Tag: 自动化
All the articles with the tag "自动化".
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Claude Code Multi-Agent Orchestration Plugins Compared 2026: Choosing Between Ruflo, Maestro, Claude Octopus, and Codex Peer Review
A head-to-head comparison of multi-agent orchestration plugins: Ruflo calls itself the "leading Claude orchestration platform" but underdelivers in execution, Maestro stays lightweight, Claude Octopus runs reviews across 8 models in parallel, and Codex Peer Review gates merges behind three sequential reviewers. From architecture to measured token costs — a decision framework for indie developers.
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Claude Code Workflow Plugins Compared (2026): Superpowers, Shipyard, Ralph Loop, Maestro, or Karpathy CLAUDE.md?
The Claude Code ecosystem has splintered into 100+ plugins as of May. This post zooms in on the "workflow methodology" category—Superpowers, Shipyard, Ralph Loop, Maestro, and Karpathy CLAUDE.md. Design philosophy, context overhead, fit, and combination strategies, plus a decision tree for indie developers.
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Claude Code's Five-Layer Architecture Explained: How MCP, Skills, Agent, Subagents, and Agent Teams Work Together
Anthropic officially describes Claude Code as a five-layer architecture: MCP for connectivity, Skills for task knowledge, Agent as the main worker, Subagents for parallel isolation, and Agent Teams for coordination. This post breaks down each layer's role and collaboration patterns, with a real-world example from my blog's blog-preflight Skill showing three layers working together.
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Claude Code Skills in Practice: Building a Reusable Cross-Project Skill from Scratch
Pull your repetitive playbooks, checklists, and multi-step workflows out of CLAUDE.md and turn them into Skills. Using a "pre-publish blog check" as the running example, this post covers the SKILL.md structure, every frontmatter field, context fork isolation, the boundaries with Slash Commands and Sub Agents, plus debugging and sharing.
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A Deep Dive into Claude Code Hooks: Making the AI Coding Tool Truly Fit Your Workflow
Claude Code Hooks might be the most underrated AI coding feature out there. This post starts with how the three hook types fire, then walks through 10+ real configurations from my blog agent, tooling site, and daily work to show how Hooks can make Claude Code truly part of your workflow.
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After OpenClaw Shut Down: Rebuilding a Multi-Agent Automation Setup with the Claude Code CLI
When the third-party AI agent framework OpenClaw shut down, I rebuilt the entire multi-agent automation experience with the Claude Code CLI: Telegram bots, scheduled tasks, session persistence — plus every pitfall I hit along the way.
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Computer-Use: When AI Agents No Longer Need APIs
AI agents are learning to operate computers the way humans do—reading the screen, clicking the mouse, typing on the keyboard. From Anthropic's Claude Computer Use to Microsoft's CUA to OpenAI's Operator, Computer-Use is redefining what "software integration" means.
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Karpathy's AutoResearch: Letting an AI Agent Run 700 ML Experiments on Its Own
A deep dive into Karpathy's open-source AutoResearch project: how a 630-line Python script lets an AI agent run ML experiments autonomously on a single GPU, completing 700 experiments in two days and finding 20 effective optimizations. From architecture to practical applications, here's why every developer should pay attention to the "Karpathy Loop" pattern.