy different layers of AI Agent architecture. This article breaks down Function Call, MCP, and Skills to clarify each layer's role.