#工程化实践
7 related articles
Tutorials·2 min
A Practical Methodology for Dissecting Industrial-Grade Agent Source Code with 3 IDEs Working in Tandem
Learn how to use Codex, Claude Code, and Cursor together to dissect industrial-grade Agent source code, with a reusable layer-by-layer methodology applied to OpenCloud.
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Tutorials·4 min
Engineering Practices That Boosted Claude Code Skill Activation Rate from 25% to 90%
How Hooks+Skills+Commands+Agents work together in Claude Code to boost AI skill activation from 25% to 90%, with core config files and deployment guide.
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Tutorials·2 min
Multi-Model Hot-Swap Architecture: Switch AI Models at Minimal Cost
A complete guide to building a multi-model hot-swap architecture for production AI projects, covering abstraction layers, adapter patterns, visual configuration, and error-fixing workflows.
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Tutorials·2 min
Harness AI Engineering Programming: A Practical Guide to the Rules + Skills + Wiki + Changes Four-Layer System
Deep dive into Harness AI Engineering Programming: a Rules + Skills + Wiki + Changes four-layer system with Claude Code for automated, controllable enterprise development.
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Tutorials·1 min
Claude Code Multi-Agent Parallel Development in Practice: Post-Mortem and Engineering Pitfall Guide
Practical guide to Claude Code Agent Teams multi-agent parallel development, covering 7 common pitfalls like naming conflicts, AI-invented APIs, and token limits, with complete engineering solutions.
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Tutorials·1 min
Practical Engineering Guide: Building Multi-Component RAG Systems with Claude Code
Learn how to build multi-component multimodal RAG systems with Claude Code using CLAUDE.md recursive loading, virtual environment isolation, and Plan mode auditing.
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