Tutorials
In-depth AI tutorials — from fundamentals to production: RAG, agents, deployment, fine-tuning and more.
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From Demo to Production: A Practical Guide to Agent Harness Engineering
Agent Harness is the engineering infrastructure wrapped around the model, determining the success or failure of AI moving from demo to production. This article systematically covers the core concepts of Harness, the ETCLOVG seven-layer architecture, the five-tier memory system, dynamic workflows, and other key designs. Combined with practical cases like Claude Code, it provides a complete methodology covering context management, tool orchestration, and security governance. Suitable for developers and technical leaders who are bringing AI into real engineering.
AI Agent Prompt Engineering: The Complete Guide to Making Your Agent Truly Understand You
There is a fundamental difference between ordinary prompts and Agent prompts. This guide is specifically for AI Agent scenarios, covering System Prompt architecture design, tool call instruction writing, multi-step task decomposition prompts, and core techniques to avoid Agent hallucinations.
AI Agent Prompt Engineering in Practice: A Complete Framework for Writing High-Quality System Prompts
Prompt quality is the decisive factor in AI Agent performance. Based on extensive Agent project experience, this article summarizes a complete System Prompt design framework covering role definition, tool usage guidelines, output format control, error handling, and key techniques to avoid common runaway behaviors.
Loop Engineering: The New Paradigm for AI Coding Agents
Loop Engineering is a new paradigm for AI coding agent collaboration, centered on replacing manual agent instructions with automated loops. This article dives into the five core modules (automated scheduling, worktrees, project skills, plugin connectors, sub-agents) and persistent memory, with concrete implementations in Claude Code and Codex, plus Anthropic's internal Skills taxonomy and writing tips. Ideal for intermediate to advanced developers looking to move from manual operations to systematic agent orchestration.